Keith A. Pray : Home : Academic : Machine Learning : Neural Networks Revisited : Report : Experiments : paramselection-hidden

Experiments
[ Intro ]	[ full-2 ]	[ medium-1000 ]
[ medium-10000 ]	[ medium-2000 ]	[ medium-3000 ]
[ medium-4000 ]	[ medium-5000 ]	[ medium-6000 ]
[ medium-6000a-zero ]	[ medium-6000a ]	[ medium-6000b ]
[ medium-7000 ]	[ medium-8000 ]	[ medium-9000 ]
[ medium.2-1000 ]	[ medium.2-10000 ]	[ medium.2-2000 ]
[ medium.2-3000 ]	[ medium.2-4000 ]	[ medium.2-5000 ]
[ medium.2-6000 ]	[ medium.2-7000 ]	[ medium.2-8000 ]
[ medium.2-9000 ]	[ optimal-1 ]	[ optimal-1a ]
[ optimal-2 ]	[ optimal-3 ]	[ optimal-4 ]
[ optimal-5 ]	[ optimal-5a ]	[ optimal-6 ]
[ param-learn ]	[ param-momentum ]	[ parameter-matrix ]
[ paramselection-hidden ]	[ short-1000 ]	[ short-2000 ]
[ short-3000 ]	[ short-4000 ]	[ short-5000 ]
[ short-6000 ]	[ short.2-1000 ]	[ short.2-2000 ]
[ short.2-3000 ]	[ short.2-4000 ]	[ short.2-5000 ]
[ short.2-6000 ]	[ simple-10000 ]	[ simple-100000 ]
[ simple-2000 ]	[ simple-5000 ]
[ Up: Report ]
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	0.9029039541416137	age
	-0.6892086919968345	workclass=Private
	-0.9927062271272413	workclass=Self-emp-not-inc
	2.6205607306684087E-4	workclass=Self-emp-inc
	0.8446475096743951	workclass=Federal-gov
	-0.2844606759414141	workclass=Local-gov
	0.8373759309664404	workclass=State-gov
	0.9846147521377846	workclass=Without-pay
	-0.18436848993945265	workclass=Never-worked
	0.1289895484894179	fnlwgt
	-0.6726365933916276	education=Bachelors
	-0.06653969293805617	education=Some-college
	0.8246485538665651	education=11th
	-0.25468837086196316	education=HS-grad
	-0.16890381435694457	education=Prof-school
	-0.5436533309002125	education=Assoc-acdm
	0.22051365201772444	education=Assoc-voc
	0.7528251824084147	education=9th
	-0.9250877810840596	education=7th-8th
	-0.7374784322005226	education=12th
	0.24032212530923247	education=Masters
	0.7847541233867674	education=1st-4th
	0.6617767514445207	education=10th
	-0.3416212716541338	education=Doctorate
	-0.14578372754289215	education=5th-6th
	-0.4956198568992629	education=Preschool
	-0.5460480977759594	education-num
	0.07383453525408035	marital-status=Married-civ-spouse
	0.6957230703866273	marital-status=Divorced
	0.7386582819310099	marital-status=Never-married
	0.8732685514746852	marital-status=Separated
	-0.7183021104631575	marital-status=Widowed
	-0.6332737810119582	marital-status=Married-spouse-absent
	0.0743568105817849	marital-status=Married-AF-spouse
	-0.34193659574958724	occupation=Tech-support
	0.47409586190743225	occupation=Craft-repair
	-0.09386629574737237	occupation=Other-service
	0.3307839950949609	occupation=Sales
	-0.8841564892662879	occupation=Exec-managerial
	0.8600173347982503	occupation=Prof-specialty
	0.7113049817803172	occupation=Handlers-cleaners
	-0.17683555094722148	occupation=Machine-op-inspct
	0.41074097802599074	occupation=Adm-clerical
	-0.05196263013266367	occupation=Farming-fishing
	0.7012987608568864	occupation=Transport-moving
	0.8307271279131394	occupation=Priv-house-serv
	-0.07518001015489006	occupation=Protective-serv
	-0.8217152231051319	occupation=Armed-Forces
	0.011004909946649377	relationship=Wife
	0.18356801134905054	relationship=Own-child
	-0.7677009075428138	relationship=Husband
	0.06771536742225126	relationship=Not-in-family
	-0.9947773292073034	relationship=Other-relative
	0.3823495732398994	relationship=Unmarried
	0.7257508781553363	race=White
	0.532753234925377	race=Asian-Pac-Islander
	-0.09825247522110292	race=Amer-Indian-Eskimo
	0.16489959344768468	race=Other
	0.4333416818857816	race=Black
	-0.446637112398635	sex
	-0.20747052010902034	capital-gain
	-0.06622785881719007	capital-loss
	0.06617394387462605	hours-per-week
	0.8426144116475942	native-country=United-States
	0.3519649878204687	native-country=Cambodia
	-0.041167475866655145	native-country=England
	0.8347936601406298	native-country=Puerto-Rico
	0.6858042675949227	native-country=Canada
	0.0213852744499492	native-country=Germany
	-0.23107035589003333	native-country=Outlying-US(Guam-USVI-etc)
	0.07392505220665302	native-country=India
	-0.3868056106877811	native-country=Japan
	0.9588034273738868	native-country=Greece
	-0.35328252112531566	native-country=South
	0.2144955484473423	native-country=China
	0.07043196472668356	native-country=Cuba
	-0.4570171700216168	native-country=Iran
	-0.35931148004205404	native-country=Honduras
	0.14201331269386586	native-country=Philippines
	0.7507120463364467	native-country=Italy
	-0.2791107887717159	native-country=Poland
	0.008481705696100406	native-country=Jamaica
	-0.5196402282166648	native-country=Vietnam
	0.7527463689377216	native-country=Mexico
	0.9875892136094078	native-country=Portugal
	-0.4944728720491516	native-country=Ireland
	0.8400594521795282	native-country=France
	-0.7714002671185514	native-country=Dominican-Republic
	-0.7123424453407838	native-country=Laos
	0.4330902752600698	native-country=Ecuador
	-0.4299097818975197	native-country=Taiwan
	0.685457702810746	native-country=Haiti
	-0.3728444495767562	native-country=Columbia
	-0.14022174520556052	native-country=Hungary
	-0.9477041214331456	native-country=Guatemala
	0.6053867268743627	native-country=Nicaragua
	-0.3147564617933969	native-country=Scotland
	0.9305701151192838	native-country=Thailand
	0.07746385343530071	native-country=Yugoslavia
	0.54715062008254	native-country=El-Salvador
	0.2144893560102754	native-country=Trinadad&Tobago
	0.6774345018976362	native-country=Peru
	-0.6578698509912189	native-country=Hong
	0.39414479992254225	native-country=Holand-Netherlands
Hidden Weights:
	0.6102702067132315	0.6051749442076799
		>50K		<=50K

Error sum for iteration 100 = 49.20709537380239

Error sum for iteration 200 = 46.6529968416209

Error sum for iteration 300 = 45.48411813993017

Error sum for iteration 400 = 45.27480926967142

Error sum for iteration 500 = 45.23504234892918

Error sum for iteration 600 = 45.19748126084984

Error sum for iteration 700 = 45.12421269035544

Error sum for iteration 800 = 44.99842691349071

Error sum for iteration 900 = 44.7757603557658

Error sum for iteration 1000 = 44.445861499086256

Error sum for iteration 1100 = 44.0542217613173

Error sum for iteration 1200 = 43.646238685031456

Error sum for iteration 1300 = 43.250583816287474

Error sum for iteration 1400 = 42.87277967371567

Error sum for iteration 1500 = 42.516833422643174

Error sum for iteration 1600 = 42.1839425684017

Error sum for iteration 1700 = 41.86354544964388

Error sum for iteration 1800 = 41.55383051111363

Error sum for iteration 1900 = 41.25210258970095

Error sum for iteration 2000 = 40.95548645137253

Error sum for iteration 2100 = 40.6629439143248

Error sum for iteration 2200 = 40.37572140658349

Error sum for iteration 2300 = 40.09092903547892

Error sum for iteration 2400 = 39.807115316362136

Error sum for iteration 2500 = 39.52453162575609

Error sum for iteration 2600 = 39.243642396523526

Error sum for iteration 2700 = 38.965055573255455

Error sum for iteration 2800 = 38.69064933446574

Error sum for iteration 2900 = 38.420628071428595

Error sum for iteration 3000 = 38.156578130114184

Error sum for iteration 3100 = 37.89697781460108

Error sum for iteration 3200 = 37.64193987892184

Error sum for iteration 3300 = 37.393243525789046

Error sum for iteration 3400 = 37.15067356201074

Error sum for iteration 3500 = 36.91356791084425

Error sum for iteration 3600 = 36.681216565752656

Error sum for iteration 3700 = 36.45355038816644

Error sum for iteration 3800 = 36.23053971512446

Error sum for iteration 3900 = 36.01216046457854

Error sum for iteration 4000 = 35.79840238753978

Error sum for iteration 4100 = 35.58934524397742

Error sum for iteration 4200 = 35.386804383909706

Error sum for iteration 4300 = 35.188976423678064

Error sum for iteration 4400 = 34.99521594876942

Error sum for iteration 4500 = 34.805461975890466

Error sum for iteration 4600 = 34.61971668994607

Error sum for iteration 4700 = 34.43786411443354

Error sum for iteration 4800 = 34.25984366063808

Error sum for iteration 4900 = 34.0855600436906

Error sum for iteration 5000 = 33.91494521610848

Error sum for iteration 5100 = 33.74793074275485

Error sum for iteration 5200 = 33.58444712306784

Error sum for iteration 5300 = 33.42442397427416

Error sum for iteration 5400 = 33.267790224757576

Error sum for iteration 5500 = 33.114474312558535

Error sum for iteration 5600 = 32.96443838907545

Error sum for iteration 5700 = 32.817585938836466

Error sum for iteration 5800 = 32.67398877495335

Error sum for iteration 5900 = 32.5344366745226

Error sum for iteration 6000 = 32.3978313729418

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	0.9029039541416137	age
	-0.6892086919968345	workclass=Private
	-0.9927062271272413	workclass=Self-emp-not-inc
	2.6205607306684087E-4	workclass=Self-emp-inc
	0.8446475096743951	workclass=Federal-gov
	-0.2844606759414141	workclass=Local-gov
	0.8373759309664404	workclass=State-gov
	0.9846147521377846	workclass=Without-pay
	-0.18436848993945265	workclass=Never-worked
	0.1289895484894179	fnlwgt
	-0.6726365933916276	education=Bachelors
	-0.06653969293805617	education=Some-college
	0.8246485538665651	education=11th
	-0.25468837086196316	education=HS-grad
	-0.16890381435694457	education=Prof-school
	-0.5436533309002125	education=Assoc-acdm
	0.22051365201772444	education=Assoc-voc
	0.7528251824084147	education=9th
	-0.9250877810840596	education=7th-8th
	-0.7374784322005226	education=12th
	0.24032212530923247	education=Masters
	0.7847541233867674	education=1st-4th
	0.6617767514445207	education=10th
	-0.3416212716541338	education=Doctorate
	-0.14578372754289215	education=5th-6th
	-0.4956198568992629	education=Preschool
	-0.5460480977759594	education-num
	0.07383453525408035	marital-status=Married-civ-spouse
	0.6957230703866273	marital-status=Divorced
	0.7386582819310099	marital-status=Never-married
	0.8732685514746852	marital-status=Separated
	-0.7183021104631575	marital-status=Widowed
	-0.6332737810119582	marital-status=Married-spouse-absent
	0.0743568105817849	marital-status=Married-AF-spouse
	-0.34193659574958724	occupation=Tech-support
	0.47409586190743225	occupation=Craft-repair
	-0.09386629574737237	occupation=Other-service
	0.3307839950949609	occupation=Sales
	-0.8841564892662879	occupation=Exec-managerial
	0.8600173347982503	occupation=Prof-specialty
	0.7113049817803172	occupation=Handlers-cleaners
	-0.17683555094722148	occupation=Machine-op-inspct
	0.41074097802599074	occupation=Adm-clerical
	-0.05196263013266367	occupation=Farming-fishing
	0.7012987608568864	occupation=Transport-moving
	0.8307271279131394	occupation=Priv-house-serv
	-0.07518001015489006	occupation=Protective-serv
	-0.8217152231051319	occupation=Armed-Forces
	0.011004909946649377	relationship=Wife
	0.18356801134905054	relationship=Own-child
	-0.7677009075428138	relationship=Husband
	0.06771536742225126	relationship=Not-in-family
	-0.9947773292073034	relationship=Other-relative
	0.3823495732398994	relationship=Unmarried
	0.7257508781553363	race=White
	0.532753234925377	race=Asian-Pac-Islander
	-0.09825247522110292	race=Amer-Indian-Eskimo
	0.16489959344768468	race=Other
	0.4333416818857816	race=Black
	-0.446637112398635	sex
	-0.20747052010902034	capital-gain
	-0.06622785881719007	capital-loss
	0.06617394387462605	hours-per-week
	0.8426144116475942	native-country=United-States
	0.3519649878204687	native-country=Cambodia
	-0.041167475866655145	native-country=England
	0.8347936601406298	native-country=Puerto-Rico
	0.6858042675949227	native-country=Canada
	0.0213852744499492	native-country=Germany
	-0.23107035589003333	native-country=Outlying-US(Guam-USVI-etc)
	0.07392505220665302	native-country=India
	-0.3868056106877811	native-country=Japan
	0.9588034273738868	native-country=Greece
	-0.35328252112531566	native-country=South
	0.2144955484473423	native-country=China
	0.07043196472668356	native-country=Cuba
	-0.4570171700216168	native-country=Iran
	-0.35931148004205404	native-country=Honduras
	0.14201331269386586	native-country=Philippines
	0.7507120463364467	native-country=Italy
	-0.2791107887717159	native-country=Poland
	0.008481705696100406	native-country=Jamaica
	-0.5196402282166648	native-country=Vietnam
	0.7527463689377216	native-country=Mexico
	0.9875892136094078	native-country=Portugal
	-0.4944728720491516	native-country=Ireland
	0.8400594521795282	native-country=France
	-0.7714002671185514	native-country=Dominican-Republic
	-0.7123424453407838	native-country=Laos
	0.4330902752600698	native-country=Ecuador
	-0.4299097818975197	native-country=Taiwan
	0.685457702810746	native-country=Haiti
	-0.3728444495767562	native-country=Columbia
	-0.14022174520556052	native-country=Hungary
	-0.9477041214331456	native-country=Guatemala
	0.6053867268743627	native-country=Nicaragua
	-0.3147564617933969	native-country=Scotland
	0.9305701151192838	native-country=Thailand
	0.07746385343530071	native-country=Yugoslavia
	0.54715062008254	native-country=El-Salvador
	0.2144893560102754	native-country=Trinadad&Tobago
	0.6774345018976362	native-country=Peru
	-0.6578698509912189	native-country=Hong
	0.39414479992254225	native-country=Holand-Netherlands
Hidden Weights:
	0.6102702067132315	0.6051749442076799
		>50K		<=50K

Error sum for iteration 100 = 48.404151160017776

Error sum for iteration 200 = 47.27981421330628

Error sum for iteration 300 = 46.01534874746427

Error sum for iteration 400 = 45.18423519052869

Error sum for iteration 500 = 44.76988262757749

Error sum for iteration 600 = 44.658028875578474

Error sum for iteration 700 = 44.697568137245845

Error sum for iteration 800 = 44.69577744898423

Error sum for iteration 900 = 44.563867117333174

Error sum for iteration 1000 = 44.316966858377846

Error sum for iteration 1100 = 43.99055254024849

Error sum for iteration 1200 = 43.593789343486264

Error sum for iteration 1300 = 43.13183972988216

Error sum for iteration 1400 = 42.59559325040327

Error sum for iteration 1500 = 41.98789738867584

Error sum for iteration 1600 = 41.32258015974394

Error sum for iteration 1700 = 40.62563108414487

Error sum for iteration 1800 = 39.92271546423206

Error sum for iteration 1900 = 39.23381885680258

Error sum for iteration 2000 = 38.57366935151025

Error sum for iteration 2100 = 37.95093854291463

Error sum for iteration 2200 = 37.36355184227522

Error sum for iteration 2300 = 36.810555061622686

Error sum for iteration 2400 = 36.29022605457232

Error sum for iteration 2500 = 35.80273597460624

Error sum for iteration 2600 = 35.347368615327376

Error sum for iteration 2700 = 34.92467797330048

Error sum for iteration 2800 = 34.532203856897084

Error sum for iteration 2900 = 34.16319334347383

Error sum for iteration 3000 = 33.81510056365721

Error sum for iteration 3100 = 33.48802451410619

Error sum for iteration 3200 = 33.17931308176202

Error sum for iteration 3300 = 32.88494709170171

Error sum for iteration 3400 = 32.60524465793692

Error sum for iteration 3500 = 32.338001712292126

Error sum for iteration 3600 = 32.081897319150805

Error sum for iteration 3700 = 31.83816457372758

Error sum for iteration 3800 = 31.605888709633383

Error sum for iteration 3900 = 31.382269374951182

Error sum for iteration 4000 = 31.16760464808136

Error sum for iteration 4100 = 30.961287561587245

Error sum for iteration 4200 = 30.762218720318323

Error sum for iteration 4300 = 30.569978597267383

Error sum for iteration 4400 = 30.38418159895035

Error sum for iteration 4500 = 30.204471736572966

Error sum for iteration 4600 = 30.030519023697085

Error sum for iteration 4700 = 29.862016517055817

Error sum for iteration 4800 = 29.69939717852276

Error sum for iteration 4900 = 29.5421779276288

Error sum for iteration 5000 = 29.389530590719243

Error sum for iteration 5100 = 29.24316130233345

Error sum for iteration 5200 = 29.101046058428057

Error sum for iteration 5300 = 28.96286534177832

Error sum for iteration 5400 = 28.828240306035905

Error sum for iteration 5500 = 28.697001661869344

Error sum for iteration 5600 = 28.56899138493094

Error sum for iteration 5700 = 28.44406190247274

Error sum for iteration 5800 = 28.322781137908123

Error sum for iteration 5900 = 28.204337127472105

Error sum for iteration 6000 = 28.088545783367096

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	0.9029039541416137	age
	-0.6892086919968345	workclass=Private
	-0.9927062271272413	workclass=Self-emp-not-inc
	2.6205607306684087E-4	workclass=Self-emp-inc
	0.8446475096743951	workclass=Federal-gov
	-0.2844606759414141	workclass=Local-gov
	0.8373759309664404	workclass=State-gov
	0.9846147521377846	workclass=Without-pay
	-0.18436848993945265	workclass=Never-worked
	0.1289895484894179	fnlwgt
	-0.6726365933916276	education=Bachelors
	-0.06653969293805617	education=Some-college
	0.8246485538665651	education=11th
	-0.25468837086196316	education=HS-grad
	-0.16890381435694457	education=Prof-school
	-0.5436533309002125	education=Assoc-acdm
	0.22051365201772444	education=Assoc-voc
	0.7528251824084147	education=9th
	-0.9250877810840596	education=7th-8th
	-0.7374784322005226	education=12th
	0.24032212530923247	education=Masters
	0.7847541233867674	education=1st-4th
	0.6617767514445207	education=10th
	-0.3416212716541338	education=Doctorate
	-0.14578372754289215	education=5th-6th
	-0.4956198568992629	education=Preschool
	-0.5460480977759594	education-num
	0.07383453525408035	marital-status=Married-civ-spouse
	0.6957230703866273	marital-status=Divorced
	0.7386582819310099	marital-status=Never-married
	0.8732685514746852	marital-status=Separated
	-0.7183021104631575	marital-status=Widowed
	-0.6332737810119582	marital-status=Married-spouse-absent
	0.0743568105817849	marital-status=Married-AF-spouse
	-0.34193659574958724	occupation=Tech-support
	0.47409586190743225	occupation=Craft-repair
	-0.09386629574737237	occupation=Other-service
	0.3307839950949609	occupation=Sales
	-0.8841564892662879	occupation=Exec-managerial
	0.8600173347982503	occupation=Prof-specialty
	0.7113049817803172	occupation=Handlers-cleaners
	-0.17683555094722148	occupation=Machine-op-inspct
	0.41074097802599074	occupation=Adm-clerical
	-0.05196263013266367	occupation=Farming-fishing
	0.7012987608568864	occupation=Transport-moving
	0.8307271279131394	occupation=Priv-house-serv
	-0.07518001015489006	occupation=Protective-serv
	-0.8217152231051319	occupation=Armed-Forces
	0.011004909946649377	relationship=Wife
	0.18356801134905054	relationship=Own-child
	-0.7677009075428138	relationship=Husband
	0.06771536742225126	relationship=Not-in-family
	-0.9947773292073034	relationship=Other-relative
	0.3823495732398994	relationship=Unmarried
	0.7257508781553363	race=White
	0.532753234925377	race=Asian-Pac-Islander
	-0.09825247522110292	race=Amer-Indian-Eskimo
	0.16489959344768468	race=Other
	0.4333416818857816	race=Black
	-0.446637112398635	sex
	-0.20747052010902034	capital-gain
	-0.06622785881719007	capital-loss
	0.06617394387462605	hours-per-week
	0.8426144116475942	native-country=United-States
	0.3519649878204687	native-country=Cambodia
	-0.041167475866655145	native-country=England
	0.8347936601406298	native-country=Puerto-Rico
	0.6858042675949227	native-country=Canada
	0.0213852744499492	native-country=Germany
	-0.23107035589003333	native-country=Outlying-US(Guam-USVI-etc)
	0.07392505220665302	native-country=India
	-0.3868056106877811	native-country=Japan
	0.9588034273738868	native-country=Greece
	-0.35328252112531566	native-country=South
	0.2144955484473423	native-country=China
	0.07043196472668356	native-country=Cuba
	-0.4570171700216168	native-country=Iran
	-0.35931148004205404	native-country=Honduras
	0.14201331269386586	native-country=Philippines
	0.7507120463364467	native-country=Italy
	-0.2791107887717159	native-country=Poland
	0.008481705696100406	native-country=Jamaica
	-0.5196402282166648	native-country=Vietnam
	0.7527463689377216	native-country=Mexico
	0.9875892136094078	native-country=Portugal
	-0.4944728720491516	native-country=Ireland
	0.8400594521795282	native-country=France
	-0.7714002671185514	native-country=Dominican-Republic
	-0.7123424453407838	native-country=Laos
	0.4330902752600698	native-country=Ecuador
	-0.4299097818975197	native-country=Taiwan
	0.685457702810746	native-country=Haiti
	-0.3728444495767562	native-country=Columbia
	-0.14022174520556052	native-country=Hungary
	-0.9477041214331456	native-country=Guatemala
	0.6053867268743627	native-country=Nicaragua
	-0.3147564617933969	native-country=Scotland
	0.9305701151192838	native-country=Thailand
	0.07746385343530071	native-country=Yugoslavia
	0.54715062008254	native-country=El-Salvador
	0.2144893560102754	native-country=Trinadad&Tobago
	0.6774345018976362	native-country=Peru
	-0.6578698509912189	native-country=Hong
	0.39414479992254225	native-country=Holand-Netherlands
Hidden Weights:
	0.6102702067132315	0.6051749442076799
		>50K		<=50K

Error sum for iteration 100 = 48.446425074963706

Error sum for iteration 200 = 46.40504501616153

Error sum for iteration 300 = 45.06730618174784

Error sum for iteration 400 = 43.85844042164949

Error sum for iteration 500 = 42.88189073463804

Error sum for iteration 600 = 42.260999217766745

Error sum for iteration 700 = 41.973507616575866

Error sum for iteration 800 = 42.0146130333636

Error sum for iteration 900 = 42.27579338339883

Error sum for iteration 1000 = 42.605673992538556

Error sum for iteration 1100 = 42.94069278281816

Error sum for iteration 1200 = 43.16388638845876

Error sum for iteration 1300 = 43.19504292886996

Error sum for iteration 1400 = 43.12023531751137

Error sum for iteration 1500 = 43.016302932665724

Error sum for iteration 1600 = 42.910573674689516

Error sum for iteration 1700 = 42.814820257793386

Error sum for iteration 1800 = 42.73099451469177

Error sum for iteration 1900 = 42.660113811733424

Error sum for iteration 2000 = 42.6018552867665

Error sum for iteration 2100 = 42.55438911649584

Error sum for iteration 2200 = 42.51843827023161

Error sum for iteration 2300 = 42.49546533110437

Error sum for iteration 2400 = 42.48845233410352

Error sum for iteration 2500 = 42.501026210720184

Error sum for iteration 2600 = 42.53855947579646

Error sum for iteration 2700 = 42.6087401830269

Error sum for iteration 2800 = 42.71957671352687

Error sum for iteration 2900 = 42.87345175954144

Error sum for iteration 3000 = 43.04514739280217

Error sum for iteration 3100 = 43.16091574333191

Error sum for iteration 3200 = 43.15586724540754

Error sum for iteration 3300 = 43.049718739423746

Error sum for iteration 3400 = 42.89765704324017

Error sum for iteration 3500 = 42.737321884772484

Error sum for iteration 3600 = 42.58559369878444

Error sum for iteration 3700 = 42.44725555713257

Error sum for iteration 3800 = 42.322055119408034

Error sum for iteration 3900 = 42.208689003331045

Error sum for iteration 4000 = 42.10568975502094

Error sum for iteration 4100 = 42.0125334588828

Error sum for iteration 4200 = 41.92697385963478

Error sum for iteration 4300 = 41.84795073127163

Error sum for iteration 4400 = 41.77436391256499

Error sum for iteration 4500 = 41.70508628398988

Error sum for iteration 4600 = 41.64016956556719

Error sum for iteration 4700 = 41.57886626234996

Error sum for iteration 4800 = 41.52027001062362

Error sum for iteration 4900 = 41.46409253371865

Error sum for iteration 5000 = 41.41008238593148

Error sum for iteration 5100 = 41.35793626192391

Error sum for iteration 5200 = 41.307456026775384

Error sum for iteration 5300 = 41.258472373133884

Error sum for iteration 5400 = 41.2108398073829

Error sum for iteration 5500 = 41.164432610889854

Error sum for iteration 5600 = 41.11914156861563

Error sum for iteration 5700 = 41.0748713046542

Error sum for iteration 5800 = 41.031540591612355

Error sum for iteration 5900 = 40.98913529048019

Error sum for iteration 6000 = 40.94760307325242

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	0.9029039541416137	age
	-0.6892086919968345	workclass=Private
	-0.9927062271272413	workclass=Self-emp-not-inc
	2.6205607306684087E-4	workclass=Self-emp-inc
	0.8446475096743951	workclass=Federal-gov
	-0.2844606759414141	workclass=Local-gov
	0.8373759309664404	workclass=State-gov
	0.9846147521377846	workclass=Without-pay
	-0.18436848993945265	workclass=Never-worked
	0.1289895484894179	fnlwgt
	-0.6726365933916276	education=Bachelors
	-0.06653969293805617	education=Some-college
	0.8246485538665651	education=11th
	-0.25468837086196316	education=HS-grad
	-0.16890381435694457	education=Prof-school
	-0.5436533309002125	education=Assoc-acdm
	0.22051365201772444	education=Assoc-voc
	0.7528251824084147	education=9th
	-0.9250877810840596	education=7th-8th
	-0.7374784322005226	education=12th
	0.24032212530923247	education=Masters
	0.7847541233867674	education=1st-4th
	0.6617767514445207	education=10th
	-0.3416212716541338	education=Doctorate
	-0.14578372754289215	education=5th-6th
	-0.4956198568992629	education=Preschool
	-0.5460480977759594	education-num
	0.07383453525408035	marital-status=Married-civ-spouse
	0.6957230703866273	marital-status=Divorced
	0.7386582819310099	marital-status=Never-married
	0.8732685514746852	marital-status=Separated
	-0.7183021104631575	marital-status=Widowed
	-0.6332737810119582	marital-status=Married-spouse-absent
	0.0743568105817849	marital-status=Married-AF-spouse
	-0.34193659574958724	occupation=Tech-support
	0.47409586190743225	occupation=Craft-repair
	-0.09386629574737237	occupation=Other-service
	0.3307839950949609	occupation=Sales
	-0.8841564892662879	occupation=Exec-managerial
	0.8600173347982503	occupation=Prof-specialty
	0.7113049817803172	occupation=Handlers-cleaners
	-0.17683555094722148	occupation=Machine-op-inspct
	0.41074097802599074	occupation=Adm-clerical
	-0.05196263013266367	occupation=Farming-fishing
	0.7012987608568864	occupation=Transport-moving
	0.8307271279131394	occupation=Priv-house-serv
	-0.07518001015489006	occupation=Protective-serv
	-0.8217152231051319	occupation=Armed-Forces
	0.011004909946649377	relationship=Wife
	0.18356801134905054	relationship=Own-child
	-0.7677009075428138	relationship=Husband
	0.06771536742225126	relationship=Not-in-family
	-0.9947773292073034	relationship=Other-relative
	0.3823495732398994	relationship=Unmarried
	0.7257508781553363	race=White
	0.532753234925377	race=Asian-Pac-Islander
	-0.09825247522110292	race=Amer-Indian-Eskimo
	0.16489959344768468	race=Other
	0.4333416818857816	race=Black
	-0.446637112398635	sex
	-0.20747052010902034	capital-gain
	-0.06622785881719007	capital-loss
	0.06617394387462605	hours-per-week
	0.8426144116475942	native-country=United-States
	0.3519649878204687	native-country=Cambodia
	-0.041167475866655145	native-country=England
	0.8347936601406298	native-country=Puerto-Rico
	0.6858042675949227	native-country=Canada
	0.0213852744499492	native-country=Germany
	-0.23107035589003333	native-country=Outlying-US(Guam-USVI-etc)
	0.07392505220665302	native-country=India
	-0.3868056106877811	native-country=Japan
	0.9588034273738868	native-country=Greece
	-0.35328252112531566	native-country=South
	0.2144955484473423	native-country=China
	0.07043196472668356	native-country=Cuba
	-0.4570171700216168	native-country=Iran
	-0.35931148004205404	native-country=Honduras
	0.14201331269386586	native-country=Philippines
	0.7507120463364467	native-country=Italy
	-0.2791107887717159	native-country=Poland
	0.008481705696100406	native-country=Jamaica
	-0.5196402282166648	native-country=Vietnam
	0.7527463689377216	native-country=Mexico
	0.9875892136094078	native-country=Portugal
	-0.4944728720491516	native-country=Ireland
	0.8400594521795282	native-country=France
	-0.7714002671185514	native-country=Dominican-Republic
	-0.7123424453407838	native-country=Laos
	0.4330902752600698	native-country=Ecuador
	-0.4299097818975197	native-country=Taiwan
	0.685457702810746	native-country=Haiti
	-0.3728444495767562	native-country=Columbia
	-0.14022174520556052	native-country=Hungary
	-0.9477041214331456	native-country=Guatemala
	0.6053867268743627	native-country=Nicaragua
	-0.3147564617933969	native-country=Scotland
	0.9305701151192838	native-country=Thailand
	0.07746385343530071	native-country=Yugoslavia
	0.54715062008254	native-country=El-Salvador
	0.2144893560102754	native-country=Trinadad&Tobago
	0.6774345018976362	native-country=Peru
	-0.6578698509912189	native-country=Hong
	0.39414479992254225	native-country=Holand-Netherlands
Hidden Weights:
	0.6102702067132315	0.6051749442076799
		>50K		<=50K

Error sum for iteration 100 = 49.464406943349125

Error sum for iteration 200 = 48.21815898579261

Error sum for iteration 300 = 47.81158260757051

Error sum for iteration 400 = 48.32146228622523

Error sum for iteration 500 = 48.72859404748973

Error sum for iteration 600 = 49.058116079638744

Error sum for iteration 700 = 49.31239432074801

Error sum for iteration 800 = 49.37241227668668

Error sum for iteration 900 = 49.2161141881195

Error sum for iteration 1000 = 48.87829307296092

Error sum for iteration 1100 = 48.42956079876869

Error sum for iteration 1200 = 47.94513322440658

Error sum for iteration 1300 = 47.47823237029385

Error sum for iteration 1400 = 47.039406840963274

Error sum for iteration 1500 = 46.62973721637749

Error sum for iteration 1600 = 46.24322343665024

Error sum for iteration 1700 = 45.87964699855342

Error sum for iteration 1800 = 45.53747038730161

Error sum for iteration 1900 = 45.21519590582032

Error sum for iteration 2000 = 44.91140321528647

Error sum for iteration 2100 = 44.624929202780336

Error sum for iteration 2200 = 44.354432308658396

Error sum for iteration 2300 = 44.0997806133722

Error sum for iteration 2400 = 43.86007932896991

Error sum for iteration 2500 = 43.63425182781105

Error sum for iteration 2600 = 43.42107654135351

Error sum for iteration 2700 = 43.22040883886412

Error sum for iteration 2800 = 43.03001269874988

Error sum for iteration 2900 = 42.84906630789332

Error sum for iteration 3000 = 42.67708327591373

Error sum for iteration 3100 = 42.51411327368236

Error sum for iteration 3200 = 42.35891052657884

Error sum for iteration 3300 = 42.21091948597038

Error sum for iteration 3400 = 42.06965569534956

Error sum for iteration 3500 = 41.934833639647216

Error sum for iteration 3600 = 41.80607902144841

Error sum for iteration 3700 = 41.68346691462605

Error sum for iteration 3800 = 41.56622338408734

Error sum for iteration 3900 = 41.45376371891466

Error sum for iteration 4000 = 41.34580478103466

Error sum for iteration 4100 = 41.24191840315998

Error sum for iteration 4200 = 41.14354685397239

Error sum for iteration 4300 = 41.049520654130355

Error sum for iteration 4400 = 40.96038235656611

Error sum for iteration 4500 = 40.87524058303224

Error sum for iteration 4600 = 40.79294919681631

Error sum for iteration 4700 = 40.712454636462596

Error sum for iteration 4800 = 40.63344798630201

Error sum for iteration 4900 = 40.55577525391749

Error sum for iteration 5000 = 40.47939085924994

Error sum for iteration 5100 = 40.40514219241917

Error sum for iteration 5200 = 40.33185083744785

Error sum for iteration 5300 = 40.25943700957599

Error sum for iteration 5400 = 40.187833005260885

Error sum for iteration 5500 = 40.11698084955959

Error sum for iteration 5600 = 40.046830112982136

Error sum for iteration 5700 = 39.97733597271418

Error sum for iteration 5800 = 39.9084575596945

Error sum for iteration 5900 = 39.840156603603404

Error sum for iteration 6000 = 39.77239636479626

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	2
	-M	0.01
Input Weights:
	-0.2932751314681701	-0.6892086919968345	age
	-0.9927062271272413	-0.015711693366617485	workclass=Private
	-0.8782848824906613	0.8446475096743951	workclass=Self-emp-not-inc
	-0.2844606759414141	-0.6817348140492099	workclass=Self-emp-inc
	-0.04692272442491907	0.9846147521377846	workclass=Federal-gov
	-0.18436848993945265	0.35404568170055617	workclass=Local-gov
	-0.8744697943857984	-0.6726365933916276	workclass=State-gov
	-0.06653969293805617	0.8241094605631998	workclass=Without-pay
	-0.8018297688952734	-0.25468837086196316	workclass=Never-worked
	-0.16890381435694457	-0.7372841334875018	fnlwgt
	-0.5123925957804603	0.22051365201772444	education=Bachelors
	0.7528251824084147	0.4586753403495596	education=Some-college
	0.11948680820462032	-0.7374784322005226	education=11th
	0.24032212530923247	0.09917529323197516	education=HS-grad
	0.6462006857005189	0.6617767514445207	education=Prof-school
	-0.3416212716541338	0.9795118054847176	education=Assoc-acdm
	-0.40150695734635056	-0.4956198568992629	education=Assoc-voc
	-0.5460480977759594	-0.5508521862983151	education=9th
	0.6348399728608749	0.6957230703866273	education=7th-8th
	0.7386582819310099	-0.22128294150543093	education=12th
	-0.5034070979544603	-0.7183021104631575	education=Masters
	-0.6332737810119582	-0.14043912245482204	education=1st-4th
	-0.8307045313371517	-0.34193659574958724	education=10th
	0.47409586190743225	-0.19999083299097253	education=Doctorate
	-0.8895408843051178	0.3307839950949609	education=5th-6th
	-0.8841564892662879	-0.5074556542356354	education=Preschool
	0.46930758431317954	0.7113049817803172	education-num
	-0.17683555094722148	0.7436026044365662	marital-status=Married-civ-spouse
	-0.5487883380163996	-0.05196263013266367	marital-status=Divorced
	0.7012987608568864	-0.04778598121930111	marital-status=Never-married
	0.6441235782423655	-0.07518001015489006	marital-status=Separated
	-0.8217152231051319	0.1828525532426506	marital-status=Widowed
	-0.2795716169957263	0.18356801134905054	marital-status=Married-spouse-absent
	-0.7677009075428138	0.6083977984974192	marital-status=Married-AF-spouse
	0.6681468612325152	-0.9947773292073034	occupation=Tech-support
	0.3823495732398994	-0.7736048977752752	occupation=Craft-repair
	-0.9780103071214428	0.532753234925377	occupation=Other-service
	-0.09825247522110292	-0.7800223263102457	occupation=Sales
	0.6077707593884694	0.4333416818857816	occupation=Exec-managerial
	-0.446637112398635	-0.19322267110117264	occupation=Prof-specialty
	-0.5477252183661079	-0.06622785881719007	occupation=Handlers-cleaners
	0.06617394387462605	0.5765364599401037	occupation=Machine-op-inspct
	0.8327341647144753	0.3519649878204687	occupation=Adm-clerical
	-0.041167475866655145	0.5613361148008718	occupation=Farming-fishing
	0.25224175993986075	0.6858042675949227	occupation=Transport-moving
	0.0213852744499492	-0.7694858883997258	occupation=Priv-house-serv
	-0.5448980572453885	0.07392505220665302	occupation=Protective-serv
	-0.3868056106877811	-0.4066492206549974	occupation=Armed-Forces
	0.683439526790306	-0.35328252112531566	relationship=Wife
	0.2144955484473423	-0.8169065295936873	relationship=Own-child
	0.18623925116064677	-0.4570171700216168	relationship=Husband
	-0.35931148004205404	-0.838739819488086	relationship=Not-in-family
	-0.29398326067801017	0.7507120463364467	relationship=Other-relative
	-0.2791107887717159	0.6155516989628087	relationship=Unmarried
	-0.8130868684615102	-0.5196402282166648	race=White
	0.7527463689377216	-0.4589998243104756	race=Asian-Pac-Islander
	-0.6096942695908425	-0.4944728720491516	race=Amer-Indian-Eskimo
	0.8400594521795282	-0.5761716128794636	race=Other
	-0.6920777660881428	-0.7123424453407838	race=Black
	0.4330902752600698	0.9412835449567474	sex
	0.2845781187669929	0.685457702810746	capital-gain
	-0.3728444495767562	-0.5824220680319918	capital-loss
	-0.6215802378816397	-0.9477041214331456	hours-per-week
	0.6053867268743627	-0.5760906427904922	native-country=United-States
	0.6900819690834008	0.9305701151192838	native-country=Cambodia
	0.07746385343530071	-0.4140115071510502	native-country=England
	0.8963606962090105	0.2144893560102754	native-country=Puerto-Rico
	0.6774345018976362	-0.7090448023981435	native-country=Canada
	-0.03951280688129444	0.39414479992254225	native-country=Germany
	0.5189358183528563	-0.18883378241507565	native-country=Outlying-US(Guam-USVI-etc)
	0.6102702067132315	0.6051749442076799	native-country=India
	-0.08748872087289006	0.3479707521864688	native-country=Japan
	0.5463819366160012	-0.05048426594252131	native-country=Greece
	0.5432700394878709	-0.1741018725394421	native-country=South
	-0.9462042831584829	-0.34780734142783487	native-country=China
	0.0726411360405308	-0.16294307065875668	native-country=Cuba
	0.5464762427163394	0.7741167572990868	native-country=Iran
	-0.48105689094168436	0.06612408963388994	native-country=Honduras
	0.10427053074554449	0.5774117506059475	native-country=Philippines
	0.21018720755985276	-0.3440194296703849	native-country=Italy
	0.005688098778857675	-0.627314531705613	native-country=Poland
	-0.6200236836322635	-0.6405375785447458	native-country=Jamaica
	-0.9162171347174195	0.37038645404347337	native-country=Vietnam
	0.35331338664578227	-0.2607596136755561	native-country=Mexico
	0.11629925834662957	-0.716784350655856	native-country=Portugal
	0.9721157125489632	-0.8803499526811582	native-country=Ireland
	0.8060090688259678	-0.7754849979767311	native-country=France
	-0.3624990425363299	0.17426478820797997	native-country=Dominican-Republic
	0.8318864706475808	0.8283906631568214	native-country=Laos
	0.7634928476087881	0.8827741425273947	native-country=Ecuador
	0.2943367935608967	0.959566799329884	native-country=Taiwan
	-0.8205550202122407	-0.2393111057892836	native-country=Haiti
	-0.8052521267087358	0.3318700429233439	native-country=Columbia
	-0.8102748237259205	-0.3753133120683161	native-country=Hungary
	-0.3434323378041848	0.7298333707679361	native-country=Guatemala
	0.671297318176336	-0.7070769202740039	native-country=Nicaragua
	-0.09393967021424166	0.21294254467795404	native-country=Scotland
	-0.6961949664419445	-0.6599898018854795	native-country=Thailand
	0.7987563310342116	0.030048731289127106	native-country=Yugoslavia
	0.29236312644143125	-0.14400935763483202	native-country=El-Salvador
	-0.665980455391862	-0.6953003912078857	native-country=Trinadad&Tobago
	0.7390167928403748	-0.15834221691044914	native-country=Peru
	-0.7044925490055418	-0.3383842848866967	native-country=Hong
	0.09199800946014003	-0.12812128460495287	native-country=Holand-Netherlands
Hidden Weights:
	-0.7314870786462027	0.6558060728661492
	-0.19368225926117932	0.909566023324327
		>50K		<=50K

Error sum for iteration 100 = 51.22942739077838

Error sum for iteration 200 = 49.564410881267214

Error sum for iteration 300 = 47.18116934597137

Error sum for iteration 400 = 45.86457967418837

Error sum for iteration 500 = 45.65411616295424

Error sum for iteration 600 = 45.62744967861293

Error sum for iteration 700 = 45.19532559852115

Error sum for iteration 800 = 44.694091673403335

Error sum for iteration 900 = 44.27632541096507

Error sum for iteration 1000 = 43.95467113523783

Error sum for iteration 1100 = 43.71489033963312

Error sum for iteration 1200 = 43.541448007896626

Error sum for iteration 1300 = 43.42008836556118

Error sum for iteration 1400 = 43.35190513390155

Error sum for iteration 1500 = 43.33401085517797

Error sum for iteration 1600 = 43.35984177090653

Error sum for iteration 1700 = 43.42618217872415

Error sum for iteration 1800 = 43.532070264887174

Error sum for iteration 1900 = 43.65780625044313

Error sum for iteration 2000 = 43.78976327781167

Error sum for iteration 2100 = 43.905208130816696

Error sum for iteration 2200 = 43.985258014754024

Error sum for iteration 2300 = 44.01149927725596

Error sum for iteration 2400 = 43.9810031680784

Error sum for iteration 2500 = 43.88949359289898

Error sum for iteration 2600 = 43.746751535171214

Error sum for iteration 2700 = 43.560140693277226

Error sum for iteration 2800 = 43.34370043577243

Error sum for iteration 2900 = 43.10638049177359

Error sum for iteration 3000 = 42.84925080321837

Error sum for iteration 3100 = 42.5808540370716

Error sum for iteration 3200 = 42.307717352384856

Error sum for iteration 3300 = 42.03301769440292

Error sum for iteration 3400 = 41.76487393515887

Error sum for iteration 3500 = 41.5108863860751

Error sum for iteration 3600 = 41.26638409243088

Error sum for iteration 3700 = 41.043262258054945

Error sum for iteration 3800 = 40.850980154801306

Error sum for iteration 3900 = 40.704683419686816

Error sum for iteration 4000 = 40.609217598748636

Error sum for iteration 4100 = 40.53023565743217

Error sum for iteration 4200 = 40.38064994472459

Error sum for iteration 4300 = 40.10594661036426

Error sum for iteration 4400 = 39.738919173930086

Error sum for iteration 4500 = 39.34052032642124

Error sum for iteration 4600 = 38.94087879938603

Error sum for iteration 4700 = 38.54794722280723

Error sum for iteration 4800 = 38.16471797651687

Error sum for iteration 4900 = 37.7988257122395

Error sum for iteration 5000 = 37.44286351137122

Error sum for iteration 5100 = 37.10466545850535

Error sum for iteration 5200 = 36.78679883680835

Error sum for iteration 5300 = 36.48065213941668

Error sum for iteration 5400 = 36.18501347875892

Error sum for iteration 5500 = 35.900826151788486

Error sum for iteration 5600 = 35.62264456126637

Error sum for iteration 5700 = 35.35189584128769

Error sum for iteration 5800 = 35.09030039222079

Error sum for iteration 5900 = 34.834736556842806

Error sum for iteration 6000 = 34.58592397805533

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	2
	-M	0.01
Input Weights:
	-0.2932751314681701	-0.6892086919968345	age
	-0.9927062271272413	-0.015711693366617485	workclass=Private
	-0.8782848824906613	0.8446475096743951	workclass=Self-emp-not-inc
	-0.2844606759414141	-0.6817348140492099	workclass=Self-emp-inc
	-0.04692272442491907	0.9846147521377846	workclass=Federal-gov
	-0.18436848993945265	0.35404568170055617	workclass=Local-gov
	-0.8744697943857984	-0.6726365933916276	workclass=State-gov
	-0.06653969293805617	0.8241094605631998	workclass=Without-pay
	-0.8018297688952734	-0.25468837086196316	workclass=Never-worked
	-0.16890381435694457	-0.7372841334875018	fnlwgt
	-0.5123925957804603	0.22051365201772444	education=Bachelors
	0.7528251824084147	0.4586753403495596	education=Some-college
	0.11948680820462032	-0.7374784322005226	education=11th
	0.24032212530923247	0.09917529323197516	education=HS-grad
	0.6462006857005189	0.6617767514445207	education=Prof-school
	-0.3416212716541338	0.9795118054847176	education=Assoc-acdm
	-0.40150695734635056	-0.4956198568992629	education=Assoc-voc
	-0.5460480977759594	-0.5508521862983151	education=9th
	0.6348399728608749	0.6957230703866273	education=7th-8th
	0.7386582819310099	-0.22128294150543093	education=12th
	-0.5034070979544603	-0.7183021104631575	education=Masters
	-0.6332737810119582	-0.14043912245482204	education=1st-4th
	-0.8307045313371517	-0.34193659574958724	education=10th
	0.47409586190743225	-0.19999083299097253	education=Doctorate
	-0.8895408843051178	0.3307839950949609	education=5th-6th
	-0.8841564892662879	-0.5074556542356354	education=Preschool
	0.46930758431317954	0.7113049817803172	education-num
	-0.17683555094722148	0.7436026044365662	marital-status=Married-civ-spouse
	-0.5487883380163996	-0.05196263013266367	marital-status=Divorced
	0.7012987608568864	-0.04778598121930111	marital-status=Never-married
	0.6441235782423655	-0.07518001015489006	marital-status=Separated
	-0.8217152231051319	0.1828525532426506	marital-status=Widowed
	-0.2795716169957263	0.18356801134905054	marital-status=Married-spouse-absent
	-0.7677009075428138	0.6083977984974192	marital-status=Married-AF-spouse
	0.6681468612325152	-0.9947773292073034	occupation=Tech-support
	0.3823495732398994	-0.7736048977752752	occupation=Craft-repair
	-0.9780103071214428	0.532753234925377	occupation=Other-service
	-0.09825247522110292	-0.7800223263102457	occupation=Sales
	0.6077707593884694	0.4333416818857816	occupation=Exec-managerial
	-0.446637112398635	-0.19322267110117264	occupation=Prof-specialty
	-0.5477252183661079	-0.06622785881719007	occupation=Handlers-cleaners
	0.06617394387462605	0.5765364599401037	occupation=Machine-op-inspct
	0.8327341647144753	0.3519649878204687	occupation=Adm-clerical
	-0.041167475866655145	0.5613361148008718	occupation=Farming-fishing
	0.25224175993986075	0.6858042675949227	occupation=Transport-moving
	0.0213852744499492	-0.7694858883997258	occupation=Priv-house-serv
	-0.5448980572453885	0.07392505220665302	occupation=Protective-serv
	-0.3868056106877811	-0.4066492206549974	occupation=Armed-Forces
	0.683439526790306	-0.35328252112531566	relationship=Wife
	0.2144955484473423	-0.8169065295936873	relationship=Own-child
	0.18623925116064677	-0.4570171700216168	relationship=Husband
	-0.35931148004205404	-0.838739819488086	relationship=Not-in-family
	-0.29398326067801017	0.7507120463364467	relationship=Other-relative
	-0.2791107887717159	0.6155516989628087	relationship=Unmarried
	-0.8130868684615102	-0.5196402282166648	race=White
	0.7527463689377216	-0.4589998243104756	race=Asian-Pac-Islander
	-0.6096942695908425	-0.4944728720491516	race=Amer-Indian-Eskimo
	0.8400594521795282	-0.5761716128794636	race=Other
	-0.6920777660881428	-0.7123424453407838	race=Black
	0.4330902752600698	0.9412835449567474	sex
	0.2845781187669929	0.685457702810746	capital-gain
	-0.3728444495767562	-0.5824220680319918	capital-loss
	-0.6215802378816397	-0.9477041214331456	hours-per-week
	0.6053867268743627	-0.5760906427904922	native-country=United-States
	0.6900819690834008	0.9305701151192838	native-country=Cambodia
	0.07746385343530071	-0.4140115071510502	native-country=England
	0.8963606962090105	0.2144893560102754	native-country=Puerto-Rico
	0.6774345018976362	-0.7090448023981435	native-country=Canada
	-0.03951280688129444	0.39414479992254225	native-country=Germany
	0.5189358183528563	-0.18883378241507565	native-country=Outlying-US(Guam-USVI-etc)
	0.6102702067132315	0.6051749442076799	native-country=India
	-0.08748872087289006	0.3479707521864688	native-country=Japan
	0.5463819366160012	-0.05048426594252131	native-country=Greece
	0.5432700394878709	-0.1741018725394421	native-country=South
	-0.9462042831584829	-0.34780734142783487	native-country=China
	0.0726411360405308	-0.16294307065875668	native-country=Cuba
	0.5464762427163394	0.7741167572990868	native-country=Iran
	-0.48105689094168436	0.06612408963388994	native-country=Honduras
	0.10427053074554449	0.5774117506059475	native-country=Philippines
	0.21018720755985276	-0.3440194296703849	native-country=Italy
	0.005688098778857675	-0.627314531705613	native-country=Poland
	-0.6200236836322635	-0.6405375785447458	native-country=Jamaica
	-0.9162171347174195	0.37038645404347337	native-country=Vietnam
	0.35331338664578227	-0.2607596136755561	native-country=Mexico
	0.11629925834662957	-0.716784350655856	native-country=Portugal
	0.9721157125489632	-0.8803499526811582	native-country=Ireland
	0.8060090688259678	-0.7754849979767311	native-country=France
	-0.3624990425363299	0.17426478820797997	native-country=Dominican-Republic
	0.8318864706475808	0.8283906631568214	native-country=Laos
	0.7634928476087881	0.8827741425273947	native-country=Ecuador
	0.2943367935608967	0.959566799329884	native-country=Taiwan
	-0.8205550202122407	-0.2393111057892836	native-country=Haiti
	-0.8052521267087358	0.3318700429233439	native-country=Columbia
	-0.8102748237259205	-0.3753133120683161	native-country=Hungary
	-0.3434323378041848	0.7298333707679361	native-country=Guatemala
	0.671297318176336	-0.7070769202740039	native-country=Nicaragua
	-0.09393967021424166	0.21294254467795404	native-country=Scotland
	-0.6961949664419445	-0.6599898018854795	native-country=Thailand
	0.7987563310342116	0.030048731289127106	native-country=Yugoslavia
	0.29236312644143125	-0.14400935763483202	native-country=El-Salvador
	-0.665980455391862	-0.6953003912078857	native-country=Trinadad&Tobago
	0.7390167928403748	-0.15834221691044914	native-country=Peru
	-0.7044925490055418	-0.3383842848866967	native-country=Hong
	0.09199800946014003	-0.12812128460495287	native-country=Holand-Netherlands
Hidden Weights:
	-0.7314870786462027	0.6558060728661492
	-0.19368225926117932	0.909566023324327
		>50K		<=50K

Error sum for iteration 100 = 50.52453901537904

Error sum for iteration 200 = 50.28629944497656

Error sum for iteration 300 = 50.05684180754131

Error sum for iteration 400 = 48.759432745595916

Error sum for iteration 500 = 47.452653113419444

Error sum for iteration 600 = 46.477704482878906

Error sum for iteration 700 = 45.84130817108534

Error sum for iteration 800 = 45.45849731444189

Error sum for iteration 900 = 45.243185931959665

Error sum for iteration 1000 = 45.179465207572

Error sum for iteration 1100 = 45.28425913561964

Error sum for iteration 1200 = 45.50986576329158

Error sum for iteration 1300 = 45.754956441404296

Error sum for iteration 1400 = 46.02168621284118

Error sum for iteration 1500 = 46.32427242430498

Error sum for iteration 1600 = 46.5756071987544

Error sum for iteration 1700 = 46.671000943204994

Error sum for iteration 1800 = 46.624600828913515

Error sum for iteration 1900 = 46.472992180395586

Error sum for iteration 2000 = 46.21960869469002

Error sum for iteration 2100 = 45.86281102149187

Error sum for iteration 2200 = 45.38681440561589

Error sum for iteration 2300 = 44.72459868295112

Error sum for iteration 2400 = 43.864630465244275

Error sum for iteration 2500 = 42.927053515318576

Error sum for iteration 2600 = 41.922180692403465

Error sum for iteration 2700 = 40.78687614419072

Error sum for iteration 2800 = 39.641745137019235

Error sum for iteration 2900 = 38.59010280982805

Error sum for iteration 3000 = 37.652499515268595

Error sum for iteration 3100 = 36.81813741324134

Error sum for iteration 3200 = 36.07133681306936

Error sum for iteration 3300 = 35.40580560326571

Error sum for iteration 3400 = 34.80173372825128

Error sum for iteration 3500 = 34.2519359192474

Error sum for iteration 3600 = 33.745273685065584

Error sum for iteration 3700 = 33.27303124901072

Error sum for iteration 3800 = 32.84014364532472

Error sum for iteration 3900 = 32.431585746023366

Error sum for iteration 4000 = 32.04306579721042

Error sum for iteration 4100 = 31.676338986606805

Error sum for iteration 4200 = 31.326109671680303

Error sum for iteration 4300 = 30.98819047534636

Error sum for iteration 4400 = 30.664526280386053

Error sum for iteration 4500 = 30.346140239534662

Error sum for iteration 4600 = 30.031475708943017

Error sum for iteration 4700 = 29.720131145253603

Error sum for iteration 4800 = 29.413510325503452

Error sum for iteration 4900 = 29.111313870212765

Error sum for iteration 5000 = 28.817414223769756

Error sum for iteration 5100 = 28.53594535321072

Error sum for iteration 5200 = 28.268427422246425

Error sum for iteration 5300 = 28.01443004407377

Error sum for iteration 5400 = 27.77793879199448

Error sum for iteration 5500 = 27.55880419611867

Error sum for iteration 5600 = 27.354145826053884

Error sum for iteration 5700 = 27.16166795414727

Error sum for iteration 5800 = 26.979103573468592

Error sum for iteration 5900 = 26.807123599922303

Error sum for iteration 6000 = 26.64388861552415

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	2
	-M	0.01
Input Weights:
	-0.2932751314681701	-0.6892086919968345	age
	-0.9927062271272413	-0.015711693366617485	workclass=Private
	-0.8782848824906613	0.8446475096743951	workclass=Self-emp-not-inc
	-0.2844606759414141	-0.6817348140492099	workclass=Self-emp-inc
	-0.04692272442491907	0.9846147521377846	workclass=Federal-gov
	-0.18436848993945265	0.35404568170055617	workclass=Local-gov
	-0.8744697943857984	-0.6726365933916276	workclass=State-gov
	-0.06653969293805617	0.8241094605631998	workclass=Without-pay
	-0.8018297688952734	-0.25468837086196316	workclass=Never-worked
	-0.16890381435694457	-0.7372841334875018	fnlwgt
	-0.5123925957804603	0.22051365201772444	education=Bachelors
	0.7528251824084147	0.4586753403495596	education=Some-college
	0.11948680820462032	-0.7374784322005226	education=11th
	0.24032212530923247	0.09917529323197516	education=HS-grad
	0.6462006857005189	0.6617767514445207	education=Prof-school
	-0.3416212716541338	0.9795118054847176	education=Assoc-acdm
	-0.40150695734635056	-0.4956198568992629	education=Assoc-voc
	-0.5460480977759594	-0.5508521862983151	education=9th
	0.6348399728608749	0.6957230703866273	education=7th-8th
	0.7386582819310099	-0.22128294150543093	education=12th
	-0.5034070979544603	-0.7183021104631575	education=Masters
	-0.6332737810119582	-0.14043912245482204	education=1st-4th
	-0.8307045313371517	-0.34193659574958724	education=10th
	0.47409586190743225	-0.19999083299097253	education=Doctorate
	-0.8895408843051178	0.3307839950949609	education=5th-6th
	-0.8841564892662879	-0.5074556542356354	education=Preschool
	0.46930758431317954	0.7113049817803172	education-num
	-0.17683555094722148	0.7436026044365662	marital-status=Married-civ-spouse
	-0.5487883380163996	-0.05196263013266367	marital-status=Divorced
	0.7012987608568864	-0.04778598121930111	marital-status=Never-married
	0.6441235782423655	-0.07518001015489006	marital-status=Separated
	-0.8217152231051319	0.1828525532426506	marital-status=Widowed
	-0.2795716169957263	0.18356801134905054	marital-status=Married-spouse-absent
	-0.7677009075428138	0.6083977984974192	marital-status=Married-AF-spouse
	0.6681468612325152	-0.9947773292073034	occupation=Tech-support
	0.3823495732398994	-0.7736048977752752	occupation=Craft-repair
	-0.9780103071214428	0.532753234925377	occupation=Other-service
	-0.09825247522110292	-0.7800223263102457	occupation=Sales
	0.6077707593884694	0.4333416818857816	occupation=Exec-managerial
	-0.446637112398635	-0.19322267110117264	occupation=Prof-specialty
	-0.5477252183661079	-0.06622785881719007	occupation=Handlers-cleaners
	0.06617394387462605	0.5765364599401037	occupation=Machine-op-inspct
	0.8327341647144753	0.3519649878204687	occupation=Adm-clerical
	-0.041167475866655145	0.5613361148008718	occupation=Farming-fishing
	0.25224175993986075	0.6858042675949227	occupation=Transport-moving
	0.0213852744499492	-0.7694858883997258	occupation=Priv-house-serv
	-0.5448980572453885	0.07392505220665302	occupation=Protective-serv
	-0.3868056106877811	-0.4066492206549974	occupation=Armed-Forces
	0.683439526790306	-0.35328252112531566	relationship=Wife
	0.2144955484473423	-0.8169065295936873	relationship=Own-child
	0.18623925116064677	-0.4570171700216168	relationship=Husband
	-0.35931148004205404	-0.838739819488086	relationship=Not-in-family
	-0.29398326067801017	0.7507120463364467	relationship=Other-relative
	-0.2791107887717159	0.6155516989628087	relationship=Unmarried
	-0.8130868684615102	-0.5196402282166648	race=White
	0.7527463689377216	-0.4589998243104756	race=Asian-Pac-Islander
	-0.6096942695908425	-0.4944728720491516	race=Amer-Indian-Eskimo
	0.8400594521795282	-0.5761716128794636	race=Other
	-0.6920777660881428	-0.7123424453407838	race=Black
	0.4330902752600698	0.9412835449567474	sex
	0.2845781187669929	0.685457702810746	capital-gain
	-0.3728444495767562	-0.5824220680319918	capital-loss
	-0.6215802378816397	-0.9477041214331456	hours-per-week
	0.6053867268743627	-0.5760906427904922	native-country=United-States
	0.6900819690834008	0.9305701151192838	native-country=Cambodia
	0.07746385343530071	-0.4140115071510502	native-country=England
	0.8963606962090105	0.2144893560102754	native-country=Puerto-Rico
	0.6774345018976362	-0.7090448023981435	native-country=Canada
	-0.03951280688129444	0.39414479992254225	native-country=Germany
	0.5189358183528563	-0.18883378241507565	native-country=Outlying-US(Guam-USVI-etc)
	0.6102702067132315	0.6051749442076799	native-country=India
	-0.08748872087289006	0.3479707521864688	native-country=Japan
	0.5463819366160012	-0.05048426594252131	native-country=Greece
	0.5432700394878709	-0.1741018725394421	native-country=South
	-0.9462042831584829	-0.34780734142783487	native-country=China
	0.0726411360405308	-0.16294307065875668	native-country=Cuba
	0.5464762427163394	0.7741167572990868	native-country=Iran
	-0.48105689094168436	0.06612408963388994	native-country=Honduras
	0.10427053074554449	0.5774117506059475	native-country=Philippines
	0.21018720755985276	-0.3440194296703849	native-country=Italy
	0.005688098778857675	-0.627314531705613	native-country=Poland
	-0.6200236836322635	-0.6405375785447458	native-country=Jamaica
	-0.9162171347174195	0.37038645404347337	native-country=Vietnam
	0.35331338664578227	-0.2607596136755561	native-country=Mexico
	0.11629925834662957	-0.716784350655856	native-country=Portugal
	0.9721157125489632	-0.8803499526811582	native-country=Ireland
	0.8060090688259678	-0.7754849979767311	native-country=France
	-0.3624990425363299	0.17426478820797997	native-country=Dominican-Republic
	0.8318864706475808	0.8283906631568214	native-country=Laos
	0.7634928476087881	0.8827741425273947	native-country=Ecuador
	0.2943367935608967	0.959566799329884	native-country=Taiwan
	-0.8205550202122407	-0.2393111057892836	native-country=Haiti
	-0.8052521267087358	0.3318700429233439	native-country=Columbia
	-0.8102748237259205	-0.3753133120683161	native-country=Hungary
	-0.3434323378041848	0.7298333707679361	native-country=Guatemala
	0.671297318176336	-0.7070769202740039	native-country=Nicaragua
	-0.09393967021424166	0.21294254467795404	native-country=Scotland
	-0.6961949664419445	-0.6599898018854795	native-country=Thailand
	0.7987563310342116	0.030048731289127106	native-country=Yugoslavia
	0.29236312644143125	-0.14400935763483202	native-country=El-Salvador
	-0.665980455391862	-0.6953003912078857	native-country=Trinadad&Tobago
	0.7390167928403748	-0.15834221691044914	native-country=Peru
	-0.7044925490055418	-0.3383842848866967	native-country=Hong
	0.09199800946014003	-0.12812128460495287	native-country=Holand-Netherlands
Hidden Weights:
	-0.7314870786462027	0.6558060728661492
	-0.19368225926117932	0.909566023324327
		>50K		<=50K

Error sum for iteration 100 = 50.29685386457249

Error sum for iteration 200 = 48.648471266883305

Error sum for iteration 300 = 47.12710456557292

Error sum for iteration 400 = 45.61968156073441

Error sum for iteration 500 = 44.4107082397733

Error sum for iteration 600 = 43.69706118161021

Error sum for iteration 700 = 43.35286837530895

Error sum for iteration 800 = 43.26301947535852

Error sum for iteration 900 = 43.35619588727439

Error sum for iteration 1000 = 43.53523352373151

Error sum for iteration 1100 = 43.71350839086321

Error sum for iteration 1200 = 43.87914964968156

Error sum for iteration 1300 = 44.016802682141076

Error sum for iteration 1400 = 44.07104248118574

Error sum for iteration 1500 = 43.994680380136295

Error sum for iteration 1600 = 43.830582084756216

Error sum for iteration 1700 = 43.62915157406057

Error sum for iteration 1800 = 43.42710157273459

Error sum for iteration 1900 = 43.24050982136059

Error sum for iteration 2000 = 43.065003441692596

Error sum for iteration 2100 = 42.90031190820423

Error sum for iteration 2200 = 42.74496988397918

Error sum for iteration 2300 = 42.597766915887036

Error sum for iteration 2400 = 42.458578716720424

Error sum for iteration 2500 = 42.32738000046709

Error sum for iteration 2600 = 42.20458901121049

Error sum for iteration 2700 = 42.09060786455928

Error sum for iteration 2800 = 41.985374255951996

Error sum for iteration 2900 = 41.88903999941686

Error sum for iteration 3000 = 41.80349404165155

Error sum for iteration 3100 = 41.72782843570256

Error sum for iteration 3200 = 41.661706173779855

Error sum for iteration 3300 = 41.605701071662

Error sum for iteration 3400 = 41.56090009126499

Error sum for iteration 3500 = 41.528995982642705

Error sum for iteration 3600 = 41.51220088124794

Error sum for iteration 3700 = 41.51328196959041

Error sum for iteration 3800 = 41.53556918518015

Error sum for iteration 3900 = 41.58319034673281

Error sum for iteration 4000 = 41.65968662029761

Error sum for iteration 4100 = 41.76775471034292

Error sum for iteration 4200 = 41.90690224951073

Error sum for iteration 4300 = 42.07297348413091

Error sum for iteration 4400 = 42.257255012452745

Error sum for iteration 4500 = 42.44859931550244

Error sum for iteration 4600 = 42.63667744388438

Error sum for iteration 4700 = 42.81352308528673

Error sum for iteration 4800 = 42.97598086264749

Error sum for iteration 4900 = 43.124223412999285

Error sum for iteration 5000 = 43.260271183883155

Error sum for iteration 5100 = 43.386919962279336

Error sum for iteration 5200 = 43.50745373887835

Error sum for iteration 5300 = 43.624268213344784

Error sum for iteration 5400 = 43.7377775121021

Error sum for iteration 5500 = 43.846508879913024

Error sum for iteration 5600 = 43.94961723757019

Error sum for iteration 5700 = 44.049315170540716

Error sum for iteration 5800 = 44.1463812521001

Error sum for iteration 5900 = 44.23689707847864

Error sum for iteration 6000 = 44.31944173827278

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	2
	-M	0.01
Input Weights:
	-0.2932751314681701	-0.6892086919968345	age
	-0.9927062271272413	-0.015711693366617485	workclass=Private
	-0.8782848824906613	0.8446475096743951	workclass=Self-emp-not-inc
	-0.2844606759414141	-0.6817348140492099	workclass=Self-emp-inc
	-0.04692272442491907	0.9846147521377846	workclass=Federal-gov
	-0.18436848993945265	0.35404568170055617	workclass=Local-gov
	-0.8744697943857984	-0.6726365933916276	workclass=State-gov
	-0.06653969293805617	0.8241094605631998	workclass=Without-pay
	-0.8018297688952734	-0.25468837086196316	workclass=Never-worked
	-0.16890381435694457	-0.7372841334875018	fnlwgt
	-0.5123925957804603	0.22051365201772444	education=Bachelors
	0.7528251824084147	0.4586753403495596	education=Some-college
	0.11948680820462032	-0.7374784322005226	education=11th
	0.24032212530923247	0.09917529323197516	education=HS-grad
	0.6462006857005189	0.6617767514445207	education=Prof-school
	-0.3416212716541338	0.9795118054847176	education=Assoc-acdm
	-0.40150695734635056	-0.4956198568992629	education=Assoc-voc
	-0.5460480977759594	-0.5508521862983151	education=9th
	0.6348399728608749	0.6957230703866273	education=7th-8th
	0.7386582819310099	-0.22128294150543093	education=12th
	-0.5034070979544603	-0.7183021104631575	education=Masters
	-0.6332737810119582	-0.14043912245482204	education=1st-4th
	-0.8307045313371517	-0.34193659574958724	education=10th
	0.47409586190743225	-0.19999083299097253	education=Doctorate
	-0.8895408843051178	0.3307839950949609	education=5th-6th
	-0.8841564892662879	-0.5074556542356354	education=Preschool
	0.46930758431317954	0.7113049817803172	education-num
	-0.17683555094722148	0.7436026044365662	marital-status=Married-civ-spouse
	-0.5487883380163996	-0.05196263013266367	marital-status=Divorced
	0.7012987608568864	-0.04778598121930111	marital-status=Never-married
	0.6441235782423655	-0.07518001015489006	marital-status=Separated
	-0.8217152231051319	0.1828525532426506	marital-status=Widowed
	-0.2795716169957263	0.18356801134905054	marital-status=Married-spouse-absent
	-0.7677009075428138	0.6083977984974192	marital-status=Married-AF-spouse
	0.6681468612325152	-0.9947773292073034	occupation=Tech-support
	0.3823495732398994	-0.7736048977752752	occupation=Craft-repair
	-0.9780103071214428	0.532753234925377	occupation=Other-service
	-0.09825247522110292	-0.7800223263102457	occupation=Sales
	0.6077707593884694	0.4333416818857816	occupation=Exec-managerial
	-0.446637112398635	-0.19322267110117264	occupation=Prof-specialty
	-0.5477252183661079	-0.06622785881719007	occupation=Handlers-cleaners
	0.06617394387462605	0.5765364599401037	occupation=Machine-op-inspct
	0.8327341647144753	0.3519649878204687	occupation=Adm-clerical
	-0.041167475866655145	0.5613361148008718	occupation=Farming-fishing
	0.25224175993986075	0.6858042675949227	occupation=Transport-moving
	0.0213852744499492	-0.7694858883997258	occupation=Priv-house-serv
	-0.5448980572453885	0.07392505220665302	occupation=Protective-serv
	-0.3868056106877811	-0.4066492206549974	occupation=Armed-Forces
	0.683439526790306	-0.35328252112531566	relationship=Wife
	0.2144955484473423	-0.8169065295936873	relationship=Own-child
	0.18623925116064677	-0.4570171700216168	relationship=Husband
	-0.35931148004205404	-0.838739819488086	relationship=Not-in-family
	-0.29398326067801017	0.7507120463364467	relationship=Other-relative
	-0.2791107887717159	0.6155516989628087	relationship=Unmarried
	-0.8130868684615102	-0.5196402282166648	race=White
	0.7527463689377216	-0.4589998243104756	race=Asian-Pac-Islander
	-0.6096942695908425	-0.4944728720491516	race=Amer-Indian-Eskimo
	0.8400594521795282	-0.5761716128794636	race=Other
	-0.6920777660881428	-0.7123424453407838	race=Black
	0.4330902752600698	0.9412835449567474	sex
	0.2845781187669929	0.685457702810746	capital-gain
	-0.3728444495767562	-0.5824220680319918	capital-loss
	-0.6215802378816397	-0.9477041214331456	hours-per-week
	0.6053867268743627	-0.5760906427904922	native-country=United-States
	0.6900819690834008	0.9305701151192838	native-country=Cambodia
	0.07746385343530071	-0.4140115071510502	native-country=England
	0.8963606962090105	0.2144893560102754	native-country=Puerto-Rico
	0.6774345018976362	-0.7090448023981435	native-country=Canada
	-0.03951280688129444	0.39414479992254225	native-country=Germany
	0.5189358183528563	-0.18883378241507565	native-country=Outlying-US(Guam-USVI-etc)
	0.6102702067132315	0.6051749442076799	native-country=India
	-0.08748872087289006	0.3479707521864688	native-country=Japan
	0.5463819366160012	-0.05048426594252131	native-country=Greece
	0.5432700394878709	-0.1741018725394421	native-country=South
	-0.9462042831584829	-0.34780734142783487	native-country=China
	0.0726411360405308	-0.16294307065875668	native-country=Cuba
	0.5464762427163394	0.7741167572990868	native-country=Iran
	-0.48105689094168436	0.06612408963388994	native-country=Honduras
	0.10427053074554449	0.5774117506059475	native-country=Philippines
	0.21018720755985276	-0.3440194296703849	native-country=Italy
	0.005688098778857675	-0.627314531705613	native-country=Poland
	-0.6200236836322635	-0.6405375785447458	native-country=Jamaica
	-0.9162171347174195	0.37038645404347337	native-country=Vietnam
	0.35331338664578227	-0.2607596136755561	native-country=Mexico
	0.11629925834662957	-0.716784350655856	native-country=Portugal
	0.9721157125489632	-0.8803499526811582	native-country=Ireland
	0.8060090688259678	-0.7754849979767311	native-country=France
	-0.3624990425363299	0.17426478820797997	native-country=Dominican-Republic
	0.8318864706475808	0.8283906631568214	native-country=Laos
	0.7634928476087881	0.8827741425273947	native-country=Ecuador
	0.2943367935608967	0.959566799329884	native-country=Taiwan
	-0.8205550202122407	-0.2393111057892836	native-country=Haiti
	-0.8052521267087358	0.3318700429233439	native-country=Columbia
	-0.8102748237259205	-0.3753133120683161	native-country=Hungary
	-0.3434323378041848	0.7298333707679361	native-country=Guatemala
	0.671297318176336	-0.7070769202740039	native-country=Nicaragua
	-0.09393967021424166	0.21294254467795404	native-country=Scotland
	-0.6961949664419445	-0.6599898018854795	native-country=Thailand
	0.7987563310342116	0.030048731289127106	native-country=Yugoslavia
	0.29236312644143125	-0.14400935763483202	native-country=El-Salvador
	-0.665980455391862	-0.6953003912078857	native-country=Trinadad&Tobago
	0.7390167928403748	-0.15834221691044914	native-country=Peru
	-0.7044925490055418	-0.3383842848866967	native-country=Hong
	0.09199800946014003	-0.12812128460495287	native-country=Holand-Netherlands
Hidden Weights:
	-0.7314870786462027	0.6558060728661492
	-0.19368225926117932	0.909566023324327
		>50K		<=50K

Error sum for iteration 100 = 51.092314512536426

Error sum for iteration 200 = 50.120604305812165

Error sum for iteration 300 = 49.55045543369734

Error sum for iteration 400 = 49.10606957494924

Error sum for iteration 500 = 48.96064856435398

Error sum for iteration 600 = 48.837204586666

Error sum for iteration 700 = 48.71328155093318

Error sum for iteration 800 = 48.621256431381376

Error sum for iteration 900 = 48.55520966350616

Error sum for iteration 1000 = 48.47395504718069

Error sum for iteration 1100 = 48.31180704409509

Error sum for iteration 1200 = 48.05066084076692

Error sum for iteration 1300 = 47.74313780363822

Error sum for iteration 1400 = 47.44159338185427

Error sum for iteration 1500 = 47.184399737618456

Error sum for iteration 1600 = 46.98032123556387

Error sum for iteration 1700 = 46.830587667079335

Error sum for iteration 1800 = 46.73596096841907

Error sum for iteration 1900 = 46.68808833803795

Error sum for iteration 2000 = 46.68410777570458

Error sum for iteration 2100 = 46.723566848552366

Error sum for iteration 2200 = 46.80720981299724

Error sum for iteration 2300 = 46.93852009708673

Error sum for iteration 2400 = 47.11880838057741

Error sum for iteration 2500 = 47.34505082842486

Error sum for iteration 2600 = 47.60726034189968

Error sum for iteration 2700 = 47.871287650258694

Error sum for iteration 2800 = 48.11536509181586

Error sum for iteration 2900 = 48.32217731991823

Error sum for iteration 3000 = 48.48551796053954

Error sum for iteration 3100 = 48.59443310549345

Error sum for iteration 3200 = 48.61485320979657

Error sum for iteration 3300 = 48.504151385853234

Error sum for iteration 3400 = 48.205283697054156

Error sum for iteration 3500 = 47.68356297441647

Error sum for iteration 3600 = 46.96968955913798

Error sum for iteration 3700 = 46.11792647707428

Error sum for iteration 3800 = 45.218504732001456

Error sum for iteration 3900 = 44.33936187634278

Error sum for iteration 4000 = 43.52208071703379

Error sum for iteration 4100 = 42.77786478391242

Error sum for iteration 4200 = 42.120018384720204

Error sum for iteration 4300 = 41.54072570076834

Error sum for iteration 4400 = 41.01727136044562

Error sum for iteration 4500 = 40.54031461621605

Error sum for iteration 4600 = 40.097714885720656

Error sum for iteration 4700 = 39.68950824937856

Error sum for iteration 4800 = 39.311858191064594

Error sum for iteration 4900 = 38.96166339384984

Error sum for iteration 5000 = 38.63072329545874

Error sum for iteration 5100 = 38.3214505242754

Error sum for iteration 5200 = 38.040757851281704

Error sum for iteration 5300 = 37.788970806570234

Error sum for iteration 5400 = 37.57570580095502

Error sum for iteration 5500 = 37.40526901038123

Error sum for iteration 5600 = 37.26475685914359

Error sum for iteration 5700 = 37.10094657573298

Error sum for iteration 5800 = 36.860344744289996

Error sum for iteration 5900 = 36.543824126171025

Error sum for iteration 6000 = 36.17278146159207

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	3
	-M	0.01
Input Weights:
	-0.6892086919968345	-0.7715859192900987	-0.9927062271272413	age
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	workclass=Private
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	workclass=Self-emp-not-inc
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Federal-gov
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Local-gov
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=State-gov
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Without-pay
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Never-worked
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	fnlwgt
	0.7847541233867674	0.6462006857005189	0.6617767514445207	education=Bachelors
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	education=Some-college
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	education=11th
	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=HS-grad
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	education=Prof-school
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	education=Assoc-acdm
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Assoc-voc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	education=9th
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=7th-8th
	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=12th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	education=Masters
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	education=1st-4th
	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=10th
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=Doctorate
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=5th-6th
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Preschool
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education-num
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	marital-status=Married-civ-spouse
	0.16489959344768468	0.6077707593884694	0.4333416818857816	marital-status=Divorced
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	marital-status=Never-married
	-0.06622785881719007	0.7705863787543941	0.06617394387462605	marital-status=Separated
	0.8426144116475942	0.8327341647144753	0.3519649878204687	marital-status=Widowed
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	marital-status=Married-spouse-absent
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	marital-status=Married-AF-spouse
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	occupation=Tech-support
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	occupation=Craft-repair
	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	occupation=Other-service
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	occupation=Sales
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	occupation=Exec-managerial
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	occupation=Prof-specialty
	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	occupation=Handlers-cleaners
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	occupation=Machine-op-inspct
	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	occupation=Adm-clerical
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Farming-fishing
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	occupation=Transport-moving
	0.685457702810746	0.38761061595639634	-0.3728444495767562	occupation=Priv-house-serv
	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	occupation=Protective-serv
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	occupation=Armed-Forces
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	relationship=Wife
	0.54715062008254	0.8963606962090105	0.2144893560102754	relationship=Own-child
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	relationship=Husband
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	relationship=Not-in-family
	-0.7544036635997344	0.6102702067132315	0.6051749442076799	relationship=Other-relative
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	relationship=Unmarried
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	race=White
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	race=Asian-Pac-Islander
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	race=Amer-Indian-Eskimo
	0.7741167572990868	0.7027442042241694	-0.48105689094168436	race=Other
	0.8249994687760931	0.10427053074554449	0.5774117506059475	race=Black
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	sex
	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	capital-gain
	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	capital-loss
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	hours-per-week
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	native-country=United-States
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	native-country=Cambodia
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	native-country=England
	0.8283906631568214	-0.5773081979035071	0.7634928476087881	native-country=Puerto-Rico
	0.5595325042991308	0.2943367935608967	0.959566799329884	native-country=Canada
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	native-country=Germany
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	native-country=Outlying-US(Guam-USVI-etc)
	0.7342874215733786	-0.3434323378041848	0.7298333707679361	native-country=India
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	native-country=Japan
	0.21294254467795404	0.3810690633751752	-0.6961949664419445	native-country=Greece
	0.4121813494669462	0.7987563310342116	0.030048731289127106	native-country=South
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	native-country=China
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	native-country=Cuba
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	native-country=Iran
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	native-country=Honduras
	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	native-country=Philippines
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	native-country=Italy
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	native-country=Poland
	-0.4836761987068492	0.9256631212695201	0.4580697097819457	native-country=Jamaica
	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	native-country=Vietnam
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Mexico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	native-country=Portugal
	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	native-country=Ireland
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	native-country=France
	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	native-country=Dominican-Republic
	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=Laos
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	native-country=Ecuador
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	native-country=Taiwan
	0.014735881629157621	0.2585955088866527	0.6074316423894139	native-country=Haiti
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	native-country=Columbia
	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=Hungary
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	native-country=Guatemala
	0.2545468291786448	-0.614532418484848	0.5985097285208609	native-country=Nicaragua
	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	native-country=Scotland
	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Thailand
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Yugoslavia
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	native-country=El-Salvador
	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Trinadad&Tobago
	0.43644252574578	-0.8980772178573757	0.48760242109777585	native-country=Peru
	-0.47122711219329516	-0.833067346727385	0.44210006521376566	native-country=Hong
	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Holand-Netherlands
Hidden Weights:
	-0.8836336441965462	-0.34592534518250484
	-0.914211204381709	0.38537479616887094
	-0.8401728475146428	0.16144084410901471
		>50K		<=50K

Error sum for iteration 100 = 55.13654471094403

Error sum for iteration 200 = 57.105789826107106

Error sum for iteration 300 = 56.5188354913363

Error sum for iteration 400 = 56.132598889478324

Error sum for iteration 500 = 55.69871795652724

Error sum for iteration 600 = 55.12513161756572

Error sum for iteration 700 = 54.457722754920475

Error sum for iteration 800 = 53.70788640173377

Error sum for iteration 900 = 52.85732909113664

Error sum for iteration 1000 = 51.921271697383844

Error sum for iteration 1100 = 50.93440171810104

Error sum for iteration 1200 = 49.90818081986304

Error sum for iteration 1300 = 48.844434162424605

Error sum for iteration 1400 = 47.748188469979965

Error sum for iteration 1500 = 46.64581643928432

Error sum for iteration 1600 = 45.56838915504277

Error sum for iteration 1700 = 44.5082075730777

Error sum for iteration 1800 = 43.49759583549279

Error sum for iteration 1900 = 42.55926232208459

Error sum for iteration 2000 = 41.7335616608813

Error sum for iteration 2100 = 41.096848423301864

Error sum for iteration 2200 = 40.725255931475665

Error sum for iteration 2300 = 40.08995091904244

Error sum for iteration 2400 = 39.091426475222576

Error sum for iteration 2500 = 38.13780655213633

Error sum for iteration 2600 = 37.285813945566545

Error sum for iteration 2700 = 36.535604013185875

Error sum for iteration 2800 = 35.884736224757035

Error sum for iteration 2900 = 35.318340579010574

Error sum for iteration 3000 = 34.82936821986224

Error sum for iteration 3100 = 34.42317025733239

Error sum for iteration 3200 = 34.090063610734475

Error sum for iteration 3300 = 33.82651359441904

Error sum for iteration 3400 = 33.58143279794753

Error sum for iteration 3500 = 33.28192451109686

Error sum for iteration 3600 = 32.90157413040512

Error sum for iteration 3700 = 32.47422072485471

Error sum for iteration 3800 = 32.03624399882899

Error sum for iteration 3900 = 31.610942483038745

Error sum for iteration 4000 = 31.213146640513013

Error sum for iteration 4100 = 30.865315849906814

Error sum for iteration 4200 = 30.567039423167717

Error sum for iteration 4300 = 30.28973053005493

Error sum for iteration 4400 = 29.968306831959463

Error sum for iteration 4500 = 29.55809226639036

Error sum for iteration 4600 = 29.098464526713652

Error sum for iteration 4700 = 28.61742395954232

Error sum for iteration 4800 = 28.130494248208166

Error sum for iteration 4900 = 27.65017078779873

Error sum for iteration 5000 = 27.183347409325744

Error sum for iteration 5100 = 26.733594889423202

Error sum for iteration 5200 = 26.30234579706255

Error sum for iteration 5300 = 25.892824657328454

Error sum for iteration 5400 = 25.499218340932714

Error sum for iteration 5500 = 25.127542094576516

Error sum for iteration 5600 = 24.77640505409506

Error sum for iteration 5700 = 24.444258910662633

Error sum for iteration 5800 = 24.135695758584315

Error sum for iteration 5900 = 23.843671393901577

Error sum for iteration 6000 = 23.56621037423343

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	3
	-M	0.01
Input Weights:
	-0.6892086919968345	-0.7715859192900987	-0.9927062271272413	age
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	workclass=Private
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	workclass=Self-emp-not-inc
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Federal-gov
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Local-gov
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=State-gov
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Without-pay
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Never-worked
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	fnlwgt
	0.7847541233867674	0.6462006857005189	0.6617767514445207	education=Bachelors
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	education=Some-college
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	education=11th
	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=HS-grad
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	education=Prof-school
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	education=Assoc-acdm
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Assoc-voc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	education=9th
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=7th-8th
	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=12th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	education=Masters
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	education=1st-4th
	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=10th
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=Doctorate
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=5th-6th
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Preschool
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education-num
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	marital-status=Married-civ-spouse
	0.16489959344768468	0.6077707593884694	0.4333416818857816	marital-status=Divorced
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	marital-status=Never-married
	-0.06622785881719007	0.7705863787543941	0.06617394387462605	marital-status=Separated
	0.8426144116475942	0.8327341647144753	0.3519649878204687	marital-status=Widowed
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	marital-status=Married-spouse-absent
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	marital-status=Married-AF-spouse
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	occupation=Tech-support
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	occupation=Craft-repair
	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	occupation=Other-service
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	occupation=Sales
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	occupation=Exec-managerial
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	occupation=Prof-specialty
	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	occupation=Handlers-cleaners
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	occupation=Machine-op-inspct
	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	occupation=Adm-clerical
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Farming-fishing
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	occupation=Transport-moving
	0.685457702810746	0.38761061595639634	-0.3728444495767562	occupation=Priv-house-serv
	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	occupation=Protective-serv
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	occupation=Armed-Forces
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	relationship=Wife
	0.54715062008254	0.8963606962090105	0.2144893560102754	relationship=Own-child
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	relationship=Husband
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	relationship=Not-in-family
	-0.7544036635997344	0.6102702067132315	0.6051749442076799	relationship=Other-relative
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	relationship=Unmarried
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	race=White
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	race=Asian-Pac-Islander
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	race=Amer-Indian-Eskimo
	0.7741167572990868	0.7027442042241694	-0.48105689094168436	race=Other
	0.8249994687760931	0.10427053074554449	0.5774117506059475	race=Black
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	sex
	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	capital-gain
	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	capital-loss
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	hours-per-week
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	native-country=United-States
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	native-country=Cambodia
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	native-country=England
	0.8283906631568214	-0.5773081979035071	0.7634928476087881	native-country=Puerto-Rico
	0.5595325042991308	0.2943367935608967	0.959566799329884	native-country=Canada
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	native-country=Germany
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	native-country=Outlying-US(Guam-USVI-etc)
	0.7342874215733786	-0.3434323378041848	0.7298333707679361	native-country=India
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	native-country=Japan
	0.21294254467795404	0.3810690633751752	-0.6961949664419445	native-country=Greece
	0.4121813494669462	0.7987563310342116	0.030048731289127106	native-country=South
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	native-country=China
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	native-country=Cuba
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	native-country=Iran
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	native-country=Honduras
	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	native-country=Philippines
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	native-country=Italy
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	native-country=Poland
	-0.4836761987068492	0.9256631212695201	0.4580697097819457	native-country=Jamaica
	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	native-country=Vietnam
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Mexico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	native-country=Portugal
	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	native-country=Ireland
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	native-country=France
	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	native-country=Dominican-Republic
	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=Laos
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	native-country=Ecuador
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	native-country=Taiwan
	0.014735881629157621	0.2585955088866527	0.6074316423894139	native-country=Haiti
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	native-country=Columbia
	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=Hungary
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	native-country=Guatemala
	0.2545468291786448	-0.614532418484848	0.5985097285208609	native-country=Nicaragua
	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	native-country=Scotland
	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Thailand
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Yugoslavia
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	native-country=El-Salvador
	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Trinadad&Tobago
	0.43644252574578	-0.8980772178573757	0.48760242109777585	native-country=Peru
	-0.47122711219329516	-0.833067346727385	0.44210006521376566	native-country=Hong
	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Holand-Netherlands
Hidden Weights:
	-0.8836336441965462	-0.34592534518250484
	-0.914211204381709	0.38537479616887094
	-0.8401728475146428	0.16144084410901471
		>50K		<=50K

Error sum for iteration 100 = 54.4739955800679

Error sum for iteration 200 = 56.767989122341476

Error sum for iteration 300 = 56.46306819578491

Error sum for iteration 400 = 56.33481817357606

Error sum for iteration 500 = 56.324220784457644

Error sum for iteration 600 = 56.2392805822316

Error sum for iteration 700 = 55.99745262088186

Error sum for iteration 800 = 55.679577707849944

Error sum for iteration 900 = 55.3929651894313

Error sum for iteration 1000 = 55.17390065805776

Error sum for iteration 1100 = 54.92968846834729

Error sum for iteration 1200 = 54.53795887757751

Error sum for iteration 1300 = 54.044460686122235

Error sum for iteration 1400 = 53.499084521564534

Error sum for iteration 1500 = 52.917490640491835

Error sum for iteration 1600 = 52.312514386633495

Error sum for iteration 1700 = 51.64031236221756

Error sum for iteration 1800 = 50.825560780058964

Error sum for iteration 1900 = 49.84767480853251

Error sum for iteration 2000 = 48.7196434562607

Error sum for iteration 2100 = 47.50534978752279

Error sum for iteration 2200 = 46.282852386570475

Error sum for iteration 2300 = 45.07888148113856

Error sum for iteration 2400 = 43.92302344016443

Error sum for iteration 2500 = 42.84941969342697

Error sum for iteration 2600 = 41.856763471586824

Error sum for iteration 2700 = 40.93840441095607

Error sum for iteration 2800 = 40.10088185168666

Error sum for iteration 2900 = 39.343212325700875

Error sum for iteration 3000 = 38.64718639616912

Error sum for iteration 3100 = 38.0145882926609

Error sum for iteration 3200 = 37.43533389632504

Error sum for iteration 3300 = 36.90044645375755

Error sum for iteration 3400 = 36.405401008947685

Error sum for iteration 3500 = 35.94650221510764

Error sum for iteration 3600 = 35.52286431893442

Error sum for iteration 3700 = 35.131840863597766

Error sum for iteration 3800 = 34.76803965129315

Error sum for iteration 3900 = 34.429951630042105

Error sum for iteration 4000 = 34.11574461775052

Error sum for iteration 4100 = 33.82592381132798

Error sum for iteration 4200 = 33.554029337381294

Error sum for iteration 4300 = 33.298499712748395

Error sum for iteration 4400 = 33.060983041765475

Error sum for iteration 4500 = 32.83781475988541

Error sum for iteration 4600 = 32.63240394518733

Error sum for iteration 4700 = 32.4425753645779

Error sum for iteration 4800 = 32.26239372490818

Error sum for iteration 4900 = 32.08897472926376

Error sum for iteration 5000 = 31.920889797473922

Error sum for iteration 5100 = 31.756883559850078

Error sum for iteration 5200 = 31.60154028179274

Error sum for iteration 5300 = 31.45240460349386

Error sum for iteration 5400 = 31.310230396335264

Error sum for iteration 5500 = 31.172012067691615

Error sum for iteration 5600 = 31.033124850404356

Error sum for iteration 5700 = 30.895468394751635

Error sum for iteration 5800 = 30.757263266853705

Error sum for iteration 5900 = 30.622419626572015

Error sum for iteration 6000 = 30.491345316284068

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	3
	-M	0.01
Input Weights:
	-0.6892086919968345	-0.7715859192900987	-0.9927062271272413	age
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	workclass=Private
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	workclass=Self-emp-not-inc
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Federal-gov
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Local-gov
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=State-gov
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Without-pay
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Never-worked
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	fnlwgt
	0.7847541233867674	0.6462006857005189	0.6617767514445207	education=Bachelors
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	education=Some-college
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	education=11th
	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=HS-grad
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	education=Prof-school
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	education=Assoc-acdm
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Assoc-voc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	education=9th
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=7th-8th
	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=12th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	education=Masters
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	education=1st-4th
	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=10th
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=Doctorate
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=5th-6th
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Preschool
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education-num
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	marital-status=Married-civ-spouse
	0.16489959344768468	0.6077707593884694	0.4333416818857816	marital-status=Divorced
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	marital-status=Never-married
	-0.06622785881719007	0.7705863787543941	0.06617394387462605	marital-status=Separated
	0.8426144116475942	0.8327341647144753	0.3519649878204687	marital-status=Widowed
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	marital-status=Married-spouse-absent
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	marital-status=Married-AF-spouse
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	occupation=Tech-support
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	occupation=Craft-repair
	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	occupation=Other-service
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	occupation=Sales
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	occupation=Exec-managerial
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	occupation=Prof-specialty
	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	occupation=Handlers-cleaners
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	occupation=Machine-op-inspct
	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	occupation=Adm-clerical
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Farming-fishing
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	occupation=Transport-moving
	0.685457702810746	0.38761061595639634	-0.3728444495767562	occupation=Priv-house-serv
	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	occupation=Protective-serv
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	occupation=Armed-Forces
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	relationship=Wife
	0.54715062008254	0.8963606962090105	0.2144893560102754	relationship=Own-child
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	relationship=Husband
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	relationship=Not-in-family
	-0.7544036635997344	0.6102702067132315	0.6051749442076799	relationship=Other-relative
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	relationship=Unmarried
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	race=White
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	race=Asian-Pac-Islander
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	race=Amer-Indian-Eskimo
	0.7741167572990868	0.7027442042241694	-0.48105689094168436	race=Other
	0.8249994687760931	0.10427053074554449	0.5774117506059475	race=Black
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	sex
	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	capital-gain
	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	capital-loss
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	hours-per-week
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	native-country=United-States
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	native-country=Cambodia
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	native-country=England
	0.8283906631568214	-0.5773081979035071	0.7634928476087881	native-country=Puerto-Rico
	0.5595325042991308	0.2943367935608967	0.959566799329884	native-country=Canada
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	native-country=Germany
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	native-country=Outlying-US(Guam-USVI-etc)
	0.7342874215733786	-0.3434323378041848	0.7298333707679361	native-country=India
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	native-country=Japan
	0.21294254467795404	0.3810690633751752	-0.6961949664419445	native-country=Greece
	0.4121813494669462	0.7987563310342116	0.030048731289127106	native-country=South
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	native-country=China
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	native-country=Cuba
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	native-country=Iran
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	native-country=Honduras
	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	native-country=Philippines
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	native-country=Italy
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	native-country=Poland
	-0.4836761987068492	0.9256631212695201	0.4580697097819457	native-country=Jamaica
	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	native-country=Vietnam
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Mexico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	native-country=Portugal
	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	native-country=Ireland
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	native-country=France
	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	native-country=Dominican-Republic
	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=Laos
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	native-country=Ecuador
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	native-country=Taiwan
	0.014735881629157621	0.2585955088866527	0.6074316423894139	native-country=Haiti
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	native-country=Columbia
	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=Hungary
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	native-country=Guatemala
	0.2545468291786448	-0.614532418484848	0.5985097285208609	native-country=Nicaragua
	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	native-country=Scotland
	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Thailand
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Yugoslavia
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	native-country=El-Salvador
	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Trinadad&Tobago
	0.43644252574578	-0.8980772178573757	0.48760242109777585	native-country=Peru
	-0.47122711219329516	-0.833067346727385	0.44210006521376566	native-country=Hong
	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Holand-Netherlands
Hidden Weights:
	-0.8836336441965462	-0.34592534518250484
	-0.914211204381709	0.38537479616887094
	-0.8401728475146428	0.16144084410901471
		>50K		<=50K

Error sum for iteration 100 = 55.011040297070885

Error sum for iteration 200 = 58.10108622194825

Error sum for iteration 300 = 57.629439436656035

Error sum for iteration 400 = 57.052436781995944

Error sum for iteration 500 = 56.646578788131336

Error sum for iteration 600 = 56.23624747237361

Error sum for iteration 700 = 55.72932841248972

Error sum for iteration 800 = 55.103272907752604

Error sum for iteration 900 = 54.369845669036174

Error sum for iteration 1000 = 53.61561975323632

Error sum for iteration 1100 = 52.955175233947976

Error sum for iteration 1200 = 52.44371472891983

Error sum for iteration 1300 = 52.0271343151194

Error sum for iteration 1400 = 51.64183363595326

Error sum for iteration 1500 = 51.251879731590556

Error sum for iteration 1600 = 50.829886677097335

Error sum for iteration 1700 = 50.28495633195897

Error sum for iteration 1800 = 49.59338568565072

Error sum for iteration 1900 = 48.86749218099274

Error sum for iteration 2000 = 48.1475752435732

Error sum for iteration 2100 = 47.460710284981396

Error sum for iteration 2200 = 46.8236030156474

Error sum for iteration 2300 = 46.23339480613811

Error sum for iteration 2400 = 45.6868766250199

Error sum for iteration 2500 = 45.186913710966955

Error sum for iteration 2600 = 44.7227926595887

Error sum for iteration 2700 = 44.293965174951914

Error sum for iteration 2800 = 43.90221006923394

Error sum for iteration 2900 = 43.5330450057717

Error sum for iteration 3000 = 43.19253615404423

Error sum for iteration 3100 = 42.86640290718105

Error sum for iteration 3200 = 42.552753705025275

Error sum for iteration 3300 = 42.25671710955867

Error sum for iteration 3400 = 41.976518452342965

Error sum for iteration 3500 = 41.71001488672443

Error sum for iteration 3600 = 41.455745302523106

Error sum for iteration 3700 = 41.21287031271288

Error sum for iteration 3800 = 40.978384081629365

Error sum for iteration 3900 = 40.74712103576506

Error sum for iteration 4000 = 40.52026558457181

Error sum for iteration 4100 = 40.29947463787932

Error sum for iteration 4200 = 40.08223127584799

Error sum for iteration 4300 = 39.86766178633439

Error sum for iteration 4400 = 39.648267037854126

Error sum for iteration 4500 = 39.4198231572817

Error sum for iteration 4600 = 39.18163609450633

Error sum for iteration 4700 = 38.934416165991365

Error sum for iteration 4800 = 38.67668913960386

Error sum for iteration 4900 = 38.416768665657735

Error sum for iteration 5000 = 38.1517660423607

Error sum for iteration 5100 = 37.876415759283084

Error sum for iteration 5200 = 37.59070220511355

Error sum for iteration 5300 = 37.29389789741025

Error sum for iteration 5400 = 36.986895731808346

Error sum for iteration 5500 = 36.67792798040922

Error sum for iteration 5600 = 36.36484842094736

Error sum for iteration 5700 = 36.04595930560891

Error sum for iteration 5800 = 35.72019102545488

Error sum for iteration 5900 = 35.38691573803901

Error sum for iteration 6000 = 35.04715934242032

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	3
	-M	0.01
Input Weights:
	-0.6892086919968345	-0.7715859192900987	-0.9927062271272413	age
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	workclass=Private
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	workclass=Self-emp-not-inc
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Federal-gov
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Local-gov
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=State-gov
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Without-pay
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Never-worked
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	fnlwgt
	0.7847541233867674	0.6462006857005189	0.6617767514445207	education=Bachelors
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	education=Some-college
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	education=11th
	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=HS-grad
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	education=Prof-school
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	education=Assoc-acdm
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Assoc-voc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	education=9th
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=7th-8th
	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=12th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	education=Masters
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	education=1st-4th
	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=10th
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=Doctorate
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=5th-6th
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Preschool
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education-num
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	marital-status=Married-civ-spouse
	0.16489959344768468	0.6077707593884694	0.4333416818857816	marital-status=Divorced
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	marital-status=Never-married
	-0.06622785881719007	0.7705863787543941	0.06617394387462605	marital-status=Separated
	0.8426144116475942	0.8327341647144753	0.3519649878204687	marital-status=Widowed
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	marital-status=Married-spouse-absent
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	marital-status=Married-AF-spouse
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	occupation=Tech-support
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	occupation=Craft-repair
	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	occupation=Other-service
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	occupation=Sales
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	occupation=Exec-managerial
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	occupation=Prof-specialty
	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	occupation=Handlers-cleaners
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	occupation=Machine-op-inspct
	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	occupation=Adm-clerical
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Farming-fishing
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	occupation=Transport-moving
	0.685457702810746	0.38761061595639634	-0.3728444495767562	occupation=Priv-house-serv
	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	occupation=Protective-serv
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	occupation=Armed-Forces
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	relationship=Wife
	0.54715062008254	0.8963606962090105	0.2144893560102754	relationship=Own-child
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	relationship=Husband
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	relationship=Not-in-family
	-0.7544036635997344	0.6102702067132315	0.6051749442076799	relationship=Other-relative
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	relationship=Unmarried
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	race=White
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	race=Asian-Pac-Islander
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	race=Amer-Indian-Eskimo
	0.7741167572990868	0.7027442042241694	-0.48105689094168436	race=Other
	0.8249994687760931	0.10427053074554449	0.5774117506059475	race=Black
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	sex
	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	capital-gain
	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	capital-loss
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	hours-per-week
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	native-country=United-States
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	native-country=Cambodia
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	native-country=England
	0.8283906631568214	-0.5773081979035071	0.7634928476087881	native-country=Puerto-Rico
	0.5595325042991308	0.2943367935608967	0.959566799329884	native-country=Canada
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	native-country=Germany
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	native-country=Outlying-US(Guam-USVI-etc)
	0.7342874215733786	-0.3434323378041848	0.7298333707679361	native-country=India
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	native-country=Japan
	0.21294254467795404	0.3810690633751752	-0.6961949664419445	native-country=Greece
	0.4121813494669462	0.7987563310342116	0.030048731289127106	native-country=South
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	native-country=China
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	native-country=Cuba
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	native-country=Iran
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	native-country=Honduras
	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	native-country=Philippines
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	native-country=Italy
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	native-country=Poland
	-0.4836761987068492	0.9256631212695201	0.4580697097819457	native-country=Jamaica
	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	native-country=Vietnam
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Mexico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	native-country=Portugal
	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	native-country=Ireland
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	native-country=France
	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	native-country=Dominican-Republic
	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=Laos
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	native-country=Ecuador
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	native-country=Taiwan
	0.014735881629157621	0.2585955088866527	0.6074316423894139	native-country=Haiti
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	native-country=Columbia
	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=Hungary
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	native-country=Guatemala
	0.2545468291786448	-0.614532418484848	0.5985097285208609	native-country=Nicaragua
	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	native-country=Scotland
	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Thailand
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Yugoslavia
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	native-country=El-Salvador
	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Trinadad&Tobago
	0.43644252574578	-0.8980772178573757	0.48760242109777585	native-country=Peru
	-0.47122711219329516	-0.833067346727385	0.44210006521376566	native-country=Hong
	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Holand-Netherlands
Hidden Weights:
	-0.8836336441965462	-0.34592534518250484
	-0.914211204381709	0.38537479616887094
	-0.8401728475146428	0.16144084410901471
		>50K		<=50K

Error sum for iteration 100 = 55.64597106040012

Error sum for iteration 200 = 60.057975138016026

Error sum for iteration 300 = 60.85454874659288

Error sum for iteration 400 = 61.266852559618876

Error sum for iteration 500 = 61.7824780919215

Error sum for iteration 600 = 62.20752581938285

Error sum for iteration 700 = 62.48417022788153

Error sum for iteration 800 = 62.52241879414252

Error sum for iteration 900 = 62.22379137980859

Error sum for iteration 1000 = 61.395740732898446

Error sum for iteration 1100 = 60.104231511344864

Error sum for iteration 1200 = 58.647756774919294

Error sum for iteration 1300 = 57.22128327989107

Error sum for iteration 1400 = 55.880922726147325

Error sum for iteration 1500 = 54.65474455793845

Error sum for iteration 1600 = 53.5387101063056

Error sum for iteration 1700 = 52.52895353006266

Error sum for iteration 1800 = 51.5865018901257

Error sum for iteration 1900 = 50.65926028002009

Error sum for iteration 2000 = 49.753724795337064

Error sum for iteration 2100 = 48.8911136141357

Error sum for iteration 2200 = 48.053292134734534

Error sum for iteration 2300 = 47.263998885113914

Error sum for iteration 2400 = 46.513982894537534

Error sum for iteration 2500 = 45.79216238481028

Error sum for iteration 2600 = 45.10924971323047

Error sum for iteration 2700 = 44.461390778107535

Error sum for iteration 2800 = 43.864633733082236

Error sum for iteration 2900 = 43.30599595673968

Error sum for iteration 3000 = 42.80912637054182

Error sum for iteration 3100 = 42.35117371206445

Error sum for iteration 3200 = 41.92407013756995

Error sum for iteration 3300 = 41.51796965086841

Error sum for iteration 3400 = 41.12705479071183

Error sum for iteration 3500 = 40.73855290733023

Error sum for iteration 3600 = 40.34675362966604

Error sum for iteration 3700 = 39.942874851343966

Error sum for iteration 3800 = 39.518483044989786

Error sum for iteration 3900 = 39.08009261278734

Error sum for iteration 4000 = 38.63161728613476

Error sum for iteration 4100 = 38.17257654173583

Error sum for iteration 4200 = 37.70687818502168

Error sum for iteration 4300 = 37.24033990282714

Error sum for iteration 4400 = 36.77812850404531

Error sum for iteration 4500 = 36.321661087462395

Error sum for iteration 4600 = 35.87245707985511

Error sum for iteration 4700 = 35.43238574274286

Error sum for iteration 4800 = 35.003052729472856

Error sum for iteration 4900 = 34.58582015583772

Error sum for iteration 5000 = 34.18122094081918

Error sum for iteration 5100 = 33.78872355793319

Error sum for iteration 5200 = 33.409592109107635

Error sum for iteration 5300 = 33.04865107756898

Error sum for iteration 5400 = 32.69951979874508

Error sum for iteration 5500 = 32.36296554226404

Error sum for iteration 5600 = 32.036873696524914

Error sum for iteration 5700 = 31.722722693585336

Error sum for iteration 5800 = 31.418853559414355

Error sum for iteration 5900 = 31.12707487473511

Error sum for iteration 6000 = 30.84358661997842

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	4
	-M	0.01
Input Weights:
	-0.7715859192900987	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	age
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	workclass=Private
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-not-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	workclass=Self-emp-inc
	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Federal-gov
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Local-gov
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=State-gov
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Without-pay
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Never-worked
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	fnlwgt
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=Bachelors
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	education=Some-college
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	education=11th
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	education=HS-grad
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=Prof-school
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	education=Assoc-acdm
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=Assoc-voc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	education=9th
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=7th-8th
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=12th
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	education=Masters
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	education=1st-4th
	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=10th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	education=Doctorate
	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	education=5th-6th
	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=Preschool
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education-num
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	marital-status=Married-civ-spouse
	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	marital-status=Divorced
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	marital-status=Never-married
	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	marital-status=Separated
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	marital-status=Widowed
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	marital-status=Married-spouse-absent
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	marital-status=Married-AF-spouse
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Tech-support
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	occupation=Craft-repair
	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	occupation=Other-service
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	occupation=Sales
	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	occupation=Exec-managerial
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	occupation=Prof-specialty
	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	occupation=Handlers-cleaners
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	occupation=Machine-op-inspct
	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	occupation=Adm-clerical
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	occupation=Farming-fishing
	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	occupation=Transport-moving
	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	occupation=Priv-house-serv
	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Protective-serv
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	occupation=Armed-Forces
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	relationship=Wife
	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	relationship=Own-child
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	relationship=Husband
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	relationship=Not-in-family
	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	relationship=Other-relative
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	relationship=Unmarried
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	race=White
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	race=Asian-Pac-Islander
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	race=Amer-Indian-Eskimo
	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	race=Other
	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	race=Black
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	sex
	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	capital-gain
	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	capital-loss
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	hours-per-week
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	native-country=United-States
	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	native-country=Cambodia
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	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	native-country=Outlying-US(Guam-USVI-etc)
	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=India
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	native-country=Japan
	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	native-country=Greece
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	0.6901923401815571	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=China
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	native-country=Cuba
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	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Philippines
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	native-country=Italy
	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	native-country=Poland
	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	native-country=Jamaica
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	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	0.35709649037128566	native-country=Haiti
	-0.8834037767148772	0.911432859350713	0.227679940232701	0.8551939564234716	native-country=Columbia
	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	native-country=Hungary
	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Guatemala
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	native-country=Nicaragua
	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Scotland
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	native-country=Thailand
	-0.9023589228554334	0.5438514298549799	-0.6408132208614168	-0.669311630734674	native-country=Yugoslavia
	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	0.5595880331830201	native-country=El-Salvador
	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Trinadad&Tobago
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	native-country=Peru
	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	native-country=Hong
	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=Holand-Netherlands
Hidden Weights:
	0.9320115475373028	-0.047197053228220875
	-0.9471836287898745	0.9367874755713848
	0.05270195563226565	-0.4818949596154889
	0.9780968853795882	0.4972320450638834
		>50K		<=50K

Error sum for iteration 100 = 56.449123808655166

Error sum for iteration 200 = 55.8382366746

Error sum for iteration 300 = 54.64624832604441

Error sum for iteration 400 = 54.673125688061376

Error sum for iteration 500 = 54.76802182547251

Error sum for iteration 600 = 54.60688891703908

Error sum for iteration 700 = 54.175827662433186

Error sum for iteration 800 = 53.61267819423318

Error sum for iteration 900 = 52.97218649747491

Error sum for iteration 1000 = 52.237181711500064

Error sum for iteration 1100 = 51.39671853265514

Error sum for iteration 1200 = 50.45981492565572

Error sum for iteration 1300 = 49.42461882406422

Error sum for iteration 1400 = 48.330298436269985

Error sum for iteration 1500 = 47.236972493350855

Error sum for iteration 1600 = 46.17851737732558

Error sum for iteration 1700 = 45.11783439005467

Error sum for iteration 1800 = 44.04909586212772

Error sum for iteration 1900 = 42.99063850042948

Error sum for iteration 2000 = 41.97416650965974

Error sum for iteration 2100 = 41.01408712330204

Error sum for iteration 2200 = 40.139579298669496

Error sum for iteration 2300 = 39.364364251988

Error sum for iteration 2400 = 38.67737838113472

Error sum for iteration 2500 = 38.08538192841667

Error sum for iteration 2600 = 37.56822884772488

Error sum for iteration 2700 = 37.09911956647258

Error sum for iteration 2800 = 36.6477273788633

Error sum for iteration 2900 = 36.16042282162349

Error sum for iteration 3000 = 35.62544463204843

Error sum for iteration 3100 = 35.08167364666444

Error sum for iteration 3200 = 34.54781529603882

Error sum for iteration 3300 = 34.00180478174928

Error sum for iteration 3400 = 33.442192780754844

Error sum for iteration 3500 = 32.89426044657744

Error sum for iteration 3600 = 32.38443724104635

Error sum for iteration 3700 = 31.919400364905943

Error sum for iteration 3800 = 31.49064452124952

Error sum for iteration 3900 = 31.092509272004474

Error sum for iteration 4000 = 30.71339291549077

Error sum for iteration 4100 = 30.349630323284913

Error sum for iteration 4200 = 29.997404364802215

Error sum for iteration 4300 = 29.657705367720787

Error sum for iteration 4400 = 29.33100562384149

Error sum for iteration 4500 = 29.014435085196286

Error sum for iteration 4600 = 28.707586389457138

Error sum for iteration 4700 = 28.40651850637685

Error sum for iteration 4800 = 28.110303978483746

Error sum for iteration 4900 = 27.824241308381666

Error sum for iteration 5000 = 27.54582606338316

Error sum for iteration 5100 = 27.274434656449873

Error sum for iteration 5200 = 27.012443340563674

Error sum for iteration 5300 = 26.758917651043333

Error sum for iteration 5400 = 26.518896110961105

Error sum for iteration 5500 = 26.290330857458446

Error sum for iteration 5600 = 26.070098422492574

Error sum for iteration 5700 = 25.858856112307542

Error sum for iteration 5800 = 25.657487326401228

Error sum for iteration 5900 = 25.46740336714942

Error sum for iteration 6000 = 25.2874737628394

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	4
	-M	0.01
Input Weights:
	-0.7715859192900987	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	age
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	workclass=Private
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-not-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	workclass=Self-emp-inc
	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Federal-gov
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Local-gov
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=State-gov
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Without-pay
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Never-worked
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	fnlwgt
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=Bachelors
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	education=Some-college
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	education=11th
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	education=HS-grad
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=Prof-school
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	education=Assoc-acdm
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=Assoc-voc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	education=9th
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=7th-8th
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=12th
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	education=Masters
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	education=1st-4th
	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=10th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	education=Doctorate
	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	education=5th-6th
	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=Preschool
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education-num
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	marital-status=Married-civ-spouse
	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	marital-status=Divorced
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	marital-status=Never-married
	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	marital-status=Separated
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	marital-status=Widowed
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	marital-status=Married-spouse-absent
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	marital-status=Married-AF-spouse
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Tech-support
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	occupation=Craft-repair
	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	occupation=Other-service
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	occupation=Sales
	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	occupation=Exec-managerial
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	occupation=Prof-specialty
	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	occupation=Handlers-cleaners
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	occupation=Machine-op-inspct
	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	occupation=Adm-clerical
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	occupation=Farming-fishing
	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	occupation=Transport-moving
	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	occupation=Priv-house-serv
	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Protective-serv
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	occupation=Armed-Forces
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	relationship=Wife
	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	relationship=Own-child
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	relationship=Husband
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	relationship=Not-in-family
	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	relationship=Other-relative
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	relationship=Unmarried
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	race=White
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	race=Asian-Pac-Islander
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	race=Amer-Indian-Eskimo
	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	race=Other
	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	race=Black
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	sex
	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	capital-gain
	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	capital-loss
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	hours-per-week
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	native-country=United-States
	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	native-country=Cambodia
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	native-country=England
	-0.6317487818561391	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Puerto-Rico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	0.5492947290811148	native-country=Canada
	-0.6049762561649725	0.019215160068648096	0.41160438205075134	0.48734104678219414	native-country=Germany
	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	native-country=Outlying-US(Guam-USVI-etc)
	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=India
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	native-country=Japan
	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	native-country=Greece
	0.6074316423894139	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	native-country=South
	0.6901923401815571	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=China
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	native-country=Cuba
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=Iran
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	native-country=Honduras
	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Philippines
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	native-country=Italy
	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	native-country=Poland
	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	native-country=Jamaica
	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Vietnam
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	native-country=Mexico
	-0.9148225597251407	-0.914211204381709	0.38537479616887094	-0.24343067890472492	native-country=Portugal
	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	0.15940618494233516	native-country=Ireland
	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	native-country=France
	0.5575335538185009	0.8558880673005256	-0.45491738406061355	0.22762921003482028	native-country=Dominican-Republic
	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=Laos
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=Ecuador
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	native-country=Taiwan
	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	0.35709649037128566	native-country=Haiti
	-0.8834037767148772	0.911432859350713	0.227679940232701	0.8551939564234716	native-country=Columbia
	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	native-country=Hungary
	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Guatemala
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	native-country=Nicaragua
	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Scotland
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	native-country=Thailand
	-0.9023589228554334	0.5438514298549799	-0.6408132208614168	-0.669311630734674	native-country=Yugoslavia
	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	0.5595880331830201	native-country=El-Salvador
	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Trinadad&Tobago
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	native-country=Peru
	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	native-country=Hong
	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=Holand-Netherlands
Hidden Weights:
	0.9320115475373028	-0.047197053228220875
	-0.9471836287898745	0.9367874755713848
	0.05270195563226565	-0.4818949596154889
	0.9780968853795882	0.4972320450638834
		>50K		<=50K

Error sum for iteration 100 = 53.963567097617165

Error sum for iteration 200 = 55.5166980279726

Error sum for iteration 300 = 55.26618080097485

Error sum for iteration 400 = 55.0140398240472

Error sum for iteration 500 = 55.07790426481971

Error sum for iteration 600 = 55.34642287863599

Error sum for iteration 700 = 55.69657234870973

Error sum for iteration 800 = 56.093415996225325

Error sum for iteration 900 = 56.55353022104533

Error sum for iteration 1000 = 57.07605333761206

Error sum for iteration 1100 = 57.532822461851005

Error sum for iteration 1200 = 57.612911752520894

Error sum for iteration 1300 = 57.26809733533541

Error sum for iteration 1400 = 56.67113335110875

Error sum for iteration 1500 = 55.96031659972912

Error sum for iteration 1600 = 55.21094555842799

Error sum for iteration 1700 = 54.49247695250724

Error sum for iteration 1800 = 53.86761944974853

Error sum for iteration 1900 = 53.354084570273855

Error sum for iteration 2000 = 52.93338763371074

Error sum for iteration 2100 = 52.54760715915127

Error sum for iteration 2200 = 52.13934266258435

Error sum for iteration 2300 = 51.68375151608278

Error sum for iteration 2400 = 51.184778628133664

Error sum for iteration 2500 = 50.64571335504348

Error sum for iteration 2600 = 50.10438883697129

Error sum for iteration 2700 = 49.56527112897357

Error sum for iteration 2800 = 49.03848919691195

Error sum for iteration 2900 = 48.52784691795365

Error sum for iteration 3000 = 48.03036489306937

Error sum for iteration 3100 = 47.55757288875051

Error sum for iteration 3200 = 47.10264360258033

Error sum for iteration 3300 = 46.6604533443673

Error sum for iteration 3400 = 46.21765541376814

Error sum for iteration 3500 = 45.765504510307544

Error sum for iteration 3600 = 45.30308108758577

Error sum for iteration 3700 = 44.83373138564446

Error sum for iteration 3800 = 44.35355800425552

Error sum for iteration 3900 = 43.85366194300785

Error sum for iteration 4000 = 43.34097774748309

Error sum for iteration 4100 = 42.81583715998645

Error sum for iteration 4200 = 42.284321204004726

Error sum for iteration 4300 = 41.749138250510725

Error sum for iteration 4400 = 41.21325761213138

Error sum for iteration 4500 = 40.67507815187128

Error sum for iteration 4600 = 40.13280196161715

Error sum for iteration 4700 = 39.59004170717596

Error sum for iteration 4800 = 39.047450069039336

Error sum for iteration 4900 = 38.513816406220364

Error sum for iteration 5000 = 37.99207449262587

Error sum for iteration 5100 = 37.47221774191007

Error sum for iteration 5200 = 36.95588967544462

Error sum for iteration 5300 = 36.44564330571008

Error sum for iteration 5400 = 35.94564812749891

Error sum for iteration 5500 = 35.46185507135315

Error sum for iteration 5600 = 34.99564710053966

Error sum for iteration 5700 = 34.547783500581254

Error sum for iteration 5800 = 34.11567419108085

Error sum for iteration 5900 = 33.6967312246125

Error sum for iteration 6000 = 33.29163312958319

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	4
	-M	0.01
Input Weights:
	-0.7715859192900987	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	age
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	workclass=Private
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-not-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	workclass=Self-emp-inc
	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Federal-gov
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Local-gov
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=State-gov
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Without-pay
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Never-worked
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	fnlwgt
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=Bachelors
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	education=Some-college
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	education=11th
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	education=HS-grad
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=Prof-school
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	education=Assoc-acdm
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=Assoc-voc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	education=9th
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=7th-8th
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=12th
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	education=Masters
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	education=1st-4th
	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=10th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	education=Doctorate
	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	education=5th-6th
	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=Preschool
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education-num
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	marital-status=Married-civ-spouse
	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	marital-status=Divorced
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	marital-status=Never-married
	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	marital-status=Separated
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	marital-status=Widowed
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	marital-status=Married-spouse-absent
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	marital-status=Married-AF-spouse
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Tech-support
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	occupation=Craft-repair
	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	occupation=Other-service
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	occupation=Sales
	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	occupation=Exec-managerial
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	occupation=Prof-specialty
	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	occupation=Handlers-cleaners
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	occupation=Machine-op-inspct
	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	occupation=Adm-clerical
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	occupation=Farming-fishing
	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	occupation=Transport-moving
	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	occupation=Priv-house-serv
	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Protective-serv
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	occupation=Armed-Forces
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	relationship=Wife
	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	relationship=Own-child
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	relationship=Husband
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	relationship=Not-in-family
	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	relationship=Other-relative
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	relationship=Unmarried
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	race=White
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	race=Asian-Pac-Islander
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	race=Amer-Indian-Eskimo
	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	race=Other
	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	race=Black
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	sex
	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	capital-gain
	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	capital-loss
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	hours-per-week
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	native-country=United-States
	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	native-country=Cambodia
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	native-country=England
	-0.6317487818561391	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Puerto-Rico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	0.5492947290811148	native-country=Canada
	-0.6049762561649725	0.019215160068648096	0.41160438205075134	0.48734104678219414	native-country=Germany
	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	native-country=Outlying-US(Guam-USVI-etc)
	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=India
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	native-country=Japan
	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	native-country=Greece
	0.6074316423894139	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	native-country=South
	0.6901923401815571	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=China
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	native-country=Cuba
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=Iran
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	native-country=Honduras
	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Philippines
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	native-country=Italy
	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	native-country=Poland
	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	native-country=Jamaica
	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Vietnam
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	native-country=Mexico
	-0.9148225597251407	-0.914211204381709	0.38537479616887094	-0.24343067890472492	native-country=Portugal
	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	0.15940618494233516	native-country=Ireland
	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	native-country=France
	0.5575335538185009	0.8558880673005256	-0.45491738406061355	0.22762921003482028	native-country=Dominican-Republic
	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=Laos
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=Ecuador
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	native-country=Taiwan
	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	0.35709649037128566	native-country=Haiti
	-0.8834037767148772	0.911432859350713	0.227679940232701	0.8551939564234716	native-country=Columbia
	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	native-country=Hungary
	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Guatemala
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	native-country=Nicaragua
	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Scotland
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	native-country=Thailand
	-0.9023589228554334	0.5438514298549799	-0.6408132208614168	-0.669311630734674	native-country=Yugoslavia
	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	0.5595880331830201	native-country=El-Salvador
	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Trinadad&Tobago
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	native-country=Peru
	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	native-country=Hong
	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=Holand-Netherlands
Hidden Weights:
	0.9320115475373028	-0.047197053228220875
	-0.9471836287898745	0.9367874755713848
	0.05270195563226565	-0.4818949596154889
	0.9780968853795882	0.4972320450638834
		>50K		<=50K

Error sum for iteration 100 = 55.45117508464851

Error sum for iteration 200 = 57.07292908794458

Error sum for iteration 300 = 56.653928994735374

Error sum for iteration 400 = 56.33647315765717

Error sum for iteration 500 = 56.206246590943

Error sum for iteration 600 = 56.32909816443755

Error sum for iteration 700 = 56.63355851817383

Error sum for iteration 800 = 57.0060661736185

Error sum for iteration 900 = 57.285915056547324

Error sum for iteration 1000 = 57.25791980619068

Error sum for iteration 1100 = 56.91408877851108

Error sum for iteration 1200 = 56.39359098941861

Error sum for iteration 1300 = 55.78652748673558

Error sum for iteration 1400 = 55.117397627771574

Error sum for iteration 1500 = 54.445218949222344

Error sum for iteration 1600 = 53.808131324601476

Error sum for iteration 1700 = 53.23618966770219

Error sum for iteration 1800 = 52.72116503930108

Error sum for iteration 1900 = 52.27341687480032

Error sum for iteration 2000 = 51.87251356057951

Error sum for iteration 2100 = 51.49914578225102

Error sum for iteration 2200 = 51.14772052198549

Error sum for iteration 2300 = 50.808301797327424

Error sum for iteration 2400 = 50.44810642826517

Error sum for iteration 2500 = 50.0547351488638

Error sum for iteration 2600 = 49.624231709577515

Error sum for iteration 2700 = 49.14458724534356

Error sum for iteration 2800 = 48.62650260663535

Error sum for iteration 2900 = 48.08722138944642

Error sum for iteration 3000 = 47.54510558499604

Error sum for iteration 3100 = 47.0332500731304

Error sum for iteration 3200 = 46.55285051917054

Error sum for iteration 3300 = 46.11970861170116

Error sum for iteration 3400 = 45.73188155117629

Error sum for iteration 3500 = 45.390625859000544

Error sum for iteration 3600 = 45.09495503954519

Error sum for iteration 3700 = 44.842662733555166

Error sum for iteration 3800 = 44.604452098471185

Error sum for iteration 3900 = 44.350349518950104

Error sum for iteration 4000 = 44.06669124800521

Error sum for iteration 4100 = 43.74221938748304

Error sum for iteration 4200 = 43.39022817233559

Error sum for iteration 4300 = 43.027396453382096

Error sum for iteration 4400 = 42.65838330112178

Error sum for iteration 4500 = 42.29283447088409

Error sum for iteration 4600 = 41.92609368202112

Error sum for iteration 4700 = 41.554752909039536

Error sum for iteration 4800 = 41.18221026112995

Error sum for iteration 4900 = 40.81153183936647

Error sum for iteration 5000 = 40.445961389030664

Error sum for iteration 5100 = 40.08260007178188

Error sum for iteration 5200 = 39.72363472780092

Error sum for iteration 5300 = 39.36776146240555

Error sum for iteration 5400 = 39.016523204912716

Error sum for iteration 5500 = 38.679162900418184

Error sum for iteration 5600 = 38.34606266604698

Error sum for iteration 5700 = 38.02139052772053

Error sum for iteration 5800 = 37.70300912414878

Error sum for iteration 5900 = 37.383431996400056

Error sum for iteration 6000 = 37.060305029279256

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	4
	-M	0.01
Input Weights:
	-0.7715859192900987	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	age
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	workclass=Private
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	workclass=Self-emp-not-inc
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	workclass=Self-emp-inc
	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Federal-gov
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Local-gov
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=State-gov
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Without-pay
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Never-worked
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	fnlwgt
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	education=Bachelors
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	education=Some-college
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	education=11th
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	education=HS-grad
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	education=Prof-school
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	education=Assoc-acdm
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=Assoc-voc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	education=9th
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	education=7th-8th
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=12th
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	education=Masters
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	education=1st-4th
	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=10th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	education=Doctorate
	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	education=5th-6th
	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=Preschool
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education-num
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	marital-status=Married-civ-spouse
	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	marital-status=Divorced
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	marital-status=Never-married
	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	marital-status=Separated
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	marital-status=Widowed
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	marital-status=Married-spouse-absent
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	marital-status=Married-AF-spouse
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	occupation=Tech-support
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	occupation=Craft-repair
	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	occupation=Other-service
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	occupation=Sales
	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	occupation=Exec-managerial
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	occupation=Prof-specialty
	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	occupation=Handlers-cleaners
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	occupation=Machine-op-inspct
	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	occupation=Adm-clerical
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	occupation=Farming-fishing
	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	occupation=Transport-moving
	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	occupation=Priv-house-serv
	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Protective-serv
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	occupation=Armed-Forces
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	relationship=Wife
	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	relationship=Own-child
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	relationship=Husband
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	relationship=Not-in-family
	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	relationship=Other-relative
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	relationship=Unmarried
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	race=White
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	race=Asian-Pac-Islander
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	race=Amer-Indian-Eskimo
	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	race=Other
	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	race=Black
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	sex
	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	capital-gain
	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	capital-loss
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	hours-per-week
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	native-country=United-States
	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	native-country=Cambodia
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	native-country=England
	-0.6317487818561391	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	native-country=Puerto-Rico
	-0.7658962827532021	-0.5294362088347506	-0.9410659462797619	0.5492947290811148	native-country=Canada
	-0.6049762561649725	0.019215160068648096	0.41160438205075134	0.48734104678219414	native-country=Germany
	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	native-country=Outlying-US(Guam-USVI-etc)
	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	native-country=India
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	native-country=Japan
	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	native-country=Greece
	0.6074316423894139	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	native-country=South
	0.6901923401815571	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	native-country=China
	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	native-country=Cuba
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=Iran
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	native-country=Honduras
	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	native-country=Philippines
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	native-country=Italy
	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	native-country=Poland
	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	native-country=Jamaica
	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Vietnam
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	native-country=Mexico
	-0.9148225597251407	-0.914211204381709	0.38537479616887094	-0.24343067890472492	native-country=Portugal
	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	0.15940618494233516	native-country=Ireland
	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	native-country=France
	0.5575335538185009	0.8558880673005256	-0.45491738406061355	0.22762921003482028	native-country=Dominican-Republic
	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=Laos
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=Ecuador
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	native-country=Taiwan
	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	0.35709649037128566	native-country=Haiti
	-0.8834037767148772	0.911432859350713	0.227679940232701	0.8551939564234716	native-country=Columbia
	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	native-country=Hungary
	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Guatemala
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	native-country=Nicaragua
	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Scotland
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	native-country=Thailand
	-0.9023589228554334	0.5438514298549799	-0.6408132208614168	-0.669311630734674	native-country=Yugoslavia
	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	0.5595880331830201	native-country=El-Salvador
	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Trinadad&Tobago
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	native-country=Peru
	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	native-country=Hong
	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=Holand-Netherlands
Hidden Weights:
	0.9320115475373028	-0.047197053228220875
	-0.9471836287898745	0.9367874755713848
	0.05270195563226565	-0.4818949596154889
	0.9780968853795882	0.4972320450638834
		>50K		<=50K

Error sum for iteration 100 = 56.0760758826813

Error sum for iteration 200 = 59.4114134710898

Error sum for iteration 300 = 60.04267978480895

Error sum for iteration 400 = 60.99384002940133

Error sum for iteration 500 = 62.01401732442921

Error sum for iteration 600 = 63.06274685244179

Error sum for iteration 700 = 64.19210960045913

Error sum for iteration 800 = 65.31197691840558

Error sum for iteration 900 = 66.25886744293048

Error sum for iteration 1000 = 66.93649474014202

Error sum for iteration 1100 = 67.33503589322804

Error sum for iteration 1200 = 67.51353333773146

Error sum for iteration 1300 = 67.4839758392643

Error sum for iteration 1400 = 67.26809389505182

Error sum for iteration 1500 = 66.86640881834575

Error sum for iteration 1600 = 66.30663668910422

Error sum for iteration 1700 = 65.60444022205584

Error sum for iteration 1800 = 64.75048188297262

Error sum for iteration 1900 = 63.722469378193665

Error sum for iteration 2000 = 62.53765118714571

Error sum for iteration 2100 = 61.2739750622376

Error sum for iteration 2200 = 60.00473006058242

Error sum for iteration 2300 = 58.75633022941049

Error sum for iteration 2400 = 57.50484479366127

Error sum for iteration 2500 = 56.24500233082685

Error sum for iteration 2600 = 54.950998103995516

Error sum for iteration 2700 = 53.6540412340631

Error sum for iteration 2800 = 52.37900595030925

Error sum for iteration 2900 = 51.173108923116324

Error sum for iteration 3000 = 50.02798211734589

Error sum for iteration 3100 = 48.93347209946284

Error sum for iteration 3200 = 47.88199221304107

Error sum for iteration 3300 = 46.86464917277673

Error sum for iteration 3400 = 45.875263294705164

Error sum for iteration 3500 = 44.9153573033323

Error sum for iteration 3600 = 43.99156227015932

Error sum for iteration 3700 = 43.1170931641214

Error sum for iteration 3800 = 42.30218831623133

Error sum for iteration 3900 = 41.544419872243516

Error sum for iteration 4000 = 40.84001440692073

Error sum for iteration 4100 = 40.19967362896347

Error sum for iteration 4200 = 39.616632520102506

Error sum for iteration 4300 = 39.084265349185564

Error sum for iteration 4400 = 38.5907068727963

Error sum for iteration 4500 = 38.135135313750325

Error sum for iteration 4600 = 37.71490293737476

Error sum for iteration 4700 = 37.31682855737142

Error sum for iteration 4800 = 36.93228315029363

Error sum for iteration 4900 = 36.560353397493486

Error sum for iteration 5000 = 36.203890767393894

Error sum for iteration 5100 = 35.86462608055465

Error sum for iteration 5200 = 35.537151633013835

Error sum for iteration 5300 = 35.217270031457815

Error sum for iteration 5400 = 34.90636042102355

Error sum for iteration 5500 = 34.60161591386618

Error sum for iteration 5600 = 34.31505890285589

Error sum for iteration 5700 = 34.02641454521725

Error sum for iteration 5800 = 33.733147905905476

Error sum for iteration 5900 = 33.425259672589966

Error sum for iteration 6000 = 33.10938798331869

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 5
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	5
	-M	0.01
Input Weights:
	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	age
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	workclass=Private
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Self-emp-not-inc
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Self-emp-inc
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Federal-gov
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Local-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=State-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Without-pay
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Never-worked
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	fnlwgt
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Bachelors
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	education=Some-college
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=11th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=HS-grad
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Prof-school
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	education=Assoc-acdm
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Assoc-voc
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	education=9th
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=7th-8th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=12th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Masters
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	education=1st-4th
	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=10th
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=Doctorate
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=5th-6th
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Preschool
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education-num
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	marital-status=Married-civ-spouse
	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	marital-status=Divorced
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	marital-status=Never-married
	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	marital-status=Separated
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	marital-status=Widowed
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	marital-status=Married-spouse-absent
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Married-AF-spouse
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	occupation=Tech-support
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	occupation=Craft-repair
	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	occupation=Other-service
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	occupation=Sales
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Exec-managerial
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	occupation=Prof-specialty
	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Handlers-cleaners
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	occupation=Machine-op-inspct
	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	occupation=Adm-clerical
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	occupation=Farming-fishing
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	occupation=Transport-moving
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	occupation=Priv-house-serv
	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	occupation=Protective-serv
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Armed-Forces
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	relationship=Wife
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	relationship=Own-child
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	relationship=Husband
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	relationship=Not-in-family
	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	relationship=Other-relative
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	relationship=Unmarried
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	race=White
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	race=Asian-Pac-Islander
	-0.9410659462797619	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	race=Amer-Indian-Eskimo
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	race=Other
	-0.12443571812744825	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	race=Black
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	-0.5474016073336645	sex
	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	0.6074316423894139	capital-gain
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	capital-loss
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	hours-per-week
	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=United-States
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Cambodia
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	0.7952327558684493	-0.6213992120483436	native-country=England
	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Puerto-Rico
	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	native-country=Canada
	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Germany
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	native-country=Outlying-US(Guam-USVI-etc)
	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	native-country=India
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	native-country=Japan
	-0.8761984089837553	0.09881519662936755	0.5575335538185009	0.8558880673005256	-0.45491738406061355	native-country=Greece
	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=South
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	native-country=China
	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cuba
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	native-country=Iran
	0.8551939564234716	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	native-country=Honduras
	0.003648279708605484	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Philippines
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	native-country=Italy
	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	-0.28607575974997856	0.8006679380179329	native-country=Poland
	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	0.5438514298549799	native-country=Jamaica
	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=Vietnam
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Mexico
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	native-country=Portugal
	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	native-country=Ireland
	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	native-country=France
	0.9320115475373028	-0.047197053228220875	0.6313180963605327	-0.9471836287898745	0.9367874755713848	native-country=Dominican-Republic
	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	0.4972320450638834	native-country=Laos
	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Ecuador
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	native-country=Taiwan
	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	native-country=Haiti
	0.9688652778693301	-0.4696880908803738	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	native-country=Columbia
	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	0.04983945684562041	0.7777831794389525	native-country=Hungary
	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=Guatemala
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	native-country=Nicaragua
	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Scotland
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	native-country=Thailand
	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=Yugoslavia
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	native-country=El-Salvador
	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	native-country=Trinadad&Tobago
	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	native-country=Peru
	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Hong
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Holand-Netherlands
Hidden Weights:
	-0.34341175157544646	-0.30216707828489486
	0.6944014531062443	0.3264757518009951
	-0.6571909339814437	0.45166852739300145
	0.5250950299631072	0.7412864402736647
	-0.5498266991364553	-0.5922723025807723
		>50K		<=50K

Error sum for iteration 100 = 56.205336742413955

Error sum for iteration 200 = 55.97927763743535

Error sum for iteration 300 = 55.74386933487621

Error sum for iteration 400 = 57.007900152690965

Error sum for iteration 500 = 58.39284277050441

Error sum for iteration 600 = 59.29010391668654

Error sum for iteration 700 = 59.74732232731545

Error sum for iteration 800 = 59.880993391060315

Error sum for iteration 900 = 59.73378268559991

Error sum for iteration 1000 = 59.350901068932735

Error sum for iteration 1100 = 58.743479797036535

Error sum for iteration 1200 = 57.95128092247694

Error sum for iteration 1300 = 56.97774265903404

Error sum for iteration 1400 = 55.8886347027459

Error sum for iteration 1500 = 54.732609056639035

Error sum for iteration 1600 = 53.54449037877909

Error sum for iteration 1700 = 52.36161864234605

Error sum for iteration 1800 = 51.22785518444076

Error sum for iteration 1900 = 50.14573569783879

Error sum for iteration 2000 = 49.11376862851855

Error sum for iteration 2100 = 48.128051908481595

Error sum for iteration 2200 = 47.18127670177487

Error sum for iteration 2300 = 46.27141772276203

Error sum for iteration 2400 = 45.393382909338996

Error sum for iteration 2500 = 44.54636905710644

Error sum for iteration 2600 = 43.73250238889541

Error sum for iteration 2700 = 42.951130613566185

Error sum for iteration 2800 = 42.215060971860865

Error sum for iteration 2900 = 41.52448109902817

Error sum for iteration 3000 = 40.86976787036015

Error sum for iteration 3100 = 40.26501656147924

Error sum for iteration 3200 = 39.69135646245204

Error sum for iteration 3300 = 39.15340138374969

Error sum for iteration 3400 = 38.64935123700793

Error sum for iteration 3500 = 38.18083442423329

Error sum for iteration 3600 = 37.7390780503826

Error sum for iteration 3700 = 37.32495985089025

Error sum for iteration 3800 = 36.93874270283212

Error sum for iteration 3900 = 36.573299129066726

Error sum for iteration 4000 = 36.227895933117246

Error sum for iteration 4100 = 35.91027292365899

Error sum for iteration 4200 = 35.61672227008292

Error sum for iteration 4300 = 35.338972361922764

Error sum for iteration 4400 = 35.075191035295084

Error sum for iteration 4500 = 34.831783967893124

Error sum for iteration 4600 = 34.605939618061186

Error sum for iteration 4700 = 34.39966364436675

Error sum for iteration 4800 = 34.212449283040804

Error sum for iteration 4900 = 34.04083768915444

Error sum for iteration 5000 = 33.885753162292374

Error sum for iteration 5100 = 33.74231736668304

Error sum for iteration 5200 = 33.60698687932221

Error sum for iteration 5300 = 33.47747435867211

Error sum for iteration 5400 = 33.3422937862766

Error sum for iteration 5500 = 33.19321503484894

Error sum for iteration 5600 = 33.021500870973334

Error sum for iteration 5700 = 32.820473289139436

Error sum for iteration 5800 = 32.58783836817921

Error sum for iteration 5900 = 32.32999487694224

Error sum for iteration 6000 = 32.04598653167683

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 5
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	5
	-M	0.01
Input Weights:
	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	age
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	workclass=Private
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Self-emp-not-inc
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Self-emp-inc
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Federal-gov
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Local-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=State-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Without-pay
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Never-worked
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	fnlwgt
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Bachelors
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	education=Some-college
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=11th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=HS-grad
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Prof-school
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	education=Assoc-acdm
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Assoc-voc
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	education=9th
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=7th-8th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=12th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Masters
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	education=1st-4th
	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=10th
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=Doctorate
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=5th-6th
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Preschool
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education-num
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	marital-status=Married-civ-spouse
	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	marital-status=Divorced
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	marital-status=Never-married
	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	marital-status=Separated
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	marital-status=Widowed
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	marital-status=Married-spouse-absent
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Married-AF-spouse
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	occupation=Tech-support
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	occupation=Craft-repair
	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	occupation=Other-service
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	occupation=Sales
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Exec-managerial
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	occupation=Prof-specialty
	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Handlers-cleaners
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	occupation=Machine-op-inspct
	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	occupation=Adm-clerical
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	occupation=Farming-fishing
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	occupation=Transport-moving
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	occupation=Priv-house-serv
	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	occupation=Protective-serv
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Armed-Forces
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	relationship=Wife
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	relationship=Own-child
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	relationship=Husband
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	relationship=Not-in-family
	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	relationship=Other-relative
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	relationship=Unmarried
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	race=White
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	race=Asian-Pac-Islander
	-0.9410659462797619	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	race=Amer-Indian-Eskimo
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	race=Other
	-0.12443571812744825	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	race=Black
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	-0.5474016073336645	sex
	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	0.6074316423894139	capital-gain
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	capital-loss
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	hours-per-week
	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=United-States
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Cambodia
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	0.7952327558684493	-0.6213992120483436	native-country=England
	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Puerto-Rico
	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	native-country=Canada
	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Germany
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	native-country=Outlying-US(Guam-USVI-etc)
	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	native-country=India
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	native-country=Japan
	-0.8761984089837553	0.09881519662936755	0.5575335538185009	0.8558880673005256	-0.45491738406061355	native-country=Greece
	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=South
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	native-country=China
	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cuba
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	native-country=Iran
	0.8551939564234716	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	native-country=Honduras
	0.003648279708605484	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Philippines
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	native-country=Italy
	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	-0.28607575974997856	0.8006679380179329	native-country=Poland
	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	0.5438514298549799	native-country=Jamaica
	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=Vietnam
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Mexico
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	native-country=Portugal
	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	native-country=Ireland
	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	native-country=France
	0.9320115475373028	-0.047197053228220875	0.6313180963605327	-0.9471836287898745	0.9367874755713848	native-country=Dominican-Republic
	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	0.4972320450638834	native-country=Laos
	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Ecuador
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	native-country=Taiwan
	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	native-country=Haiti
	0.9688652778693301	-0.4696880908803738	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	native-country=Columbia
	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	0.04983945684562041	0.7777831794389525	native-country=Hungary
	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=Guatemala
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	native-country=Nicaragua
	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Scotland
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	native-country=Thailand
	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=Yugoslavia
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	native-country=El-Salvador
	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	native-country=Trinadad&Tobago
	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	native-country=Peru
	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Hong
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Holand-Netherlands
Hidden Weights:
	-0.34341175157544646	-0.30216707828489486
	0.6944014531062443	0.3264757518009951
	-0.6571909339814437	0.45166852739300145
	0.5250950299631072	0.7412864402736647
	-0.5498266991364553	-0.5922723025807723
		>50K		<=50K

Error sum for iteration 100 = 55.51879884286239

Error sum for iteration 200 = 55.83258502385048

Error sum for iteration 300 = 55.677403463329206

Error sum for iteration 400 = 55.817013156148725

Error sum for iteration 500 = 56.36431557345679

Error sum for iteration 600 = 57.138801837924284

Error sum for iteration 700 = 57.936375647972646

Error sum for iteration 800 = 58.60483405668931

Error sum for iteration 900 = 59.07797037249774

Error sum for iteration 1000 = 59.329816607404055

Error sum for iteration 1100 = 59.31473992885818

Error sum for iteration 1200 = 59.03467744688376

Error sum for iteration 1300 = 58.51673881268942

Error sum for iteration 1400 = 57.80358062160409

Error sum for iteration 1500 = 56.9376529573888

Error sum for iteration 1600 = 55.97356471708652

Error sum for iteration 1700 = 54.934663081581675

Error sum for iteration 1800 = 53.88086661686575

Error sum for iteration 1900 = 52.874833424021574

Error sum for iteration 2000 = 51.94562108194671

Error sum for iteration 2100 = 51.07688922012074

Error sum for iteration 2200 = 50.27121350383511

Error sum for iteration 2300 = 49.516015829832384

Error sum for iteration 2400 = 48.81077386211505

Error sum for iteration 2500 = 48.13535531136999

Error sum for iteration 2600 = 47.48618240994746

Error sum for iteration 2700 = 46.86036501543876

Error sum for iteration 2800 = 46.24532006227409

Error sum for iteration 2900 = 45.63344580181988

Error sum for iteration 3000 = 45.028181181660216

Error sum for iteration 3100 = 44.43184459125148

Error sum for iteration 3200 = 43.82357436484428

Error sum for iteration 3300 = 43.20742898197904

Error sum for iteration 3400 = 42.580130135613594

Error sum for iteration 3500 = 41.93913975756449

Error sum for iteration 3600 = 41.273668561353944

Error sum for iteration 3700 = 40.58689651231361

Error sum for iteration 3800 = 39.897476609656636

Error sum for iteration 3900 = 39.21037943208807

Error sum for iteration 4000 = 38.51348485176518

Error sum for iteration 4100 = 37.81066264746967

Error sum for iteration 4200 = 37.124489086654805

Error sum for iteration 4300 = 36.44311236504036

Error sum for iteration 4400 = 35.766636922199694

Error sum for iteration 4500 = 35.10512407037213

Error sum for iteration 4600 = 34.47516938787655

Error sum for iteration 4700 = 33.88228311492161

Error sum for iteration 4800 = 33.33496154056133

Error sum for iteration 4900 = 32.82287486931163

Error sum for iteration 5000 = 32.34969344951007

Error sum for iteration 5100 = 31.924086439305274

Error sum for iteration 5200 = 31.535275587560058

Error sum for iteration 5300 = 31.177997336730296

Error sum for iteration 5400 = 30.846206732979283

Error sum for iteration 5500 = 30.53343081175056

Error sum for iteration 5600 = 30.23488109382867

Error sum for iteration 5700 = 29.949590693277177

Error sum for iteration 5800 = 29.674162410997745

Error sum for iteration 5900 = 29.409789711027784

Error sum for iteration 6000 = 29.170088940013297

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 5
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	5
	-M	0.01
Input Weights:
	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	age
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	workclass=Private
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Self-emp-not-inc
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Self-emp-inc
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Federal-gov
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Local-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=State-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Without-pay
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Never-worked
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	fnlwgt
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Bachelors
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	education=Some-college
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=11th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=HS-grad
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Prof-school
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	education=Assoc-acdm
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Assoc-voc
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	education=9th
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=7th-8th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=12th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Masters
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	education=1st-4th
	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=10th
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=Doctorate
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=5th-6th
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Preschool
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education-num
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	marital-status=Married-civ-spouse
	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	marital-status=Divorced
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	marital-status=Never-married
	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	marital-status=Separated
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	marital-status=Widowed
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	marital-status=Married-spouse-absent
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Married-AF-spouse
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	occupation=Tech-support
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	occupation=Craft-repair
	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	occupation=Other-service
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	occupation=Sales
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Exec-managerial
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	occupation=Prof-specialty
	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Handlers-cleaners
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	occupation=Machine-op-inspct
	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	occupation=Adm-clerical
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	occupation=Farming-fishing
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	occupation=Transport-moving
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	occupation=Priv-house-serv
	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	occupation=Protective-serv
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Armed-Forces
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	relationship=Wife
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	relationship=Own-child
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	relationship=Husband
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	relationship=Not-in-family
	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	relationship=Other-relative
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	relationship=Unmarried
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	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	race=Asian-Pac-Islander
	-0.9410659462797619	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	race=Amer-Indian-Eskimo
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	race=Other
	-0.12443571812744825	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	race=Black
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	-0.5474016073336645	sex
	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	0.6074316423894139	capital-gain
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	capital-loss
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	hours-per-week
	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=United-States
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Cambodia
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	0.7952327558684493	-0.6213992120483436	native-country=England
	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Puerto-Rico
	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	native-country=Canada
	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Germany
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	native-country=Outlying-US(Guam-USVI-etc)
	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	native-country=India
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	native-country=Japan
	-0.8761984089837553	0.09881519662936755	0.5575335538185009	0.8558880673005256	-0.45491738406061355	native-country=Greece
	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=South
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	native-country=China
	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cuba
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	native-country=Iran
	0.8551939564234716	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	native-country=Honduras
	0.003648279708605484	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Philippines
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	native-country=Italy
	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	-0.28607575974997856	0.8006679380179329	native-country=Poland
	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	0.5438514298549799	native-country=Jamaica
	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=Vietnam
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Mexico
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	native-country=Portugal
	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	native-country=Ireland
	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	native-country=France
	0.9320115475373028	-0.047197053228220875	0.6313180963605327	-0.9471836287898745	0.9367874755713848	native-country=Dominican-Republic
	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	0.4972320450638834	native-country=Laos
	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Ecuador
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	native-country=Taiwan
	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	native-country=Haiti
	0.9688652778693301	-0.4696880908803738	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	native-country=Columbia
	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	0.04983945684562041	0.7777831794389525	native-country=Hungary
	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=Guatemala
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	native-country=Nicaragua
	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Scotland
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	native-country=Thailand
	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=Yugoslavia
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	native-country=El-Salvador
	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	native-country=Trinadad&Tobago
	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	native-country=Peru
	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Hong
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Holand-Netherlands
Hidden Weights:
	-0.34341175157544646	-0.30216707828489486
	0.6944014531062443	0.3264757518009951
	-0.6571909339814437	0.45166852739300145
	0.5250950299631072	0.7412864402736647
	-0.5498266991364553	-0.5922723025807723
		>50K		<=50K

Error sum for iteration 100 = 55.37857855315804

Error sum for iteration 200 = 54.55987896570373

Error sum for iteration 300 = 54.060687617215926

Error sum for iteration 400 = 55.2977834858905

Error sum for iteration 500 = 56.77875772759269

Error sum for iteration 600 = 57.66434059751661

Error sum for iteration 700 = 58.22956181275499

Error sum for iteration 800 = 58.49925318247255

Error sum for iteration 900 = 58.425703612072255

Error sum for iteration 1000 = 58.02613055866303

Error sum for iteration 1100 = 57.33308218630641

Error sum for iteration 1200 = 56.42868300360905

Error sum for iteration 1300 = 55.42151125360482

Error sum for iteration 1400 = 54.400697397405395

Error sum for iteration 1500 = 53.390949258324106

Error sum for iteration 1600 = 52.422368325510355

Error sum for iteration 1700 = 51.5072366611013

Error sum for iteration 1800 = 50.66300834859954

Error sum for iteration 1900 = 49.90153288565358

Error sum for iteration 2000 = 49.21751493032834

Error sum for iteration 2100 = 48.58020241947702

Error sum for iteration 2200 = 47.972744777324834

Error sum for iteration 2300 = 47.40684684184783

Error sum for iteration 2400 = 46.88057544150889

Error sum for iteration 2500 = 46.39537700116451

Error sum for iteration 2600 = 45.96867535471375

Error sum for iteration 2700 = 45.61548580571662

Error sum for iteration 2800 = 45.3529449083199

Error sum for iteration 2900 = 45.184404040066255

Error sum for iteration 3000 = 45.09790958976138

Error sum for iteration 3100 = 45.0209821750739

Error sum for iteration 3200 = 44.9087897448712

Error sum for iteration 3300 = 44.77290579300397

Error sum for iteration 3400 = 44.567658937816454

Error sum for iteration 3500 = 44.31823856841373

Error sum for iteration 3600 = 44.050753072838

Error sum for iteration 3700 = 43.78889823380288

Error sum for iteration 3800 = 43.529508656962

Error sum for iteration 3900 = 43.26504166125612

Error sum for iteration 4000 = 43.01697935706771

Error sum for iteration 4100 = 42.76925624639081

Error sum for iteration 4200 = 42.50785190735252

Error sum for iteration 4300 = 42.232128274041436

Error sum for iteration 4400 = 41.93368683315524

Error sum for iteration 4500 = 41.622654394559646

Error sum for iteration 4600 = 41.30465844433952

Error sum for iteration 4700 = 40.98065542088625

Error sum for iteration 4800 = 40.65599359784517

Error sum for iteration 4900 = 40.31817194473262

Error sum for iteration 5000 = 39.975330471708695

Error sum for iteration 5100 = 39.63891234158567

Error sum for iteration 5200 = 39.307530604821316

Error sum for iteration 5300 = 38.97528996529308

Error sum for iteration 5400 = 38.64352547581934

Error sum for iteration 5500 = 38.316866401531904

Error sum for iteration 5600 = 37.98867788388165

Error sum for iteration 5700 = 37.66214509540877

Error sum for iteration 5800 = 37.34217293003384

Error sum for iteration 5900 = 37.02647297556805

Error sum for iteration 6000 = 36.719482030156705

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 5
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	5
	-M	0.01
Input Weights:
	-0.9927062271272413	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	age
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	workclass=Private
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Self-emp-not-inc
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Self-emp-inc
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Federal-gov
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Local-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=State-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Without-pay
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Never-worked
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	fnlwgt
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	education=Bachelors
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	education=Some-college
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=11th
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	education=HS-grad
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Prof-school
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	education=Assoc-acdm
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Assoc-voc
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	education=9th
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=7th-8th
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=12th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Masters
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	education=1st-4th
	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=10th
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=Doctorate
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=5th-6th
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Preschool
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education-num
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	marital-status=Married-civ-spouse
	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	marital-status=Divorced
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	marital-status=Never-married
	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	marital-status=Separated
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	marital-status=Widowed
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	marital-status=Married-spouse-absent
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Married-AF-spouse
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	occupation=Tech-support
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	occupation=Craft-repair
	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	occupation=Other-service
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	occupation=Sales
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	occupation=Exec-managerial
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	occupation=Prof-specialty
	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Handlers-cleaners
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	occupation=Machine-op-inspct
	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	occupation=Adm-clerical
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	occupation=Farming-fishing
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	occupation=Transport-moving
	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	occupation=Priv-house-serv
	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	occupation=Protective-serv
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Armed-Forces
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	relationship=Wife
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	relationship=Own-child
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	relationship=Husband
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	relationship=Not-in-family
	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	relationship=Other-relative
	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	relationship=Unmarried
	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	race=White
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	race=Asian-Pac-Islander
	-0.9410659462797619	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	race=Amer-Indian-Eskimo
	0.48734104678219414	0.6287556352557706	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	race=Other
	-0.12443571812744825	-0.8178871821872982	0.5706033975283389	0.6635075575906735	-0.8938792692993409	race=Black
	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	-0.5474016073336645	sex
	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	0.6074316423894139	capital-gain
	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	capital-loss
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	hours-per-week
	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	native-country=United-States
	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	native-country=Cambodia
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	0.7952327558684493	-0.6213992120483436	native-country=England
	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	native-country=Puerto-Rico
	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	native-country=Canada
	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	native-country=Germany
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	native-country=Outlying-US(Guam-USVI-etc)
	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	native-country=India
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	native-country=Japan
	-0.8761984089837553	0.09881519662936755	0.5575335538185009	0.8558880673005256	-0.45491738406061355	native-country=Greece
	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	native-country=South
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	native-country=China
	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cuba
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	native-country=Iran
	0.8551939564234716	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	native-country=Honduras
	0.003648279708605484	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	native-country=Philippines
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	native-country=Italy
	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	-0.28607575974997856	0.8006679380179329	native-country=Poland
	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	0.5438514298549799	native-country=Jamaica
	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=Vietnam
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	native-country=Mexico
	0.6750946494637677	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	native-country=Portugal
	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	native-country=Ireland
	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	native-country=France
	0.9320115475373028	-0.047197053228220875	0.6313180963605327	-0.9471836287898745	0.9367874755713848	native-country=Dominican-Republic
	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	0.4972320450638834	native-country=Laos
	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Ecuador
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	native-country=Taiwan
	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	native-country=Haiti
	0.9688652778693301	-0.4696880908803738	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	native-country=Columbia
	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	0.04983945684562041	0.7777831794389525	native-country=Hungary
	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=Guatemala
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	native-country=Nicaragua
	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Scotland
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	native-country=Thailand
	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=Yugoslavia
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	native-country=El-Salvador
	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	native-country=Trinadad&Tobago
	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	native-country=Peru
	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Hong
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Holand-Netherlands
Hidden Weights:
	-0.34341175157544646	-0.30216707828489486
	0.6944014531062443	0.3264757518009951
	-0.6571909339814437	0.45166852739300145
	0.5250950299631072	0.7412864402736647
	-0.5498266991364553	-0.5922723025807723
		>50K		<=50K

Error sum for iteration 100 = 56.905550334701154

Error sum for iteration 200 = 57.51423669747619

Error sum for iteration 300 = 58.52329713123269

Error sum for iteration 400 = 60.1882869247764

Error sum for iteration 500 = 62.36607025091253

Error sum for iteration 600 = 64.06580238334199

Error sum for iteration 700 = 64.96980106913928

Error sum for iteration 800 = 65.28364040431102

Error sum for iteration 900 = 65.0998250227607

Error sum for iteration 1000 = 64.48344445499647

Error sum for iteration 1100 = 63.54858067126499

Error sum for iteration 1200 = 62.35903534050318

Error sum for iteration 1300 = 61.04868314183604

Error sum for iteration 1400 = 59.68366534870066

Error sum for iteration 1500 = 58.3060595560403

Error sum for iteration 1600 = 56.90762979783328

Error sum for iteration 1700 = 55.51607005276239

Error sum for iteration 1800 = 54.14617455780197

Error sum for iteration 1900 = 52.78854819903303

Error sum for iteration 2000 = 51.450999761742416

Error sum for iteration 2100 = 50.15928313891138

Error sum for iteration 2200 = 48.959493332851395

Error sum for iteration 2300 = 47.86024996908258

Error sum for iteration 2400 = 46.82455943231638

Error sum for iteration 2500 = 45.823479914113165

Error sum for iteration 2600 = 44.8687481747634

Error sum for iteration 2700 = 43.962813626970416

Error sum for iteration 2800 = 43.100445066158564

Error sum for iteration 2900 = 42.32624736332356

Error sum for iteration 3000 = 41.58534648778862

Error sum for iteration 3100 = 40.8798275584069

Error sum for iteration 3200 = 40.21552054925789

Error sum for iteration 3300 = 39.58213058227207

Error sum for iteration 3400 = 38.9815781793533

Error sum for iteration 3500 = 38.43196805407

Error sum for iteration 3600 = 37.92021707539724

Error sum for iteration 3700 = 37.446290236982165

Error sum for iteration 3800 = 37.00972721151648

Error sum for iteration 3900 = 36.61004419444731

Error sum for iteration 4000 = 36.250901787379554

Error sum for iteration 4100 = 35.91455217581039

Error sum for iteration 4200 = 35.60439085106484

Error sum for iteration 4300 = 35.30081370610546

Error sum for iteration 4400 = 35.0162885950303

Error sum for iteration 4500 = 34.72849356534084

Error sum for iteration 4600 = 34.440691595623115

Error sum for iteration 4700 = 34.15370595390414

Error sum for iteration 4800 = 33.86401389950882

Error sum for iteration 4900 = 33.57462361183554

Error sum for iteration 5000 = 33.288530281485244

Error sum for iteration 5100 = 33.01571550297271

Error sum for iteration 5200 = 32.75635310872521

Error sum for iteration 5300 = 32.50782820393932

Error sum for iteration 5400 = 32.274242421478554

Error sum for iteration 5500 = 32.056791801637864

Error sum for iteration 5600 = 31.84075966437802

Error sum for iteration 5700 = 31.6313467137719

Error sum for iteration 5800 = 31.428532578824157

Error sum for iteration 5900 = 31.225092115348843

Error sum for iteration 6000 = 31.01666490211444

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 6
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	6
	-M	0.01
Input Weights:
	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	age
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	workclass=Private
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Self-emp-not-inc
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Self-emp-inc
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Federal-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	workclass=Local-gov
	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=State-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Without-pay
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Never-worked
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	fnlwgt
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=Bachelors
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	education=Some-college
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	education=11th
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=HS-grad
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=Prof-school
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	education=Assoc-acdm
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=Assoc-voc
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	education=9th
	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=7th-8th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	education=12th
	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=Masters
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	education=1st-4th
	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=10th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	education=Doctorate
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	education=5th-6th
	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=Preschool
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	education-num
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	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Divorced
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	marital-status=Never-married
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	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	marital-status=Widowed
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	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Tech-support
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	occupation=Craft-repair
	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	occupation=Other-service
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	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	occupation=Prof-specialty
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	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	-0.9148225597251407	sex
	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	capital-gain
	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	0.09881519662936755	capital-loss
	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	hours-per-week
	0.9296508848422738	-0.631967546246514	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=United-States
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cambodia
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	0.227679940232701	native-country=England
	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	0.003648279708605484	native-country=Puerto-Rico
	0.3189379779425985	-0.3827106168967216	0.6860369951996548	-0.6426074171673759	0.24572751459672304	-0.5574594112356916	native-country=Canada
	-0.6602447919317207	-0.10052042773080472	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Germany
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	native-country=Outlying-US(Guam-USVI-etc)
	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=India
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	native-country=Japan
	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	native-country=Greece
	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=South
	-0.8657125194316448	-0.22044544605440164	0.8747836081776623	0.9320115475373028	-0.047197053228220875	0.6313180963605327	native-country=China
	0.9367874755713848	-0.14064626439746286	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	native-country=Cuba
	0.48715554239523184	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Iran
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	-0.4665669013646463	native-country=Honduras
	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Philippines
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	native-country=Italy
	0.04983945684562041	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	native-country=Poland
	-0.7465277517183853	0.7648202716505279	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	native-country=Jamaica
	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Vietnam
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	native-country=Mexico
	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	0.10719189466556323	-0.3204010671871953	native-country=Portugal
	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	native-country=Ireland
	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=France
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	native-country=Dominican-Republic
	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Laos
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	native-country=Ecuador
	0.3264757518009951	0.36544645812895515	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	native-country=Taiwan
	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	-0.7862069983684246	native-country=Haiti
	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	native-country=Columbia
	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	native-country=Hungary
	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Guatemala
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	native-country=Nicaragua
	-0.8662842890947764	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	native-country=Scotland
	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	native-country=Thailand
	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Yugoslavia
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	native-country=El-Salvador
	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	0.6455800012008159	0.9203391922080992	native-country=Trinadad&Tobago
	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	0.8481496020590713	native-country=Peru
	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Hong
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	native-country=Holand-Netherlands
Hidden Weights:
	-0.6985488034200096	0.773351782230306
	0.9559943069674117	-0.6274762440161006
	0.07990108276576846	0.29053558085542663
	-0.47232280572575047	-4.3315144225442026E-4
	0.7014815742450002	0.30035031741385243
	0.38069151077637553	0.04902375973429929
		>50K		<=50K

Error sum for iteration 100 = 57.41747645375546

Error sum for iteration 200 = 58.06947839766518

Error sum for iteration 300 = 58.12339099406749

Error sum for iteration 400 = 58.96797837729051

Error sum for iteration 500 = 59.573993787575986

Error sum for iteration 600 = 59.76607975064781

Error sum for iteration 700 = 59.70075657956454

Error sum for iteration 800 = 59.48855876407763

Error sum for iteration 900 = 59.18908008064932

Error sum for iteration 1000 = 58.844115435767634

Error sum for iteration 1100 = 58.47601588924797

Error sum for iteration 1200 = 58.121608761245604

Error sum for iteration 1300 = 57.824600613398566

Error sum for iteration 1400 = 57.608100142255935

Error sum for iteration 1500 = 57.43327304728664

Error sum for iteration 1600 = 57.23079369308775

Error sum for iteration 1700 = 56.92576316279259

Error sum for iteration 1800 = 56.4385893008176

Error sum for iteration 1900 = 55.77334971237016

Error sum for iteration 2000 = 54.98798298685742

Error sum for iteration 2100 = 54.08352458914554

Error sum for iteration 2200 = 53.054893988817135

Error sum for iteration 2300 = 51.93344592532431

Error sum for iteration 2400 = 50.72436216817582

Error sum for iteration 2500 = 49.44899296576434

Error sum for iteration 2600 = 48.137432821621424

Error sum for iteration 2700 = 46.81443411167927

Error sum for iteration 2800 = 45.51151877465859

Error sum for iteration 2900 = 44.22029660184229

Error sum for iteration 3000 = 42.94300869625005

Error sum for iteration 3100 = 41.69029306892491

Error sum for iteration 3200 = 40.473925639541

Error sum for iteration 3300 = 39.30402429924483

Error sum for iteration 3400 = 38.19256753070867

Error sum for iteration 3500 = 37.13972556011435

Error sum for iteration 3600 = 36.148170369307415

Error sum for iteration 3700 = 35.221717329112636

Error sum for iteration 3800 = 34.358697417995714

Error sum for iteration 3900 = 33.566722613107984

Error sum for iteration 4000 = 32.847647341821975

Error sum for iteration 4100 = 32.19018415135914

Error sum for iteration 4200 = 31.584469604220075

Error sum for iteration 4300 = 31.02501985380833

Error sum for iteration 4400 = 30.503790406672792

Error sum for iteration 4500 = 30.019247552465675

Error sum for iteration 4600 = 29.570589382583243

Error sum for iteration 4700 = 29.153544473477893

Error sum for iteration 4800 = 28.75605165208511

Error sum for iteration 4900 = 28.37551253705689

Error sum for iteration 5000 = 28.015386467694825

Error sum for iteration 5100 = 27.669679199835176

Error sum for iteration 5200 = 27.34248936618473

Error sum for iteration 5300 = 27.036465794411992

Error sum for iteration 5400 = 26.745740193752287

Error sum for iteration 5500 = 26.463909851685866

Error sum for iteration 5600 = 26.189753873043017

Error sum for iteration 5700 = 25.928799979041248

Error sum for iteration 5800 = 25.67911365439689

Error sum for iteration 5900 = 25.439589499296527

Error sum for iteration 6000 = 25.20611398722686

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 6
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	6
	-M	0.01
Input Weights:
	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	age
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	workclass=Private
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Self-emp-not-inc
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Self-emp-inc
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Federal-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	workclass=Local-gov
	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=State-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Without-pay
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Never-worked
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	fnlwgt
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=Bachelors
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	education=Some-college
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	education=11th
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=HS-grad
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=Prof-school
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	education=Assoc-acdm
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=Assoc-voc
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	education=9th
	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=7th-8th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	education=12th
	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=Masters
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	education=1st-4th
	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=10th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	education=Doctorate
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	education=5th-6th
	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=Preschool
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	education-num
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	marital-status=Married-civ-spouse
	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Divorced
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	marital-status=Never-married
	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	marital-status=Separated
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	marital-status=Widowed
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	marital-status=Married-spouse-absent
	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	marital-status=Married-AF-spouse
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Tech-support
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	occupation=Craft-repair
	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	occupation=Other-service
	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	occupation=Sales
	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	occupation=Exec-managerial
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	occupation=Prof-specialty
	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Handlers-cleaners
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	occupation=Machine-op-inspct
	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	occupation=Adm-clerical
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	occupation=Farming-fishing
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	occupation=Transport-moving
	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	occupation=Priv-house-serv
	0.9256631212695201	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	occupation=Protective-serv
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	-0.5294362088347506	occupation=Armed-Forces
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	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	-0.8178871821872982	relationship=Own-child
	0.6635075575906735	-0.8938792692993409	-0.09596330219563964	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	relationship=Husband
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	relationship=Not-in-family
	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	relationship=Other-relative
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	relationship=Unmarried
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	race=White
	0.035690157518592835	0.41989555522131616	0.021686146344013002	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	race=Asian-Pac-Islander
	0.7952327558684493	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	0.734109088760442	race=Amer-Indian-Eskimo
	-0.7619560255279945	-0.5569524920988693	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	race=Other
	-0.833067346727385	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	race=Black
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	-0.9148225597251407	sex
	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	capital-gain
	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	0.09881519662936755	capital-loss
	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	hours-per-week
	0.9296508848422738	-0.631967546246514	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=United-States
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cambodia
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	0.227679940232701	native-country=England
	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	0.003648279708605484	native-country=Puerto-Rico
	0.3189379779425985	-0.3827106168967216	0.6860369951996548	-0.6426074171673759	0.24572751459672304	-0.5574594112356916	native-country=Canada
	-0.6602447919317207	-0.10052042773080472	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Germany
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	native-country=Outlying-US(Guam-USVI-etc)
	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=India
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	native-country=Japan
	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	native-country=Greece
	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=South
	-0.8657125194316448	-0.22044544605440164	0.8747836081776623	0.9320115475373028	-0.047197053228220875	0.6313180963605327	native-country=China
	0.9367874755713848	-0.14064626439746286	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	native-country=Cuba
	0.48715554239523184	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Iran
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	-0.4665669013646463	native-country=Honduras
	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Philippines
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	native-country=Italy
	0.04983945684562041	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	native-country=Poland
	-0.7465277517183853	0.7648202716505279	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	native-country=Jamaica
	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Vietnam
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	native-country=Mexico
	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	0.10719189466556323	-0.3204010671871953	native-country=Portugal
	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	native-country=Ireland
	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=France
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	native-country=Dominican-Republic
	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Laos
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	native-country=Ecuador
	0.3264757518009951	0.36544645812895515	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	native-country=Taiwan
	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	-0.7862069983684246	native-country=Haiti
	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	native-country=Columbia
	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	native-country=Hungary
	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Guatemala
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	native-country=Nicaragua
	-0.8662842890947764	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	native-country=Scotland
	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	native-country=Thailand
	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Yugoslavia
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	native-country=El-Salvador
	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	0.6455800012008159	0.9203391922080992	native-country=Trinadad&Tobago
	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	0.8481496020590713	native-country=Peru
	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Hong
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	native-country=Holand-Netherlands
Hidden Weights:
	-0.6985488034200096	0.773351782230306
	0.9559943069674117	-0.6274762440161006
	0.07990108276576846	0.29053558085542663
	-0.47232280572575047	-4.3315144225442026E-4
	0.7014815742450002	0.30035031741385243
	0.38069151077637553	0.04902375973429929
		>50K		<=50K

Error sum for iteration 100 = 56.68735010320629

Error sum for iteration 200 = 57.42928928819682

Error sum for iteration 300 = 55.34171383308672

Error sum for iteration 400 = 54.28071984908985

Error sum for iteration 500 = 53.77492254229845

Error sum for iteration 600 = 53.54485615623631

Error sum for iteration 700 = 53.47728628989887

Error sum for iteration 800 = 53.57706886504895

Error sum for iteration 900 = 53.79507298808368

Error sum for iteration 1000 = 54.07387629556808

Error sum for iteration 1100 = 54.41968559495437

Error sum for iteration 1200 = 54.84009554712452

Error sum for iteration 1300 = 55.3383350762436

Error sum for iteration 1400 = 55.89417086555908

Error sum for iteration 1500 = 56.50576716175622

Error sum for iteration 1600 = 57.1618889806134

Error sum for iteration 1700 = 57.8326518399677

Error sum for iteration 1800 = 58.465484693688204

Error sum for iteration 1900 = 58.943146796033844

Error sum for iteration 2000 = 59.12786849649987

Error sum for iteration 2100 = 58.91683057826841

Error sum for iteration 2200 = 58.39327879973377

Error sum for iteration 2300 = 57.65590047279351

Error sum for iteration 2400 = 56.782038611965824

Error sum for iteration 2500 = 55.83378604879049

Error sum for iteration 2600 = 54.876279695197404

Error sum for iteration 2700 = 53.9544862905863

Error sum for iteration 2800 = 53.11644563225305

Error sum for iteration 2900 = 52.4187441909138

Error sum for iteration 3000 = 51.94042786877681

Error sum for iteration 3100 = 51.523655329696226

Error sum for iteration 3200 = 50.826027001847294

Error sum for iteration 3300 = 49.85180770697975

Error sum for iteration 3400 = 48.76155228015555

Error sum for iteration 3500 = 47.668204191473926

Error sum for iteration 3600 = 46.57915951258107

Error sum for iteration 3700 = 45.51222267244681

Error sum for iteration 3800 = 44.45133162117449

Error sum for iteration 3900 = 43.4225007816548

Error sum for iteration 4000 = 42.4144232550079

Error sum for iteration 4100 = 41.417384158860465

Error sum for iteration 4200 = 40.43759837074597

Error sum for iteration 4300 = 39.49823832175457

Error sum for iteration 4400 = 38.60239921645597

Error sum for iteration 4500 = 37.74773818600911

Error sum for iteration 4600 = 36.95359055679074

Error sum for iteration 4700 = 36.203905840821385

Error sum for iteration 4800 = 35.51725580008035

Error sum for iteration 4900 = 34.86976513975853

Error sum for iteration 5000 = 34.25417090141584

Error sum for iteration 5100 = 33.67990942150359

Error sum for iteration 5200 = 33.15367504521407

Error sum for iteration 5300 = 32.66481500577792

Error sum for iteration 5400 = 32.2023416696362

Error sum for iteration 5500 = 31.764347549371063

Error sum for iteration 5600 = 31.352808242777733

Error sum for iteration 5700 = 30.968459896823205

Error sum for iteration 5800 = 30.609588563725215

Error sum for iteration 5900 = 30.262309024244136

Error sum for iteration 6000 = 29.930144454445845

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 6
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	6
	-M	0.01
Input Weights:
	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	age
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	workclass=Private
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Self-emp-not-inc
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Self-emp-inc
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Federal-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	workclass=Local-gov
	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=State-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Without-pay
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Never-worked
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	fnlwgt
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=Bachelors
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	education=Some-college
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	education=11th
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=HS-grad
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=Prof-school
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	education=Assoc-acdm
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=Assoc-voc
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	education=9th
	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=7th-8th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	education=12th
	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=Masters
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	education=1st-4th
	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=10th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	education=Doctorate
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	education=5th-6th
	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=Preschool
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	education-num
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	marital-status=Married-civ-spouse
	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Divorced
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	marital-status=Never-married
	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	marital-status=Separated
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	marital-status=Widowed
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	marital-status=Married-spouse-absent
	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	marital-status=Married-AF-spouse
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Tech-support
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	occupation=Craft-repair
	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	occupation=Other-service
	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	occupation=Sales
	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	occupation=Exec-managerial
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	occupation=Prof-specialty
	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Handlers-cleaners
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	occupation=Machine-op-inspct
	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	occupation=Adm-clerical
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	occupation=Farming-fishing
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	occupation=Transport-moving
	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	occupation=Priv-house-serv
	0.9256631212695201	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	occupation=Protective-serv
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	-0.5294362088347506	occupation=Armed-Forces
	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	0.41160438205075134	0.48734104678219414	relationship=Wife
	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	-0.8178871821872982	relationship=Own-child
	0.6635075575906735	-0.8938792692993409	-0.09596330219563964	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	relationship=Husband
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	relationship=Not-in-family
	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	relationship=Other-relative
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	relationship=Unmarried
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	race=White
	0.035690157518592835	0.41989555522131616	0.021686146344013002	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	race=Asian-Pac-Islander
	0.7952327558684493	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	0.734109088760442	race=Amer-Indian-Eskimo
	-0.7619560255279945	-0.5569524920988693	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	race=Other
	-0.833067346727385	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	race=Black
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	-0.9148225597251407	sex
	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	capital-gain
	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	0.09881519662936755	capital-loss
	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	hours-per-week
	0.9296508848422738	-0.631967546246514	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=United-States
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cambodia
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	0.227679940232701	native-country=England
	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	0.003648279708605484	native-country=Puerto-Rico
	0.3189379779425985	-0.3827106168967216	0.6860369951996548	-0.6426074171673759	0.24572751459672304	-0.5574594112356916	native-country=Canada
	-0.6602447919317207	-0.10052042773080472	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Germany
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	native-country=Outlying-US(Guam-USVI-etc)
	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=India
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	native-country=Japan
	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	native-country=Greece
	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=South
	-0.8657125194316448	-0.22044544605440164	0.8747836081776623	0.9320115475373028	-0.047197053228220875	0.6313180963605327	native-country=China
	0.9367874755713848	-0.14064626439746286	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	native-country=Cuba
	0.48715554239523184	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Iran
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	-0.4665669013646463	native-country=Honduras
	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Philippines
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	native-country=Italy
	0.04983945684562041	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	native-country=Poland
	-0.7465277517183853	0.7648202716505279	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	native-country=Jamaica
	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Vietnam
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	native-country=Mexico
	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	0.10719189466556323	-0.3204010671871953	native-country=Portugal
	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	native-country=Ireland
	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=France
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	native-country=Dominican-Republic
	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Laos
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	native-country=Ecuador
	0.3264757518009951	0.36544645812895515	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	native-country=Taiwan
	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	-0.7862069983684246	native-country=Haiti
	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	native-country=Columbia
	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	native-country=Hungary
	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Guatemala
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	native-country=Nicaragua
	-0.8662842890947764	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	native-country=Scotland
	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	native-country=Thailand
	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Yugoslavia
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	native-country=El-Salvador
	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	0.6455800012008159	0.9203391922080992	native-country=Trinadad&Tobago
	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	0.8481496020590713	native-country=Peru
	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Hong
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	native-country=Holand-Netherlands
Hidden Weights:
	-0.6985488034200096	0.773351782230306
	0.9559943069674117	-0.6274762440161006
	0.07990108276576846	0.29053558085542663
	-0.47232280572575047	-4.3315144225442026E-4
	0.7014815742450002	0.30035031741385243
	0.38069151077637553	0.04902375973429929
		>50K		<=50K

Error sum for iteration 100 = 57.23686685382872

Error sum for iteration 200 = 57.387630190056086

Error sum for iteration 300 = 56.396268202321664

Error sum for iteration 400 = 55.910476016586536

Error sum for iteration 500 = 55.5938843885629

Error sum for iteration 600 = 55.4926850501648

Error sum for iteration 700 = 55.56823738399279

Error sum for iteration 800 = 55.78647903094683

Error sum for iteration 900 = 56.1485020462474

Error sum for iteration 1000 = 56.6604492706716

Error sum for iteration 1100 = 57.29318025364059

Error sum for iteration 1200 = 57.889919109054816

Error sum for iteration 1300 = 58.20435483167579

Error sum for iteration 1400 = 58.18834212003752

Error sum for iteration 1500 = 57.95455426689278

Error sum for iteration 1600 = 57.57615503318454

Error sum for iteration 1700 = 57.12911490829822

Error sum for iteration 1800 = 56.662356326183804

Error sum for iteration 1900 = 56.23304514146187

Error sum for iteration 2000 = 55.82671365569635

Error sum for iteration 2100 = 55.4635796719753

Error sum for iteration 2200 = 55.03789468713974

Error sum for iteration 2300 = 54.47037334486243

Error sum for iteration 2400 = 53.788582528422694

Error sum for iteration 2500 = 53.04549217960356

Error sum for iteration 2600 = 52.32592457280539

Error sum for iteration 2700 = 51.632742687074874

Error sum for iteration 2800 = 50.97924829444669

Error sum for iteration 2900 = 50.37560837660004

Error sum for iteration 3000 = 49.83936598235902

Error sum for iteration 3100 = 49.344817800239284

Error sum for iteration 3200 = 48.892681481401304

Error sum for iteration 3300 = 48.48076934976393

Error sum for iteration 3400 = 48.106606085509824

Error sum for iteration 3500 = 47.76260961748373

Error sum for iteration 3600 = 47.43835953950917

Error sum for iteration 3700 = 47.11775910758437

Error sum for iteration 3800 = 46.79006241782015

Error sum for iteration 3900 = 46.44566460923912

Error sum for iteration 4000 = 46.08905192871544

Error sum for iteration 4100 = 45.72039876725089

Error sum for iteration 4200 = 45.33762461018027

Error sum for iteration 4300 = 44.945943667409274

Error sum for iteration 4400 = 44.55064318260248

Error sum for iteration 4500 = 44.15736018715177

Error sum for iteration 4600 = 43.74664920212527

Error sum for iteration 4700 = 43.32205535113178

Error sum for iteration 4800 = 42.88688063471119

Error sum for iteration 4900 = 42.43214463628669

Error sum for iteration 5000 = 41.97872253066207

Error sum for iteration 5100 = 41.512563177548394

Error sum for iteration 5200 = 41.023709684832006

Error sum for iteration 5300 = 40.52627219753368

Error sum for iteration 5400 = 40.02425561244484

Error sum for iteration 5500 = 39.52903682351911

Error sum for iteration 5600 = 39.029320679625265

Error sum for iteration 5700 = 38.532102094769094

Error sum for iteration 5800 = 38.032628728409094

Error sum for iteration 5900 = 37.54472993465862

Error sum for iteration 6000 = 37.0658918429305

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 6
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	6
	-M	0.01
Input Weights:
	-0.015711693366617485	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	age
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	workclass=Private
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	workclass=Self-emp-not-inc
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	workclass=Self-emp-inc
	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Federal-gov
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	workclass=Local-gov
	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=State-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Without-pay
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Never-worked
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	fnlwgt
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	education=Bachelors
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	education=Some-college
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	education=11th
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	education=HS-grad
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=Prof-school
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	education=Assoc-acdm
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=Assoc-voc
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	education=9th
	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=7th-8th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	education=12th
	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=Masters
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	education=1st-4th
	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=10th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	education=Doctorate
	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	education=5th-6th
	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=Preschool
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	education-num
	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	marital-status=Married-civ-spouse
	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	marital-status=Divorced
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	marital-status=Never-married
	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	marital-status=Separated
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	marital-status=Widowed
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	marital-status=Married-spouse-absent
	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	marital-status=Married-AF-spouse
	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	occupation=Tech-support
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	occupation=Craft-repair
	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	occupation=Other-service
	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	occupation=Sales
	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	occupation=Exec-managerial
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	occupation=Prof-specialty
	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	occupation=Handlers-cleaners
	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	occupation=Machine-op-inspct
	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	occupation=Adm-clerical
	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	occupation=Farming-fishing
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	occupation=Transport-moving
	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	occupation=Priv-house-serv
	0.9256631212695201	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	occupation=Protective-serv
	-0.014813505529722715	-0.5350786708841426	0.7681167038511707	-0.8982737305338044	-0.7658962827532021	-0.5294362088347506	occupation=Armed-Forces
	0.5492947290811148	-0.2556694707309599	-0.6049762561649725	0.019215160068648096	0.41160438205075134	0.48734104678219414	relationship=Wife
	-0.8439039830364472	-0.258970667088231	-0.09393797248975155	0.6983640416471244	-0.12443571812744825	-0.8178871821872982	relationship=Own-child
	0.6635075575906735	-0.8938792692993409	-0.09596330219563964	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	relationship=Husband
	-0.5474016073336645	-0.476411893266685	0.8684571125732048	0.04699859177507859	0.014735881629157621	0.2585955088866527	relationship=Not-in-family
	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	0.6901923401815571	-0.2237869674608679	relationship=Other-relative
	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	0.8022523561390085	relationship=Unmarried
	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	race=White
	0.035690157518592835	0.41989555522131616	0.021686146344013002	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	race=Asian-Pac-Islander
	0.7952327558684493	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	0.734109088760442	race=Amer-Indian-Eskimo
	-0.7619560255279945	-0.5569524920988693	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	race=Other
	-0.833067346727385	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	race=Black
	-0.09633764473498996	0.35766577661761145	0.07797237547190905	-0.8836336441965462	-0.34592534518250484	-0.9148225597251407	sex
	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	-0.2919932041909197	-0.1691898539134391	capital-gain
	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	0.09881519662936755	capital-loss
	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	hours-per-week
	0.9296508848422738	-0.631967546246514	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	native-country=United-States
	0.05810554085591679	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	native-country=Cambodia
	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	0.227679940232701	native-country=England
	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	0.003648279708605484	native-country=Puerto-Rico
	0.3189379779425985	-0.3827106168967216	0.6860369951996548	-0.6426074171673759	0.24572751459672304	-0.5574594112356916	native-country=Canada
	-0.6602447919317207	-0.10052042773080472	-0.22192762545739142	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	native-country=Germany
	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	-0.8189502130887474	-0.9023589228554334	native-country=Outlying-US(Guam-USVI-etc)
	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	native-country=India
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	native-country=Japan
	-0.6308382608965062	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	native-country=Greece
	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	native-country=South
	-0.8657125194316448	-0.22044544605440164	0.8747836081776623	0.9320115475373028	-0.047197053228220875	0.6313180963605327	native-country=China
	0.9367874755713848	-0.14064626439746286	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	native-country=Cuba
	0.48715554239523184	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	native-country=Iran
	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	-0.4665669013646463	native-country=Honduras
	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Philippines
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	native-country=Italy
	0.04983945684562041	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	native-country=Poland
	-0.7465277517183853	0.7648202716505279	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	native-country=Jamaica
	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	native-country=Vietnam
	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	native-country=Mexico
	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	0.10719189466556323	-0.3204010671871953	native-country=Portugal
	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	native-country=Ireland
	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=France
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	native-country=Dominican-Republic
	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Laos
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	native-country=Ecuador
	0.3264757518009951	0.36544645812895515	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	native-country=Taiwan
	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	-0.7862069983684246	native-country=Haiti
	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	native-country=Columbia
	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	native-country=Hungary
	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Guatemala
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	native-country=Nicaragua
	-0.8662842890947764	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	native-country=Scotland
	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	native-country=Thailand
	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Yugoslavia
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	native-country=El-Salvador
	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	0.6455800012008159	0.9203391922080992	native-country=Trinadad&Tobago
	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	0.8481496020590713	native-country=Peru
	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Hong
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	native-country=Holand-Netherlands
Hidden Weights:
	-0.6985488034200096	0.773351782230306
	0.9559943069674117	-0.6274762440161006
	0.07990108276576846	0.29053558085542663
	-0.47232280572575047	-4.3315144225442026E-4
	0.7014815742450002	0.30035031741385243
	0.38069151077637553	0.04902375973429929
		>50K		<=50K

Error sum for iteration 100 = 58.40023139741583

Error sum for iteration 200 = 60.49691054752743

Error sum for iteration 300 = 61.48193612369627

Error sum for iteration 400 = 62.46654751542295

Error sum for iteration 500 = 63.60386063127172

Error sum for iteration 600 = 64.40452310872345

Error sum for iteration 700 = 64.64313062615976

Error sum for iteration 800 = 64.42639056619862

Error sum for iteration 900 = 63.96064215180718

Error sum for iteration 1000 = 63.39488688630171

Error sum for iteration 1100 = 62.82989190229504

Error sum for iteration 1200 = 62.31875228395775

Error sum for iteration 1300 = 61.90235125223047

Error sum for iteration 1400 = 61.57265931584159

Error sum for iteration 1500 = 61.27341481791976

Error sum for iteration 1600 = 60.896519090478385

Error sum for iteration 1700 = 60.38263217729504

Error sum for iteration 1800 = 59.73885666393814

Error sum for iteration 1900 = 59.00568759996797

Error sum for iteration 2000 = 58.22842783293863

Error sum for iteration 2100 = 57.43048531609132

Error sum for iteration 2200 = 56.62175712796555

Error sum for iteration 2300 = 55.84879591791764

Error sum for iteration 2400 = 55.088567936636935

Error sum for iteration 2500 = 54.340369285372766

Error sum for iteration 2600 = 53.60873237376691

Error sum for iteration 2700 = 52.876570677897334

Error sum for iteration 2800 = 52.14645245142878

Error sum for iteration 2900 = 51.43160628767327

Error sum for iteration 3000 = 50.715034059891764

Error sum for iteration 3100 = 49.989352674137464

Error sum for iteration 3200 = 49.25194618581009

Error sum for iteration 3300 = 48.498201373829204

Error sum for iteration 3400 = 47.73960406053399

Error sum for iteration 3500 = 46.98927083653826

Error sum for iteration 3600 = 46.22174482120701

Error sum for iteration 3700 = 45.44071285973069

Error sum for iteration 3800 = 44.64693520576403

Error sum for iteration 3900 = 43.85648172304009

Error sum for iteration 4000 = 43.07878508110095

Error sum for iteration 4100 = 42.317867270869044

Error sum for iteration 4200 = 41.575901613251496

Error sum for iteration 4300 = 40.84428938073574

Error sum for iteration 4400 = 40.134002326086645

Error sum for iteration 4500 = 39.43762467278039

Error sum for iteration 4600 = 38.75245984762745

Error sum for iteration 4700 = 38.09095545919033

Error sum for iteration 4800 = 37.44909584271788

Error sum for iteration 4900 = 36.83041306689403

Error sum for iteration 5000 = 36.22823031715952

Error sum for iteration 5100 = 35.64526677809558

Error sum for iteration 5200 = 35.08354849006241

Error sum for iteration 5300 = 34.54464970803069

Error sum for iteration 5400 = 34.03109955980257

Error sum for iteration 5500 = 33.549901473411865

Error sum for iteration 5600 = 33.09816963134201

Error sum for iteration 5700 = 32.67450156520895

Error sum for iteration 5800 = 32.274482905637434

Error sum for iteration 5900 = 31.8940552016424

Error sum for iteration 6000 = 31.536955054352774

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 7
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	7
	-M	0.01
Input Weights:
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	age
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Private
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=Self-emp-not-inc
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Federal-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=Local-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=State-gov
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Without-pay
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Never-worked
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	fnlwgt
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Bachelors
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=Some-college
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=11th
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=HS-grad
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	education=Prof-school
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	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	native-country=Trinadad&Tobago
	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	native-country=Peru
	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	native-country=Hong
	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Holand-Netherlands
Hidden Weights:
	-0.01564691099910176	-0.6262711180384981
	0.9355483536589089	0.8379558598617478
	0.8244755010341056	-0.07459528098920742
	0.4661447324306971	0.835676376764255
	0.17392964834605062	0.40943646489100405
	-0.9727279673016758	-0.11446208480593278
	0.1106614424305774	0.761799284577908
		>50K		<=50K

Error sum for iteration 100 = 60.07514999061927

Error sum for iteration 200 = 59.59825812678935

Error sum for iteration 300 = 58.55135496363376

Error sum for iteration 400 = 58.40415562841797

Error sum for iteration 500 = 58.31329693399217

Error sum for iteration 600 = 58.03950720164976

Error sum for iteration 700 = 57.63807008546692

Error sum for iteration 800 = 57.198659922597585

Error sum for iteration 900 = 56.76601245004479

Error sum for iteration 1000 = 56.38857677510634

Error sum for iteration 1100 = 56.053140950602725

Error sum for iteration 1200 = 55.750919771614264

Error sum for iteration 1300 = 55.456146822845234

Error sum for iteration 1400 = 55.15058983495129

Error sum for iteration 1500 = 54.79955765158747

Error sum for iteration 1600 = 54.384997190154124

Error sum for iteration 1700 = 53.999774783612395

Error sum for iteration 1800 = 53.70885437199202

Error sum for iteration 1900 = 53.501904841889306

Error sum for iteration 2000 = 53.32848469750881

Error sum for iteration 2100 = 53.12078869231505

Error sum for iteration 2200 = 52.83687954785242

Error sum for iteration 2300 = 52.44577091648584

Error sum for iteration 2400 = 51.96832226193884

Error sum for iteration 2500 = 51.40922038151736

Error sum for iteration 2600 = 50.78630596840496

Error sum for iteration 2700 = 50.1093413022228

Error sum for iteration 2800 = 49.416747382660844

Error sum for iteration 2900 = 48.709022250320544

Error sum for iteration 3000 = 48.007747649857016

Error sum for iteration 3100 = 47.32558711941871

Error sum for iteration 3200 = 46.65760163189758

Error sum for iteration 3300 = 45.98930372498533

Error sum for iteration 3400 = 45.32771103938592

Error sum for iteration 3500 = 44.69118164889683

Error sum for iteration 3600 = 44.05972668785634

Error sum for iteration 3700 = 43.41423412057334

Error sum for iteration 3800 = 42.7450124258737

Error sum for iteration 3900 = 42.07319413646594

Error sum for iteration 4000 = 41.38274971742122

Error sum for iteration 4100 = 40.66736881009982

Error sum for iteration 4200 = 39.94932382242796

Error sum for iteration 4300 = 39.22110967034682

Error sum for iteration 4400 = 38.491180310049195

Error sum for iteration 4500 = 37.763246155885305

Error sum for iteration 4600 = 37.05229005471745

Error sum for iteration 4700 = 36.38026927651086

Error sum for iteration 4800 = 35.72471485286116

Error sum for iteration 4900 = 35.09127953500116

Error sum for iteration 5000 = 34.47681157092627

Error sum for iteration 5100 = 33.89602959466436

Error sum for iteration 5200 = 33.34803218073767

Error sum for iteration 5300 = 32.82493798930221

Error sum for iteration 5400 = 32.31414847087534

Error sum for iteration 5500 = 31.81209398296702

Error sum for iteration 5600 = 31.322127430561125

Error sum for iteration 5700 = 30.85523339134351

Error sum for iteration 5800 = 30.40166462657452

Error sum for iteration 5900 = 29.962597298227703

Error sum for iteration 6000 = 29.542768979097303

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 7
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	7
	-M	0.01
Input Weights:
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	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	native-country=Taiwan
	-0.341449096633458	-0.23002129912818314	-0.6985488034200096	0.773351782230306	0.2837767369591986	0.9559943069674117	-0.6274762440161006	native-country=Haiti
	0.07990108276576846	0.29053558085542663	0.44111422570657477	-0.47232280572575047	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	native-country=Columbia
	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	-0.303346853981596	native-country=Hungary
	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	native-country=Guatemala
	0.15019536336362993	-0.3768737579354009	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	native-country=Nicaragua
	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	0.044490852255731905	0.8690220945175746	0.4452077308336302	native-country=Scotland
	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=Thailand
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	native-country=Yugoslavia
	0.39398220268287987	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	native-country=El-Salvador
	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	native-country=Trinadad&Tobago
	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	native-country=Peru
	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	native-country=Hong
	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Holand-Netherlands
Hidden Weights:
	-0.01564691099910176	-0.6262711180384981
	0.9355483536589089	0.8379558598617478
	0.8244755010341056	-0.07459528098920742
	0.4661447324306971	0.835676376764255
	0.17392964834605062	0.40943646489100405
	-0.9727279673016758	-0.11446208480593278
	0.1106614424305774	0.761799284577908
		>50K		<=50K

Error sum for iteration 100 = 60.16963440823655

Error sum for iteration 200 = 59.80888147508598

Error sum for iteration 300 = 57.965544890448804

Error sum for iteration 400 = 57.207790182422464

Error sum for iteration 500 = 57.03799871457371

Error sum for iteration 600 = 57.05262687503051

Error sum for iteration 700 = 57.0900769933986

Error sum for iteration 800 = 57.120886562931716

Error sum for iteration 900 = 57.13832144098943

Error sum for iteration 1000 = 57.15347494857483

Error sum for iteration 1100 = 57.161910367474306

Error sum for iteration 1200 = 57.19137763997693

Error sum for iteration 1300 = 57.252749064588166

Error sum for iteration 1400 = 57.39215093997735

Error sum for iteration 1500 = 57.61041728863886

Error sum for iteration 1600 = 57.91377576867684

Error sum for iteration 1700 = 58.277769518312255

Error sum for iteration 1800 = 58.65893699147491

Error sum for iteration 1900 = 59.02039524427577

Error sum for iteration 2000 = 59.30824382133868

Error sum for iteration 2100 = 59.482196730692195

Error sum for iteration 2200 = 59.50852726849002

Error sum for iteration 2300 = 59.40211883915685

Error sum for iteration 2400 = 59.18423399488326

Error sum for iteration 2500 = 58.876390277672556

Error sum for iteration 2600 = 58.51803550122843

Error sum for iteration 2700 = 58.15635256841326

Error sum for iteration 2800 = 57.80753384580516

Error sum for iteration 2900 = 57.453918203078274

Error sum for iteration 3000 = 57.10747170002729

Error sum for iteration 3100 = 56.77424116580715

Error sum for iteration 3200 = 56.444611777672144

Error sum for iteration 3300 = 56.11010202143968

Error sum for iteration 3400 = 55.763100681950306

Error sum for iteration 3500 = 55.391039606222

Error sum for iteration 3600 = 54.98460441033056

Error sum for iteration 3700 = 54.50468335518176

Error sum for iteration 3800 = 53.96003531425009

Error sum for iteration 3900 = 53.366701059124125

Error sum for iteration 4000 = 52.74144798930643

Error sum for iteration 4100 = 52.08714703075883

Error sum for iteration 4200 = 51.43171113783291

Error sum for iteration 4300 = 50.7587098731945

Error sum for iteration 4400 = 50.08811368341213

Error sum for iteration 4500 = 49.41638882158237

Error sum for iteration 4600 = 48.73957550978293

Error sum for iteration 4700 = 48.063963872081736

Error sum for iteration 4800 = 47.396193312814

Error sum for iteration 4900 = 46.748749592266364

Error sum for iteration 5000 = 46.12535731346224

Error sum for iteration 5100 = 45.50951913566691

Error sum for iteration 5200 = 44.90471049098408

Error sum for iteration 5300 = 44.312376859589705

Error sum for iteration 5400 = 43.73421362755864

Error sum for iteration 5500 = 43.17349970959104

Error sum for iteration 5600 = 42.64418107157719

Error sum for iteration 5700 = 42.1521248186011

Error sum for iteration 5800 = 41.67649106823258

Error sum for iteration 5900 = 41.208478541452344

Error sum for iteration 6000 = 40.74755541777084

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 7
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	7
	-M	0.01
Input Weights:
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	age
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Private
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=Self-emp-not-inc
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Federal-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=Local-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=State-gov
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Without-pay
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Never-worked
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	fnlwgt
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Bachelors
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=Some-college
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=11th
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=HS-grad
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	education=Prof-school
	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	education=Assoc-acdm
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=Assoc-voc
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	education=9th
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	education=7th-8th
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=12th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	education=Masters
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	education=1st-4th
	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=10th
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	education=Doctorate
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	education=5th-6th
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	education=Preschool
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	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Germany
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	native-country=Outlying-US(Guam-USVI-etc)
	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=India
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	-0.7015673846482129	0.1382595093126806	native-country=Japan
	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	0.7525488402266882	0.3425303967162783	-0.2810286409115499	0.9255701448043097	native-country=Greece
	-0.5221787559036224	-0.1342847722222178	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=South
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	native-country=China
	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=Cuba
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Iran
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	0.501397068879714	0.2712449078958168	native-country=Honduras
	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	0.36544645812895515	native-country=Philippines
	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	native-country=Italy
	-0.6988993673483674	-0.7862069983684246	-0.45202274738392045	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	native-country=Poland
	-0.6119822634597316	-0.49878595427622585	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	native-country=Jamaica
	0.7078659416447335	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Vietnam
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	0.9863240301632092	native-country=Mexico
	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	-0.743092484334199	-0.5156862264527939	native-country=Portugal
	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	-0.4585000205772274	0.3172618245916752	0.3682006836944487	native-country=Ireland
	-0.11989379340939799	0.007433728256214911	0.8572088162841285	-0.5623148398074733	0.11820809344888139	0.8773766388935222	-0.381330798614548	native-country=France
	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	native-country=Dominican-Republic
	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=Laos
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Ecuador
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	native-country=Taiwan
	-0.341449096633458	-0.23002129912818314	-0.6985488034200096	0.773351782230306	0.2837767369591986	0.9559943069674117	-0.6274762440161006	native-country=Haiti
	0.07990108276576846	0.29053558085542663	0.44111422570657477	-0.47232280572575047	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	native-country=Columbia
	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	-0.303346853981596	native-country=Hungary
	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	native-country=Guatemala
	0.15019536336362993	-0.3768737579354009	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	native-country=Nicaragua
	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	0.044490852255731905	0.8690220945175746	0.4452077308336302	native-country=Scotland
	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=Thailand
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	native-country=Yugoslavia
	0.39398220268287987	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	native-country=El-Salvador
	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	native-country=Trinadad&Tobago
	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	native-country=Peru
	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	native-country=Hong
	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Holand-Netherlands
Hidden Weights:
	-0.01564691099910176	-0.6262711180384981
	0.9355483536589089	0.8379558598617478
	0.8244755010341056	-0.07459528098920742
	0.4661447324306971	0.835676376764255
	0.17392964834605062	0.40943646489100405
	-0.9727279673016758	-0.11446208480593278
	0.1106614424305774	0.761799284577908
		>50K		<=50K

Error sum for iteration 100 = 61.735989829123355

Error sum for iteration 200 = 63.063291308465786

Error sum for iteration 300 = 62.58048988402472

Error sum for iteration 400 = 62.34841119669468

Error sum for iteration 500 = 62.43003457709797

Error sum for iteration 600 = 62.602705105401746

Error sum for iteration 700 = 62.70594391647297

Error sum for iteration 800 = 62.66855199098024

Error sum for iteration 900 = 62.50285876339941

Error sum for iteration 1000 = 62.27608982401491

Error sum for iteration 1100 = 62.06640281399866

Error sum for iteration 1200 = 61.9202321313768

Error sum for iteration 1300 = 61.83207456397702

Error sum for iteration 1400 = 61.78205601833748

Error sum for iteration 1500 = 61.764780070048594

Error sum for iteration 1600 = 61.72803689143947

Error sum for iteration 1700 = 61.63159215174054

Error sum for iteration 1800 = 61.441453689574566

Error sum for iteration 1900 = 61.142224118575506

Error sum for iteration 2000 = 60.726091679869235

Error sum for iteration 2100 = 60.19583387932695

Error sum for iteration 2200 = 59.549025878486056

Error sum for iteration 2300 = 58.805484079286906

Error sum for iteration 2400 = 57.98588882007329

Error sum for iteration 2500 = 57.119724927813856

Error sum for iteration 2600 = 56.22576797079857

Error sum for iteration 2700 = 55.32759969241078

Error sum for iteration 2800 = 54.43530995667316

Error sum for iteration 2900 = 53.55948346550015

Error sum for iteration 3000 = 52.73372751072713

Error sum for iteration 3100 = 51.949090111542226

Error sum for iteration 3200 = 51.209535104889184

Error sum for iteration 3300 = 50.5000072524839

Error sum for iteration 3400 = 49.82294365606288

Error sum for iteration 3500 = 49.16824523805571

Error sum for iteration 3600 = 48.52540281546687

Error sum for iteration 3700 = 47.89820728821467

Error sum for iteration 3800 = 47.28478357542991

Error sum for iteration 3900 = 46.69495076440128

Error sum for iteration 4000 = 46.11940778874979

Error sum for iteration 4100 = 45.56513559121423

Error sum for iteration 4200 = 45.04347366313667

Error sum for iteration 4300 = 44.541636151150094

Error sum for iteration 4400 = 44.06618959860314

Error sum for iteration 4500 = 43.61360340362128

Error sum for iteration 4600 = 43.176731410153714

Error sum for iteration 4700 = 42.750637764373664

Error sum for iteration 4800 = 42.343363167261465

Error sum for iteration 4900 = 41.9482830178011

Error sum for iteration 5000 = 41.56266512110257

Error sum for iteration 5100 = 41.18437893345236

Error sum for iteration 5200 = 40.813824875666995

Error sum for iteration 5300 = 40.454495172893665

Error sum for iteration 5400 = 40.10745803283622

Error sum for iteration 5500 = 39.77388521877488

Error sum for iteration 5600 = 39.445417981912286

Error sum for iteration 5700 = 39.12498874219394

Error sum for iteration 5800 = 38.81176994869225

Error sum for iteration 5900 = 38.502550972244435

Error sum for iteration 6000 = 38.19436596434299

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 7
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	7
	-M	0.01
Input Weights:
	2.6205607306684087E-4	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	age
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	workclass=Private
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	workclass=Self-emp-not-inc
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Federal-gov
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=Local-gov
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=State-gov
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Without-pay
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Never-worked
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	fnlwgt
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	education=Bachelors
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	education=Some-college
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	education=11th
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=HS-grad
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	education=Prof-school
	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	education=Assoc-acdm
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=Assoc-voc
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	education=9th
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	education=7th-8th
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=12th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	education=Masters
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	education=1st-4th
	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=10th
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	education=Doctorate
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	education=5th-6th
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	education=Preschool
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	education-num
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	marital-status=Married-civ-spouse
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	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	marital-status=Never-married
	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	marital-status=Separated
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	marital-status=Widowed
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	marital-status=Married-spouse-absent
	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	marital-status=Married-AF-spouse
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	occupation=Tech-support
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	occupation=Craft-repair
	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	0.29236312644143125	-0.14400935763483202	0.37929161559298885	occupation=Other-service
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	occupation=Sales
	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	occupation=Exec-managerial
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	-0.9163526132756332	0.8539305315207684	-0.6365863022489537	-0.2731135703967016	-0.5474016073336645	-0.476411893266685	0.8684571125732048	occupation=Transport-moving
	0.014735881629157621	0.2585955088866527	0.6074316423894139	0.0826908804677371	-0.8167456993817261	-0.9520018856672237	0.8089609525299581	occupation=Priv-house-serv
	-0.2237869674608679	0.8111244800666824	-0.7848555868700562	0.5406059977294908	-0.5029380719271697	-0.12744945655792206	-0.2644816127896088	occupation=Protective-serv
	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	occupation=Armed-Forces
	0.035690157518592835	0.41989555522131616	0.021686146344013002	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	relationship=Wife
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	relationship=Own-child
	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	0.44210006521376566	relationship=Husband
	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	0.8932584907705168	-0.09633764473498996	0.35766577661761145	0.07797237547190905	relationship=Not-in-family
	-0.34592534518250484	-0.9148225597251407	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	relationship=Other-relative
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	relationship=Unmarried
	0.5575335538185009	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	race=White
	0.9296508848422738	-0.631967546246514	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	race=Asian-Pac-Islander
	-0.34722639318132953	0.5245684195568125	-0.6855644857598564	0.38851315675851894	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	race=Amer-Indian-Eskimo
	0.5914344286776478	-0.8834037767148772	0.911432859350713	0.227679940232701	0.8551939564234716	-0.43345695900228076	0.86113916622682	race=Other
	0.8779834247013609	0.10610792698050475	0.003648279708605484	-0.3958803969591327	0.3189379779425985	-0.3827106168967216	0.6860369951996548	race=Black
	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	-0.22192762545739142	-0.06164466583527539	sex
	0.7503755146892026	-0.28607575974997856	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	-0.8189502130887474	capital-gain
	0.5438514298549799	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	capital-loss
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	0.6750946494637677	hours-per-week
	-0.09198482398829788	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	native-country=United-States
	-0.25764966466323447	0.5180547900380175	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	native-country=Cambodia
	0.9320115475373028	-0.047197053228220875	0.6313180963605327	-0.9471836287898745	0.9367874755713848	-0.14064626439746286	0.05270195563226565	native-country=England
	0.03445810497182955	0.9780968853795882	0.4972320450638834	0.48715554239523184	-0.22904986360788349	0.9281893368243754	0.7767476949768211	native-country=Puerto-Rico
	-0.36652472439057915	-0.4316616596284253	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	0.6929914523025431	0.6109768238209605	native-country=Canada
	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	native-country=Germany
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	native-country=Outlying-US(Guam-USVI-etc)
	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	native-country=India
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	-0.7015673846482129	0.1382595093126806	native-country=Japan
	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	0.7525488402266882	0.3425303967162783	-0.2810286409115499	0.9255701448043097	native-country=Greece
	-0.5221787559036224	-0.1342847722222178	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	native-country=South
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	native-country=China
	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	native-country=Cuba
	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	native-country=Iran
	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	0.501397068879714	0.2712449078958168	native-country=Honduras
	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	0.36544645812895515	native-country=Philippines
	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	native-country=Italy
	-0.6988993673483674	-0.7862069983684246	-0.45202274738392045	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	native-country=Poland
	-0.6119822634597316	-0.49878595427622585	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	native-country=Jamaica
	0.7078659416447335	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	native-country=Vietnam
	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	0.9863240301632092	native-country=Mexico
	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	-0.743092484334199	-0.5156862264527939	native-country=Portugal
	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	-0.4585000205772274	0.3172618245916752	0.3682006836944487	native-country=Ireland
	-0.11989379340939799	0.007433728256214911	0.8572088162841285	-0.5623148398074733	0.11820809344888139	0.8773766388935222	-0.381330798614548	native-country=France
	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	0.05759840030232599	native-country=Dominican-Republic
	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=Laos
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	native-country=Ecuador
	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	native-country=Taiwan
	-0.341449096633458	-0.23002129912818314	-0.6985488034200096	0.773351782230306	0.2837767369591986	0.9559943069674117	-0.6274762440161006	native-country=Haiti
	0.07990108276576846	0.29053558085542663	0.44111422570657477	-0.47232280572575047	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	native-country=Columbia
	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	-0.303346853981596	native-country=Hungary
	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	native-country=Guatemala
	0.15019536336362993	-0.3768737579354009	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	native-country=Nicaragua
	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	0.044490852255731905	0.8690220945175746	0.4452077308336302	native-country=Scotland
	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=Thailand
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	native-country=Yugoslavia
	0.39398220268287987	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	native-country=El-Salvador
	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	native-country=Trinadad&Tobago
	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	native-country=Peru
	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	native-country=Hong
	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Holand-Netherlands
Hidden Weights:
	-0.01564691099910176	-0.6262711180384981
	0.9355483536589089	0.8379558598617478
	0.8244755010341056	-0.07459528098920742
	0.4661447324306971	0.835676376764255
	0.17392964834605062	0.40943646489100405
	-0.9727279673016758	-0.11446208480593278
	0.1106614424305774	0.761799284577908
		>50K		<=50K

Error sum for iteration 100 = 61.40144842782135

Error sum for iteration 200 = 64.07927501815337

Error sum for iteration 300 = 64.08992369263989

Error sum for iteration 400 = 64.4786635050031

Error sum for iteration 500 = 65.34197104826303

Error sum for iteration 600 = 66.117650628288

Error sum for iteration 700 = 66.62991990340842

Error sum for iteration 800 = 66.91966447208178

Error sum for iteration 900 = 67.12839570828443

Error sum for iteration 1000 = 67.2913603419385

Error sum for iteration 1100 = 67.4571963910235

Error sum for iteration 1200 = 67.62278252615357

Error sum for iteration 1300 = 67.74835388671859

Error sum for iteration 1400 = 67.76379078493167

Error sum for iteration 1500 = 67.60325128134534

Error sum for iteration 1600 = 67.28812198584824

Error sum for iteration 1700 = 66.79756134610057

Error sum for iteration 1800 = 66.14586400331773

Error sum for iteration 1900 = 65.3576434055331

Error sum for iteration 2000 = 64.47766483289956

Error sum for iteration 2100 = 63.451291296045724

Error sum for iteration 2200 = 62.259948120432206

Error sum for iteration 2300 = 60.97000447244297

Error sum for iteration 2400 = 59.669305005879544

Error sum for iteration 2500 = 58.433581833165505

Error sum for iteration 2600 = 57.29417517145493

Error sum for iteration 2700 = 56.24356206089304

Error sum for iteration 2800 = 55.23860306040169

Error sum for iteration 2900 = 54.24473983862374

Error sum for iteration 3000 = 53.252503280969385

Error sum for iteration 3100 = 52.267857493405025

Error sum for iteration 3200 = 51.322534119299156

Error sum for iteration 3300 = 50.41820949440219

Error sum for iteration 3400 = 49.562885795084796

Error sum for iteration 3500 = 48.76767981723392

Error sum for iteration 3600 = 48.03421612243309

Error sum for iteration 3700 = 47.349632851107465

Error sum for iteration 3800 = 46.716128262501414

Error sum for iteration 3900 = 46.11787583445276

Error sum for iteration 4000 = 45.54592008366764

Error sum for iteration 4100 = 44.99976994982311

Error sum for iteration 4200 = 44.4805149966165

Error sum for iteration 4300 = 43.97464631369801

Error sum for iteration 4400 = 43.481446882195264

Error sum for iteration 4500 = 43.009378275530715

Error sum for iteration 4600 = 42.55748805050149

Error sum for iteration 4700 = 42.123361340185646

Error sum for iteration 4800 = 41.70723957269408

Error sum for iteration 4900 = 41.3095049269346

Error sum for iteration 5000 = 40.92589517487161

Error sum for iteration 5100 = 40.54881090569283

Error sum for iteration 5200 = 40.18293767077108

Error sum for iteration 5300 = 39.83425221073671

Error sum for iteration 5400 = 39.49136985095807

Error sum for iteration 5500 = 39.15474674365987

Error sum for iteration 5600 = 38.82952092829159

Error sum for iteration 5700 = 38.51553332354214

Error sum for iteration 5800 = 38.208390818997714

Error sum for iteration 5900 = 37.90519932615022

Error sum for iteration 6000 = 37.615141025324554

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 8
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	8
	-M	0.01
Input Weights:
	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	age
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	workclass=Private
	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Self-emp-not-inc
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Self-emp-inc
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Federal-gov
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Local-gov
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=State-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	workclass=Without-pay
	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Never-worked
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	fnlwgt
	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Bachelors
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	education=Some-college
	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=11th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=HS-grad
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=Prof-school
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	education=Assoc-acdm
	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Assoc-voc
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	education=9th
	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=7th-8th
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=12th
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	education=Masters
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	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	native-country=Outlying-US(Guam-USVI-etc)
	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	native-country=India
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	-0.49878595427622585	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	0.7078659416447335	native-country=Greece
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	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	native-country=El-Salvador
	0.8084066800452196	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	native-country=Trinadad&Tobago
	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	native-country=Peru
	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Hong
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	native-country=Holand-Netherlands
Hidden Weights:
	0.8899021989803995	-0.0447567624890024
	-0.6018312465594342	-0.6013867671702278
	-0.7210575796483503	0.6109323507166959
	-0.5996608263761698	0.21356377773002921
	-0.2854188392154413	-0.9044160335868126
	-0.7942985801785485	-0.857804297202708
	-0.47673576559964714	-0.3154522273102469
	0.37855529172084945	-0.5048579113449942
		>50K		<=50K

Error sum for iteration 100 = 56.070787969315965

Error sum for iteration 200 = 54.54310134430592

Error sum for iteration 300 = 54.975779457420906

Error sum for iteration 400 = 55.77372631096569

Error sum for iteration 500 = 56.14627787014506

Error sum for iteration 600 = 56.187056030929526

Error sum for iteration 700 = 56.11194746344246

Error sum for iteration 800 = 55.87717723349756

Error sum for iteration 900 = 55.53205854584354

Error sum for iteration 1000 = 55.07974449934675

Error sum for iteration 1100 = 54.550450129012695

Error sum for iteration 1200 = 54.004038664806444

Error sum for iteration 1300 = 53.50483782329756

Error sum for iteration 1400 = 53.01868649972296

Error sum for iteration 1500 = 52.518328255663945

Error sum for iteration 1600 = 52.011246146128066

Error sum for iteration 1700 = 51.525870512344824

Error sum for iteration 1800 = 51.06477349329631

Error sum for iteration 1900 = 50.60547155946147

Error sum for iteration 2000 = 50.09608338548818

Error sum for iteration 2100 = 49.502343871588316

Error sum for iteration 2200 = 48.84500497802468

Error sum for iteration 2300 = 48.12704381023932

Error sum for iteration 2400 = 47.36213406383456

Error sum for iteration 2500 = 46.56323592915387

Error sum for iteration 2600 = 45.76176770880444

Error sum for iteration 2700 = 44.9605487455269

Error sum for iteration 2800 = 44.16648382215756

Error sum for iteration 2900 = 43.39834071682652

Error sum for iteration 3000 = 42.67574939674404

Error sum for iteration 3100 = 42.00229781439127

Error sum for iteration 3200 = 41.36214110027312

Error sum for iteration 3300 = 40.774345554782855

Error sum for iteration 3400 = 40.23148089240289

Error sum for iteration 3500 = 39.70418515290979

Error sum for iteration 3600 = 39.19194372282903

Error sum for iteration 3700 = 38.70362586528876

Error sum for iteration 3800 = 38.22180308381786

Error sum for iteration 3900 = 37.756677286201814

Error sum for iteration 4000 = 37.318325609395636

Error sum for iteration 4100 = 36.89812998616132

Error sum for iteration 4200 = 36.49453520107002

Error sum for iteration 4300 = 36.11906924686095

Error sum for iteration 4400 = 35.76259078161556

Error sum for iteration 4500 = 35.43469319470883

Error sum for iteration 4600 = 35.13274796666843

Error sum for iteration 4700 = 34.853130511873815

Error sum for iteration 4800 = 34.59763355698418

Error sum for iteration 4900 = 34.3605701408099

Error sum for iteration 5000 = 34.13664717206848

Error sum for iteration 5100 = 33.91409868010373

Error sum for iteration 5200 = 33.6926945419505

Error sum for iteration 5300 = 33.472141262054265

Error sum for iteration 5400 = 33.254663816267886

Error sum for iteration 5500 = 33.032474538894114

Error sum for iteration 5600 = 32.80930233723694

Error sum for iteration 5700 = 32.58197866256609

Error sum for iteration 5800 = 32.35229494683926

Error sum for iteration 5900 = 32.121828499280845

Error sum for iteration 6000 = 31.894559595109158

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 8
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	8
	-M	0.01
Input Weights:
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	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	-0.5623148398074733	0.11820809344888139	native-country=Iran
	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	native-country=Honduras
	0.6455800012008159	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=Philippines
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	0.6576317768082507	native-country=Italy
	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	-0.341449096633458	native-country=Poland
	-0.6985488034200096	0.773351782230306	0.2837767369591986	0.9559943069674117	-0.6274762440161006	-0.7414936357545192	0.07990108276576846	0.29053558085542663	native-country=Jamaica
	-0.47232280572575047	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	native-country=Vietnam
	0.16528635333276775	0.46855621394137037	-0.303346853981596	0.6888900426953348	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	native-country=Mexico
	-0.16932690093430525	0.005191789713175465	-0.9600083909497623	0.15019536336362993	-0.3768737579354009	0.810046630023461	0.7108672965801022	-0.8411792427932199	native-country=Portugal
	-0.4359919025066017	0.6098586577650813	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	0.044490852255731905	0.8690220945175746	native-country=Ireland
	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=France
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	0.40926313130185954	native-country=Dominican-Republic
	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	native-country=Laos
	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	0.16304136550662962	0.6501336995895528	-0.9469740500470107	native-country=Ecuador
	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	native-country=Taiwan
	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	native-country=Haiti
	-0.8217421119165564	-0.48594485418450284	-0.547391050643584	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	native-country=Columbia
	0.9355483536589089	0.8379558598617478	0.6839451519454984	0.8244755010341056	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	native-country=Hungary
	0.17392964834605062	0.40943646489100405	-0.3293660824573439	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	native-country=Guatemala
	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	0.12895068319992475	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	native-country=Nicaragua
	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	-0.9144766169685712	0.5527300023313402	native-country=Scotland
	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	-0.3546311455839215	native-country=Thailand
	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=Yugoslavia
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	native-country=El-Salvador
	0.8084066800452196	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	native-country=Trinadad&Tobago
	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	native-country=Peru
	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Hong
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	native-country=Holand-Netherlands
Hidden Weights:
	0.8899021989803995	-0.0447567624890024
	-0.6018312465594342	-0.6013867671702278
	-0.7210575796483503	0.6109323507166959
	-0.5996608263761698	0.21356377773002921
	-0.2854188392154413	-0.9044160335868126
	-0.7942985801785485	-0.857804297202708
	-0.47673576559964714	-0.3154522273102469
	0.37855529172084945	-0.5048579113449942
		>50K		<=50K

Error sum for iteration 100 = 56.64523574908036

Error sum for iteration 200 = 56.817826056742334

Error sum for iteration 300 = 56.54879266713942

Error sum for iteration 400 = 56.186387915998026

Error sum for iteration 500 = 56.437874283272954

Error sum for iteration 600 = 57.197184577867155

Error sum for iteration 700 = 58.237213106397625

Error sum for iteration 800 = 59.178510685413684

Error sum for iteration 900 = 59.78394666402958

Error sum for iteration 1000 = 60.23564406522351

Error sum for iteration 1100 = 60.663765362620225

Error sum for iteration 1200 = 61.111973804603835

Error sum for iteration 1300 = 61.54094971959368

Error sum for iteration 1400 = 61.923465113617624

Error sum for iteration 1500 = 62.22363637467109

Error sum for iteration 1600 = 62.45131709221582

Error sum for iteration 1700 = 62.5932152930147

Error sum for iteration 1800 = 62.61658087882373

Error sum for iteration 1900 = 62.451748283060624

Error sum for iteration 2000 = 62.048913573512515

Error sum for iteration 2100 = 61.37372223306708

Error sum for iteration 2200 = 60.45322140104346

Error sum for iteration 2300 = 59.354930306692026

Error sum for iteration 2400 = 58.121089737293104

Error sum for iteration 2500 = 56.82827837650267

Error sum for iteration 2600 = 55.547571049272946

Error sum for iteration 2700 = 54.29687163907883

Error sum for iteration 2800 = 53.08674809927093

Error sum for iteration 2900 = 51.94720776650677

Error sum for iteration 3000 = 50.89090173554784

Error sum for iteration 3100 = 49.90512904091826

Error sum for iteration 3200 = 49.001083258913525

Error sum for iteration 3300 = 48.157064223799004

Error sum for iteration 3400 = 47.37542675203946

Error sum for iteration 3500 = 46.64993824724498

Error sum for iteration 3600 = 45.977108692052205

Error sum for iteration 3700 = 45.37347109123208

Error sum for iteration 3800 = 44.81074569127205

Error sum for iteration 3900 = 44.27419317279984

Error sum for iteration 4000 = 43.76282603836676

Error sum for iteration 4100 = 43.27324642192124

Error sum for iteration 4200 = 42.80355087736067

Error sum for iteration 4300 = 42.347834705225125

Error sum for iteration 4400 = 41.92402594072653

Error sum for iteration 4500 = 41.51299652981209

Error sum for iteration 4600 = 41.11419284041265

Error sum for iteration 4700 = 40.71936038684709

Error sum for iteration 4800 = 40.327305458685125

Error sum for iteration 4900 = 39.94709307509859

Error sum for iteration 5000 = 39.596218471227

Error sum for iteration 5100 = 39.24941157338313

Error sum for iteration 5200 = 38.904789978922466

Error sum for iteration 5300 = 38.56640079514658

Error sum for iteration 5400 = 38.241785328873576

Error sum for iteration 5500 = 37.930874197933285

Error sum for iteration 5600 = 37.632686390836206

Error sum for iteration 5700 = 37.33955588844052

Error sum for iteration 5800 = 37.057957253366425

Error sum for iteration 5900 = 36.78434341552294

Error sum for iteration 6000 = 36.5198390065012

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 8
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	8
	-M	0.01
Input Weights:
	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	age
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	workclass=Private
	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Self-emp-not-inc
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Self-emp-inc
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Federal-gov
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Local-gov
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=State-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	workclass=Without-pay
	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Never-worked
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	fnlwgt
	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	education=Bachelors
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	education=Some-college
	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	education=11th
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	education=HS-grad
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=Prof-school
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	education=Assoc-acdm
	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	education=Assoc-voc
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	education=9th
	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=7th-8th
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	education=12th
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	education=Masters
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	education=1st-4th
	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	education=10th
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	education=Doctorate
	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	education=5th-6th
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	education=Preschool
	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	education-num
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	marital-status=Married-civ-spouse
	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	marital-status=Divorced
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	marital-status=Never-married
	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	marital-status=Separated
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	marital-status=Widowed
	0.7987563310342116	0.030048731289127106	0.5840656262926034	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	marital-status=Married-spouse-absent
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	marital-status=Married-AF-spouse
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	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	occupation=Adm-clerical
	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	0.7952327558684493	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	occupation=Farming-fishing
	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	occupation=Transport-moving
	0.44210006521376566	-0.09509284150577191	-0.6104707155778142	0.4029685435921617	-0.8024121116434562	0.8932584907705168	-0.09633764473498996	0.35766577661761145	occupation=Priv-house-serv
	-0.8836336441965462	-0.34592534518250484	-0.9148225597251407	-0.914211204381709	0.38537479616887094	-0.24343067890472492	-0.8401728475146428	0.16144084410901471	occupation=Protective-serv
	-0.1691898539134391	0.15940618494233516	0.04515649425138313	0.27614618814890934	0.7814260275573768	0.18336154693637075	-0.8761984089837553	0.09881519662936755	occupation=Armed-Forces
	0.8558880673005256	-0.45491738406061355	0.22762921003482028	-0.1344072027306229	-0.038799276413757244	-0.9054389468589701	0.8753280693939716	0.9296508848422738	relationship=Wife
	0.8562925792497023	0.8939968921147372	-0.17533031341300997	-0.7773350700132464	0.5157945276039502	0.05810554085591679	-0.34722639318132953	0.5245684195568125	relationship=Own-child
	0.38851315675851894	-0.11110494158297568	-0.8540100169926814	-0.8727670480501446	0.35709649037128566	0.5914344286776478	-0.8834037767148772	0.911432859350713	relationship=Husband
	0.8551939564234716	-0.43345695900228076	0.86113916622682	0.017458254803008666	0.8779834247013609	0.10610792698050475	0.003648279708605484	-0.3958803969591327	relationship=Not-in-family
	-0.3827106168967216	0.6860369951996548	-0.6426074171673759	0.24572751459672304	-0.5574594112356916	-0.5740586153888885	-0.6602447919317207	-0.10052042773080472	relationship=Other-relative
	-0.06164466583527539	-0.40043907167638704	0.7503755146892026	-0.28607575974997856	0.8006679380179329	-0.629148746739824	0.8735237580313615	0.8102698173876006	relationship=Unmarried
	-0.9023589228554334	0.5438514298549799	-0.6408132208614168	-0.669311630734674	0.1164771847928383	-0.8696014677129091	-0.4466115366755721	0.12826411380166514	race=White
	-0.13546178377566553	0.6681788685023833	-0.13455193240486674	0.5819561433563842	0.8632877250192554	0.06015954520852684	0.6750946494637677	-0.6308382608965062	race=Asian-Pac-Islander
	0.29598092843581925	-0.47080877699236634	0.5488618804559933	0.9104881230052155	-0.9533019871368369	-0.4284806628803033	-0.39271661961116	-0.25764966466323447	race=Amer-Indian-Eskimo
	0.7003709072697255	0.7031256566005979	0.16075337994127858	-0.8657125194316448	-0.22044544605440164	0.8747836081776623	0.9320115475373028	-0.047197053228220875	race=Other
	-0.9471836287898745	0.9367874755713848	-0.14064626439746286	0.05270195563226565	-0.4818949596154889	0.03445810497182955	0.9780968853795882	0.4972320450638834	race=Black
	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	-0.4316616596284253	-0.8364458959578596	0.8283306695626724	sex
	0.6929914523025431	0.6109768238209605	-0.4665669013646463	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	capital-gain
	0.9688652778693301	-0.4696880908803738	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	capital-loss
	0.04983945684562041	0.7777831794389525	-0.5698519351140432	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	hours-per-week
	0.7330406924467789	0.8329856960364266	0.8049127426724094	-0.6569981585518385	0.366176057247354	-0.7015673846482129	0.1382595093126806	0.5974204695680905	native-country=United-States
	-0.09800577114349474	-0.45096166948485394	0.7525488402266882	0.3425303967162783	-0.2810286409115499	0.9255701448043097	0.6092988007534255	-0.5221787559036224	native-country=Cambodia
	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	0.10719189466556323	-0.3204010671871953	0.21479911366615667	native-country=England
	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	0.059574040601718226	-0.9889639084263695	native-country=Puerto-Rico
	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	0.04571190074622811	native-country=Canada
	-0.8249966589390278	-0.0022567615000241847	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	native-country=Germany
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	native-country=Outlying-US(Guam-USVI-etc)
	-0.6571909339814437	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	native-country=India
	-0.6988993673483674	-0.7862069983684246	-0.45202274738392045	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	native-country=Japan
	-0.49878595427622585	-0.866742257950365	0.3575737779294679	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	0.7078659416447335	native-country=Greece
	0.6171220618478128	0.7446844132657955	0.4517649297663371	-0.18906258055189817	-0.11789872819117453	0.3352891755474665	0.6878433914247373	0.5359140190041456	native-country=South
	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	0.9863240301632092	-0.8662842890947764	0.44643145487831437	-0.6703148576329794	0.04891634308477344	native-country=China
	-0.36697617982343145	-0.743092484334199	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	0.1659920384252691	0.6336807838712044	0.7321797756050712	native-country=Cuba
	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	-0.5623148398074733	0.11820809344888139	native-country=Iran
	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	0.4592099814050834	native-country=Honduras
	0.6455800012008159	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=Philippines
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	0.6576317768082507	native-country=Italy
	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	-0.341449096633458	native-country=Poland
	-0.6985488034200096	0.773351782230306	0.2837767369591986	0.9559943069674117	-0.6274762440161006	-0.7414936357545192	0.07990108276576846	0.29053558085542663	native-country=Jamaica
	-0.47232280572575047	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	native-country=Vietnam
	0.16528635333276775	0.46855621394137037	-0.303346853981596	0.6888900426953348	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	native-country=Mexico
	-0.16932690093430525	0.005191789713175465	-0.9600083909497623	0.15019536336362993	-0.3768737579354009	0.810046630023461	0.7108672965801022	-0.8411792427932199	native-country=Portugal
	-0.4359919025066017	0.6098586577650813	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	0.044490852255731905	0.8690220945175746	native-country=Ireland
	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=France
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	0.40926313130185954	native-country=Dominican-Republic
	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	native-country=Laos
	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	0.16304136550662962	0.6501336995895528	-0.9469740500470107	native-country=Ecuador
	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	native-country=Taiwan
	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	native-country=Haiti
	-0.8217421119165564	-0.48594485418450284	-0.547391050643584	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	native-country=Columbia
	0.9355483536589089	0.8379558598617478	0.6839451519454984	0.8244755010341056	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	native-country=Hungary
	0.17392964834605062	0.40943646489100405	-0.3293660824573439	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	native-country=Guatemala
	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	0.12895068319992475	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	native-country=Nicaragua
	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	-0.9144766169685712	0.5527300023313402	native-country=Scotland
	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	-0.3546311455839215	native-country=Thailand
	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=Yugoslavia
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	native-country=El-Salvador
	0.8084066800452196	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	native-country=Trinadad&Tobago
	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	native-country=Peru
	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Hong
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	native-country=Holand-Netherlands
Hidden Weights:
	0.8899021989803995	-0.0447567624890024
	-0.6018312465594342	-0.6013867671702278
	-0.7210575796483503	0.6109323507166959
	-0.5996608263761698	0.21356377773002921
	-0.2854188392154413	-0.9044160335868126
	-0.7942985801785485	-0.857804297202708
	-0.47673576559964714	-0.3154522273102469
	0.37855529172084945	-0.5048579113449942
		>50K		<=50K

Error sum for iteration 100 = 56.382362601047596

Error sum for iteration 200 = 55.09398654125238

Error sum for iteration 300 = 53.92292152513687

Error sum for iteration 400 = 53.68327832175773

Error sum for iteration 500 = 53.79943816850843

Error sum for iteration 600 = 53.88155303074863

Error sum for iteration 700 = 53.831250090049394

Error sum for iteration 800 = 53.62647999526049

Error sum for iteration 900 = 53.2357842245816

Error sum for iteration 1000 = 52.70744162416268

Error sum for iteration 1100 = 52.10553633478132

Error sum for iteration 1200 = 51.42768344234859

Error sum for iteration 1300 = 50.67237249595846

Error sum for iteration 1400 = 49.82615709067924

Error sum for iteration 1500 = 48.87579113881035

Error sum for iteration 1600 = 47.86978686374586

Error sum for iteration 1700 = 46.85609765469249

Error sum for iteration 1800 = 45.849318261441674

Error sum for iteration 1900 = 44.86408204030664

Error sum for iteration 2000 = 43.91322747478152

Error sum for iteration 2100 = 42.999085115057234

Error sum for iteration 2200 = 42.12069800599935

Error sum for iteration 2300 = 41.27955292813747

Error sum for iteration 2400 = 40.479742778845335

Error sum for iteration 2500 = 39.694543121255734

Error sum for iteration 2600 = 38.8877339116914

Error sum for iteration 2700 = 38.123501168248154

Error sum for iteration 2800 = 37.40748570561443

Error sum for iteration 2900 = 36.75341126216847

Error sum for iteration 3000 = 36.16229264437157

Error sum for iteration 3100 = 35.627411846857235

Error sum for iteration 3200 = 35.15042839324105

Error sum for iteration 3300 = 34.72696313267214

Error sum for iteration 3400 = 34.3621629055313

Error sum for iteration 3500 = 34.04675000661643

Error sum for iteration 3600 = 33.779205460702265

Error sum for iteration 3700 = 33.54798997503239

Error sum for iteration 3800 = 33.34899440943586

Error sum for iteration 3900 = 33.181063347095076

Error sum for iteration 4000 = 33.03729096564889

Error sum for iteration 4100 = 32.9166663058339

Error sum for iteration 4200 = 32.81681933975897

Error sum for iteration 4300 = 32.7345724571345

Error sum for iteration 4400 = 32.66589097454669

Error sum for iteration 4500 = 32.61355773548965

Error sum for iteration 4600 = 32.56134273104538

Error sum for iteration 4700 = 32.50956088176472

Error sum for iteration 4800 = 32.459181317845974

Error sum for iteration 4900 = 32.412148046050454

Error sum for iteration 5000 = 32.3709210426325

Error sum for iteration 5100 = 32.329401410434855

Error sum for iteration 5200 = 32.289075327641385

Error sum for iteration 5300 = 32.24890478047825

Error sum for iteration 5400 = 32.207813029787744

Error sum for iteration 5500 = 32.16175424612434

Error sum for iteration 5600 = 32.112256065373856

Error sum for iteration 5700 = 32.05968862862164

Error sum for iteration 5800 = 31.999796852452135

Error sum for iteration 5900 = 31.940993174028527

Error sum for iteration 6000 = 31.874955721985177

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 8
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	8
	-M	0.01
Input Weights:
	-0.8782848824906613	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	age
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	workclass=Private
	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Self-emp-not-inc
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Self-emp-inc
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Federal-gov
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Local-gov
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=State-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	workclass=Without-pay
	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Never-worked
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	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	-0.9144766169685712	0.5527300023313402	native-country=Scotland
	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	-0.3546311455839215	native-country=Thailand
	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=Yugoslavia
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	native-country=El-Salvador
	0.8084066800452196	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	native-country=Trinadad&Tobago
	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	native-country=Peru
	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Hong
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	native-country=Holand-Netherlands
Hidden Weights:
	0.8899021989803995	-0.0447567624890024
	-0.6018312465594342	-0.6013867671702278
	-0.7210575796483503	0.6109323507166959
	-0.5996608263761698	0.21356377773002921
	-0.2854188392154413	-0.9044160335868126
	-0.7942985801785485	-0.857804297202708
	-0.47673576559964714	-0.3154522273102469
	0.37855529172084945	-0.5048579113449942
		>50K		<=50K

Error sum for iteration 100 = 57.403009335950586

Error sum for iteration 200 = 59.10790591943978

Error sum for iteration 300 = 60.672584224582366

Error sum for iteration 400 = 62.524248571423094

Error sum for iteration 500 = 64.19801825734433

Error sum for iteration 600 = 65.42631507416789

Error sum for iteration 700 = 66.20875758820823

Error sum for iteration 800 = 66.67811863474004

Error sum for iteration 900 = 66.88625170803107

Error sum for iteration 1000 = 66.78613251402336

Error sum for iteration 1100 = 66.20213028831093

Error sum for iteration 1200 = 65.09062660705095

Error sum for iteration 1300 = 63.71911739548048

Error sum for iteration 1400 = 62.323397293281396

Error sum for iteration 1500 = 60.99623382774741

Error sum for iteration 1600 = 59.79232381167961

Error sum for iteration 1700 = 58.70441393534204

Error sum for iteration 1800 = 57.67203311566382

Error sum for iteration 1900 = 56.650760935385165

Error sum for iteration 2000 = 55.57238681724775

Error sum for iteration 2100 = 54.48875019198711

Error sum for iteration 2200 = 53.43846033247052

Error sum for iteration 2300 = 52.48581778895275

Error sum for iteration 2400 = 51.64562938384532

Error sum for iteration 2500 = 50.92253335923066

Error sum for iteration 2600 = 50.31990038638903

Error sum for iteration 2700 = 49.84682304209031

Error sum for iteration 2800 = 49.473454391906145

Error sum for iteration 2900 = 49.113289290304856

Error sum for iteration 3000 = 48.69889748421415

Error sum for iteration 3100 = 48.212879207118775

Error sum for iteration 3200 = 47.67584444450784

Error sum for iteration 3300 = 47.11560946456008

Error sum for iteration 3400 = 46.55828094149727

Error sum for iteration 3500 = 46.02875542010499

Error sum for iteration 3600 = 45.49380352144678

Error sum for iteration 3700 = 44.962264959929286

Error sum for iteration 3800 = 44.43431198658341

Error sum for iteration 3900 = 43.90307524177224

Error sum for iteration 4000 = 43.380863652180146

Error sum for iteration 4100 = 42.86196043224908

Error sum for iteration 4200 = 42.35975008369225

Error sum for iteration 4300 = 41.8748552894032

Error sum for iteration 4400 = 41.41204097457171

Error sum for iteration 4500 = 40.9596725551904

Error sum for iteration 4600 = 40.524533865263045

Error sum for iteration 4700 = 40.09514231390296

Error sum for iteration 4800 = 39.67611473228213

Error sum for iteration 4900 = 39.264981082139094

Error sum for iteration 5000 = 38.8652888810848

Error sum for iteration 5100 = 38.470918468358214

Error sum for iteration 5200 = 38.087927323623006

Error sum for iteration 5300 = 37.730912739619015

Error sum for iteration 5400 = 37.38419076509782

Error sum for iteration 5500 = 37.051140074607474

Error sum for iteration 5600 = 36.727514584506515

Error sum for iteration 5700 = 36.407332870913294

Error sum for iteration 5800 = 36.09141431410388

Error sum for iteration 5900 = 35.787053596940154

Error sum for iteration 6000 = 35.48822443362323

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 9
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	9
	-M	0.01
Input Weights:
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	age
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Private
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-not-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Self-emp-inc
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Federal-gov
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Local-gov
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=State-gov
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Without-pay
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Never-worked
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	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=11th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=HS-grad
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	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=Assoc-voc
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	education=9th
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	education=7th-8th
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	education=12th
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	education=Masters
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	education=1st-4th
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	0.366176057247354	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	0.7525488402266882	0.3425303967162783	race=Other
	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	race=Black
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	sex
	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	capital-gain
	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	capital-loss
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	0.36544645812895515	hours-per-week
	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	native-country=United-States
	-0.45202274738392045	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	-0.49878595427622585	-0.866742257950365	native-country=Cambodia
	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	0.7078659416447335	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	native-country=England
	-0.11789872819117453	0.3352891755474665	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	0.9863240301632092	native-country=Puerto-Rico
	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	-0.743092484334199	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	native-country=Canada
	0.6336807838712044	0.7321797756050712	-0.4585000205772274	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Germany
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	native-country=Outlying-US(Guam-USVI-etc)
	0.05759840030232599	0.6455800012008159	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=India
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	0.6576317768082507	-0.5530534650390093	native-country=Japan
	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	-0.341449096633458	-0.23002129912818314	-0.6985488034200096	native-country=Greece
	0.2837767369591986	0.9559943069674117	-0.6274762440161006	-0.7414936357545192	0.07990108276576846	0.29053558085542663	0.44111422570657477	-0.47232280572575047	-4.3315144225442026E-4	native-country=South
	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	-0.303346853981596	native-country=China
	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	-0.9600083909497623	0.15019536336362993	native-country=Cuba
	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	0.6098586577650813	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	native-country=Iran
	0.044490852255731905	0.8690220945175746	0.4452077308336302	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	native-country=Honduras
	0.17381959662847035	-0.1609772478411593	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	native-country=Philippines
	0.39398220268287987	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	native-country=Italy
	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	0.16304136550662962	0.6501336995895528	-0.9469740500470107	0.6542436162680947	native-country=Poland
	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	native-country=Jamaica
	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Vietnam
	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	0.9355483536589089	0.8379558598617478	0.6839451519454984	native-country=Mexico
	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	0.6304985457000405	0.17392964834605062	0.40943646489100405	-0.3293660824573439	-0.9727279673016758	native-country=Portugal
	-0.014183617923336334	0.1106614424305774	0.761799284577908	-0.22576968061312086	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	0.12895068319992475	native-country=Ireland
	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	native-country=France
	0.5527300023313402	-0.7920344268450215	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	native-country=Dominican-Republic
	-0.39555915572657807	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=Laos
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	0.27119767965586394	native-country=Ecuador
	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	native-country=Taiwan
	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	native-country=Haiti
	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	0.6340276901347481	0.06861374676027454	0.1685203998486995	-0.6205103839435777	native-country=Columbia
	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	-0.28970260041251494	0.8899021989803995	native-country=Hungary
	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Guatemala
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	native-country=Nicaragua
	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	native-country=Scotland
	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Thailand
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	native-country=Yugoslavia
	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	native-country=El-Salvador
	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Trinadad&Tobago
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	native-country=Peru
	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	native-country=Hong
	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	native-country=Holand-Netherlands
Hidden Weights:
	0.4156120070031999	-0.9384933534143798
	-0.0898301978755951	-0.570324724191396
	0.6940958019771655	0.30190053658701266
	-0.8676623851790093	0.19914575408955826
	-0.2811528480408272	-0.1508733741128867
	-0.776253702150439	-0.056412810948468284
	-0.07130455372222522	-0.2790184224384715
	-0.4099040675781891	-0.12692553360087566
	-0.3651800849228879	0.606543528481188
		>50K		<=50K

Error sum for iteration 100 = 61.12998403188073

Error sum for iteration 200 = 58.47516745280171

Error sum for iteration 300 = 57.36628024796844

Error sum for iteration 400 = 58.05646983141968

Error sum for iteration 500 = 59.46818404479312

Error sum for iteration 600 = 61.304894613544135

Error sum for iteration 700 = 62.83969326944778

Error sum for iteration 800 = 63.868990096114004

Error sum for iteration 900 = 64.45048203054526

Error sum for iteration 1000 = 64.70016556837979

Error sum for iteration 1100 = 64.70396362882659

Error sum for iteration 1200 = 64.51839470970614

Error sum for iteration 1300 = 64.2162300132551

Error sum for iteration 1400 = 63.81550144873435

Error sum for iteration 1500 = 63.34570076040091

Error sum for iteration 1600 = 62.81537093754828

Error sum for iteration 1700 = 62.2121432798465

Error sum for iteration 1800 = 61.53495623215046

Error sum for iteration 1900 = 60.81954573787438

Error sum for iteration 2000 = 60.0519273224589

Error sum for iteration 2100 = 59.24261968389291

Error sum for iteration 2200 = 58.39652708944133

Error sum for iteration 2300 = 57.51865962389098

Error sum for iteration 2400 = 56.64555975655103

Error sum for iteration 2500 = 55.759335420305995

Error sum for iteration 2600 = 54.848785420912584

Error sum for iteration 2700 = 53.9207249545111

Error sum for iteration 2800 = 52.95898082461757

Error sum for iteration 2900 = 51.95514844662129

Error sum for iteration 3000 = 50.93099709920702

Error sum for iteration 3100 = 49.86930874187232

Error sum for iteration 3200 = 48.77395035684373

Error sum for iteration 3300 = 47.6620993942836

Error sum for iteration 3400 = 46.553422021744105

Error sum for iteration 3500 = 45.48978470460102

Error sum for iteration 3600 = 44.4732076407479

Error sum for iteration 3700 = 43.50537998182095

Error sum for iteration 3800 = 42.60984680037611

Error sum for iteration 3900 = 41.756845953519814

Error sum for iteration 4000 = 40.95296376339554

Error sum for iteration 4100 = 40.205118419657964

Error sum for iteration 4200 = 39.518252295684725

Error sum for iteration 4300 = 38.88268397980967

Error sum for iteration 4400 = 38.291715265083276

Error sum for iteration 4500 = 37.740646949975435

Error sum for iteration 4600 = 37.233073006011935

Error sum for iteration 4700 = 36.757800298780964

Error sum for iteration 4800 = 36.312336424669

Error sum for iteration 4900 = 35.897338247317826

Error sum for iteration 5000 = 35.49227611693019

Error sum for iteration 5100 = 35.09794735061884

Error sum for iteration 5200 = 34.74527262155602

Error sum for iteration 5300 = 34.41970047370887

Error sum for iteration 5400 = 34.12835300697878

Error sum for iteration 5500 = 33.862014121356495

Error sum for iteration 5600 = 33.617153343896916

Error sum for iteration 5700 = 33.393331817325056

Error sum for iteration 5800 = 33.18492138623206

Error sum for iteration 5900 = 32.989670742176195

Error sum for iteration 6000 = 32.80370173145902

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 9
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	9
	-M	0.01
Input Weights:
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	age
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Private
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-not-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Self-emp-inc
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Federal-gov
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Local-gov
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=State-gov
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Without-pay
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Never-worked
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	fnlwgt
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=Bachelors
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	education=Some-college
	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=11th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=HS-grad
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	education=Prof-school
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	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	-0.28970260041251494	0.8899021989803995	native-country=Hungary
	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Guatemala
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	native-country=Nicaragua
	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	native-country=Scotland
	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Thailand
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	native-country=Yugoslavia
	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	native-country=El-Salvador
	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Trinadad&Tobago
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	native-country=Peru
	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	native-country=Hong
	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	native-country=Holand-Netherlands
Hidden Weights:
	0.4156120070031999	-0.9384933534143798
	-0.0898301978755951	-0.570324724191396
	0.6940958019771655	0.30190053658701266
	-0.8676623851790093	0.19914575408955826
	-0.2811528480408272	-0.1508733741128867
	-0.776253702150439	-0.056412810948468284
	-0.07130455372222522	-0.2790184224384715
	-0.4099040675781891	-0.12692553360087566
	-0.3651800849228879	0.606543528481188
		>50K		<=50K

Error sum for iteration 100 = 58.15987109205834

Error sum for iteration 200 = 54.6788527941356

Error sum for iteration 300 = 51.73137179350032

Error sum for iteration 400 = 52.030521960889175

Error sum for iteration 500 = 53.0984321247011

Error sum for iteration 600 = 54.567093033279164

Error sum for iteration 700 = 56.19124032799285

Error sum for iteration 800 = 57.93066011123914

Error sum for iteration 900 = 59.636278136245046

Error sum for iteration 1000 = 61.0537444030106

Error sum for iteration 1100 = 62.0329327343518

Error sum for iteration 1200 = 62.631653561313975

Error sum for iteration 1300 = 62.953475814513084

Error sum for iteration 1400 = 63.10270742056923

Error sum for iteration 1500 = 63.16167878471405

Error sum for iteration 1600 = 63.2127664361545

Error sum for iteration 1700 = 63.3188586929999

Error sum for iteration 1800 = 63.469611028764206

Error sum for iteration 1900 = 63.51597542804249

Error sum for iteration 2000 = 63.312725949163415

Error sum for iteration 2100 = 62.896737063245084

Error sum for iteration 2200 = 62.347033210063195

Error sum for iteration 2300 = 61.71250960387981

Error sum for iteration 2400 = 61.042832735313276

Error sum for iteration 2500 = 60.342489045322246

Error sum for iteration 2600 = 59.61942294070875

Error sum for iteration 2700 = 58.868432744532114

Error sum for iteration 2800 = 58.09705299020643

Error sum for iteration 2900 = 57.32852229855093

Error sum for iteration 3000 = 56.55621836979771

Error sum for iteration 3100 = 55.78287661250262

Error sum for iteration 3200 = 55.00132384137694

Error sum for iteration 3300 = 54.220293608761274

Error sum for iteration 3400 = 53.4225111558372

Error sum for iteration 3500 = 52.62227586018151

Error sum for iteration 3600 = 51.812583647055376

Error sum for iteration 3700 = 50.994590089578885

Error sum for iteration 3800 = 50.15048287939912

Error sum for iteration 3900 = 49.278376554424234

Error sum for iteration 4000 = 48.38764030606169

Error sum for iteration 4100 = 47.5042320740545

Error sum for iteration 4200 = 46.622338649110006

Error sum for iteration 4300 = 45.74253718758412

Error sum for iteration 4400 = 44.85665123267563

Error sum for iteration 4500 = 43.96226232691143

Error sum for iteration 4600 = 43.073040416608904

Error sum for iteration 4700 = 42.21534858236811

Error sum for iteration 4800 = 41.41360857746085

Error sum for iteration 4900 = 40.63647477343154

Error sum for iteration 5000 = 39.90414748821547

Error sum for iteration 5100 = 39.20872229330886

Error sum for iteration 5200 = 38.549490294698316

Error sum for iteration 5300 = 37.92369710709685

Error sum for iteration 5400 = 37.34406908578756

Error sum for iteration 5500 = 36.81004509818468

Error sum for iteration 5600 = 36.314875007762815

Error sum for iteration 5700 = 35.8494216139148

Error sum for iteration 5800 = 35.416872114111854

Error sum for iteration 5900 = 35.01399241414432

Error sum for iteration 6000 = 34.64531667372293

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 9
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	9
	-M	0.01
Input Weights:
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	age
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Private
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-not-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Self-emp-inc
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Federal-gov
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Local-gov
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=State-gov
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Without-pay
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Never-worked
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	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	education=11th
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	education=HS-grad
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	education=Prof-school
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	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=Assoc-voc
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	education=9th
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	education=7th-8th
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	education=12th
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	education=Masters
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	education=1st-4th
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	-0.22904986360788349	0.9281893368243754	0.7767476949768211	0.3595209014006646	-0.36652472439057915	-0.4316616596284253	-0.8364458959578596	0.8283306695626724	-0.5127636302641985	relationship=Unmarried
	0.6109768238209605	-0.4665669013646463	-0.9266850667872708	-0.22138523944882071	-0.5392117903352982	-0.7723313284939415	-0.9964065970276843	-0.6742240432808113	0.9688652778693301	race=White
	0.5577038480454031	-0.39748777935420176	-0.7441701163940899	-0.7422679760356854	-0.23136340151393164	0.6667298332467744	-0.12268820823244608	0.04983945684562041	0.7777831794389525	race=Asian-Pac-Islander
	0.10886680857291275	-0.4480992056751405	0.2468274424536807	-0.7764355315096576	-0.7465277517183853	0.7648202716505279	0.7330406924467789	0.8329856960364266	0.8049127426724094	race=Amer-Indian-Eskimo
	0.366176057247354	-0.7015673846482129	0.1382595093126806	0.5974204695680905	0.9092988971937126	-0.09800577114349474	-0.45096166948485394	0.7525488402266882	0.3425303967162783	race=Other
	0.9255701448043097	0.6092988007534255	-0.5221787559036224	-0.1342847722222178	-0.8856398287642595	0.18215506940715498	0.7945150659093985	0.15003331007964982	0.12630174802606242	race=Black
	-0.3204010671871953	0.21479911366615667	-0.2681486113976872	-0.3413186145072904	-0.4368180606069465	-0.5373310602812473	-0.29377746358748613	0.0655156820147973	-0.9411189507581077	sex
	-0.9889639084263695	-0.515317739972883	-0.8495646739882952	-0.8630775829451551	-0.46324398252914123	0.46754647054863696	-0.28998978409789333	-0.05279060459041984	0.6806298528911487	capital-gain
	-0.8097063096674988	-0.8249966589390278	-0.0022567615000241847	0.6667431922474676	-0.7983734554841699	0.865036288741605	0.43818938382519934	-0.8739463233744971	0.8670512895695024	capital-loss
	0.2712449078958168	0.3697739264746793	0.34230206122758644	-0.34341175157544646	-0.30216707828489486	-0.41556568403409244	0.6944014531062443	0.3264757518009951	0.36544645812895515	hours-per-week
	0.45166852739300145	0.5769235749037649	0.5250950299631072	0.7412864402736647	-0.43041580713977856	-0.5498266991364553	-0.5922723025807723	0.4426434706114686	-0.6988993673483674	native-country=United-States
	-0.45202274738392045	-0.670878813801759	-0.4833790704095944	0.9822857828872966	-0.7540398351032143	-0.9257897420142831	-0.6119822634597316	-0.49878595427622585	-0.866742257950365	native-country=Cambodia
	-0.9673015577539061	0.4559607817525242	0.8970947154430042	0.6760488005689951	0.7078659416447335	-0.9479844721794655	0.6171220618478128	0.7446844132657955	0.4517649297663371	native-country=England
	-0.11789872819117453	0.3352891755474665	0.6878433914247373	0.5359140190041456	0.8791780002708911	-0.9340230169721315	-0.7605996330659606	0.22309996075707583	0.9863240301632092	native-country=Puerto-Rico
	0.44643145487831437	-0.6703148576329794	0.04891634308477344	-0.7271017298485192	-0.36697617982343145	-0.743092484334199	-0.5156862264527939	0.32647239670877104	-0.9572062475927607	native-country=Canada
	0.6336807838712044	0.7321797756050712	-0.4585000205772274	0.3172618245916752	0.3682006836944487	0.9549719846814342	-0.11989379340939799	0.007433728256214911	0.8572088162841285	native-country=Germany
	0.11820809344888139	0.8773766388935222	-0.381330798614548	0.9955720668769779	-0.07312027049877523	0.8723754004330868	-0.5021934073436449	-0.2536947741309661	-0.07836534414764018	native-country=Outlying-US(Guam-USVI-etc)
	0.05759840030232599	0.6455800012008159	0.9203391922080992	0.8391237877689328	0.015220144764811261	0.4894636193458426	0.07755361023147445	-0.15697727505013903	0.8214295884640599	native-country=India
	0.2159201837913991	-0.04499059337675093	0.255265071990026	-0.1882049226964475	-0.6431444143775844	-0.5173744366606847	-0.005676038540946671	0.6576317768082507	-0.5530534650390093	native-country=Japan
	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	-0.341449096633458	-0.23002129912818314	-0.6985488034200096	native-country=Greece
	0.2837767369591986	0.9559943069674117	-0.6274762440161006	-0.7414936357545192	0.07990108276576846	0.29053558085542663	0.44111422570657477	-0.47232280572575047	-4.3315144225442026E-4	native-country=South
	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	-0.303346853981596	native-country=China
	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	-0.9600083909497623	0.15019536336362993	native-country=Cuba
	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	0.6098586577650813	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	native-country=Iran
	0.044490852255731905	0.8690220945175746	0.4452077308336302	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	native-country=Honduras
	0.17381959662847035	-0.1609772478411593	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	native-country=Philippines
	0.39398220268287987	0.4998426156231477	0.7465076867532736	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	native-country=Italy
	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	0.16304136550662962	0.6501336995895528	-0.9469740500470107	0.6542436162680947	native-country=Poland
	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	native-country=Jamaica
	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Vietnam
	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	0.9355483536589089	0.8379558598617478	0.6839451519454984	native-country=Mexico
	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	0.6304985457000405	0.17392964834605062	0.40943646489100405	-0.3293660824573439	-0.9727279673016758	native-country=Portugal
	-0.014183617923336334	0.1106614424305774	0.761799284577908	-0.22576968061312086	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	0.12895068319992475	native-country=Ireland
	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	native-country=France
	0.5527300023313402	-0.7920344268450215	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	native-country=Dominican-Republic
	-0.39555915572657807	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=Laos
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	0.27119767965586394	native-country=Ecuador
	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	native-country=Taiwan
	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	native-country=Haiti
	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	0.6340276901347481	0.06861374676027454	0.1685203998486995	-0.6205103839435777	native-country=Columbia
	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	-0.28970260041251494	0.8899021989803995	native-country=Hungary
	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Guatemala
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	native-country=Nicaragua
	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	native-country=Scotland
	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Thailand
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	native-country=Yugoslavia
	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	native-country=El-Salvador
	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Trinadad&Tobago
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	native-country=Peru
	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	native-country=Hong
	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	native-country=Holand-Netherlands
Hidden Weights:
	0.4156120070031999	-0.9384933534143798
	-0.0898301978755951	-0.570324724191396
	0.6940958019771655	0.30190053658701266
	-0.8676623851790093	0.19914575408955826
	-0.2811528480408272	-0.1508733741128867
	-0.776253702150439	-0.056412810948468284
	-0.07130455372222522	-0.2790184224384715
	-0.4099040675781891	-0.12692553360087566
	-0.3651800849228879	0.606543528481188
		>50K		<=50K

Error sum for iteration 100 = 59.97022396408283

Error sum for iteration 200 = 56.48591932709487

Error sum for iteration 300 = 54.62178562140057

Error sum for iteration 400 = 55.24050280453947

Error sum for iteration 500 = 56.18076638420356

Error sum for iteration 600 = 57.2219713939426

Error sum for iteration 700 = 58.17034678227889

Error sum for iteration 800 = 58.961870322200184

Error sum for iteration 900 = 59.61270370779978

Error sum for iteration 1000 = 60.18633188753119

Error sum for iteration 1100 = 60.75854378814399

Error sum for iteration 1200 = 61.87018368132672

Error sum for iteration 1300 = 63.03173361526875

Error sum for iteration 1400 = 64.15375969016021

Error sum for iteration 1500 = 65.12005817866425

Error sum for iteration 1600 = 65.88642171420392

Error sum for iteration 1700 = 66.45200759793585

Error sum for iteration 1800 = 66.82020491075673

Error sum for iteration 1900 = 67.02671477352612

Error sum for iteration 2000 = 67.08421971582014

Error sum for iteration 2100 = 66.99824246770265

Error sum for iteration 2200 = 66.71838813914239

Error sum for iteration 2300 = 66.21425113157247

Error sum for iteration 2400 = 65.49478941498852

Error sum for iteration 2500 = 64.56450718110605

Error sum for iteration 2600 = 63.43898629938522

Error sum for iteration 2700 = 62.18821045873324

Error sum for iteration 2800 = 60.852197183228014

Error sum for iteration 2900 = 59.457004467435155

Error sum for iteration 3000 = 58.03570573324646

Error sum for iteration 3100 = 56.62266600114635

Error sum for iteration 3200 = 55.258887128599724

Error sum for iteration 3300 = 53.975171970397504

Error sum for iteration 3400 = 52.7738411288948

Error sum for iteration 3500 = 51.6542329106588

Error sum for iteration 3600 = 50.604979163138694

Error sum for iteration 3700 = 49.60852713415964

Error sum for iteration 3800 = 48.66989101403111

Error sum for iteration 3900 = 47.7683354807639

Error sum for iteration 4000 = 46.8954549170907

Error sum for iteration 4100 = 46.05054323617099

Error sum for iteration 4200 = 45.24030815136719

Error sum for iteration 4300 = 44.4649837492785

Error sum for iteration 4400 = 43.71659751823875

Error sum for iteration 4500 = 43.003885734032266

Error sum for iteration 4600 = 42.32578404694185

Error sum for iteration 4700 = 41.680952394183336

Error sum for iteration 4800 = 41.07179765725279

Error sum for iteration 4900 = 40.48479948156196

Error sum for iteration 5000 = 39.92012956013372

Error sum for iteration 5100 = 39.38691518783135

Error sum for iteration 5200 = 38.87746778644413

Error sum for iteration 5300 = 38.38571168978433

Error sum for iteration 5400 = 37.912057122229896

Error sum for iteration 5500 = 37.44422359407601

Error sum for iteration 5600 = 36.984959513081996

Error sum for iteration 5700 = 36.54064070581228

Error sum for iteration 5800 = 36.11135116989593

Error sum for iteration 5900 = 35.69825279706479

Error sum for iteration 6000 = 35.29608927239434

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 9
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	9
	-M	0.01
Input Weights:
	0.8446475096743951	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	age
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	workclass=Private
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	workclass=Self-emp-not-inc
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	workclass=Self-emp-inc
	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Federal-gov
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Local-gov
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=State-gov
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Without-pay
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Never-worked
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	fnlwgt
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	education=Bachelors
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	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	0.27119767965586394	native-country=Ecuador
	0.44822962114706266	-0.15109658120299474	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	native-country=Taiwan
	-0.7331415492853111	0.48324905927906014	0.4711687985384825	0.4249671136669473	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	native-country=Haiti
	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	0.6340276901347481	0.06861374676027454	0.1685203998486995	-0.6205103839435777	native-country=Columbia
	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	-0.28970260041251494	0.8899021989803995	native-country=Hungary
	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Guatemala
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	native-country=Nicaragua
	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	native-country=Scotland
	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Thailand
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	native-country=Yugoslavia
	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	native-country=El-Salvador
	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Trinadad&Tobago
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	native-country=Peru
	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	native-country=Hong
	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	native-country=Holand-Netherlands
Hidden Weights:
	0.4156120070031999	-0.9384933534143798
	-0.0898301978755951	-0.570324724191396
	0.6940958019771655	0.30190053658701266
	-0.8676623851790093	0.19914575408955826
	-0.2811528480408272	-0.1508733741128867
	-0.776253702150439	-0.056412810948468284
	-0.07130455372222522	-0.2790184224384715
	-0.4099040675781891	-0.12692553360087566
	-0.3651800849228879	0.606543528481188
		>50K		<=50K

Error sum for iteration 100 = 61.874468338441304

Error sum for iteration 200 = 60.5931014902363

Error sum for iteration 300 = 59.49229200925264

Error sum for iteration 400 = 59.23482500323619

Error sum for iteration 500 = 60.18750125578007

Error sum for iteration 600 = 60.779031624519405

Error sum for iteration 700 = 61.0367044300097

Error sum for iteration 800 = 61.05407916050013

Error sum for iteration 900 = 61.08602129020881

Error sum for iteration 1000 = 61.0937827188126

Error sum for iteration 1100 = 61.06641166867394

Error sum for iteration 1200 = 61.0685585144555

Error sum for iteration 1300 = 61.14249832149529

Error sum for iteration 1400 = 61.312412666174616

Error sum for iteration 1500 = 61.59990572643066

Error sum for iteration 1600 = 62.02094843186558

Error sum for iteration 1700 = 62.60364928060419

Error sum for iteration 1800 = 63.373866589362194

Error sum for iteration 1900 = 64.35913098414048

Error sum for iteration 2000 = 65.43258826466301

Error sum for iteration 2100 = 66.32291846694173

Error sum for iteration 2200 = 66.92982972339614

Error sum for iteration 2300 = 67.31125612107309

Error sum for iteration 2400 = 67.53081809352231

Error sum for iteration 2500 = 67.64597537720681

Error sum for iteration 2600 = 67.72355931945832

Error sum for iteration 2700 = 67.81118845965413

Error sum for iteration 2800 = 67.918785039433

Error sum for iteration 2900 = 68.04363409675283

Error sum for iteration 3000 = 68.09400833755751

Error sum for iteration 3100 = 67.90668005300654

Error sum for iteration 3200 = 67.43588962314107

Error sum for iteration 3300 = 66.73887372906722

Error sum for iteration 3400 = 65.88185938654648

Error sum for iteration 3500 = 64.93176604436135

Error sum for iteration 3600 = 63.93788455553808

Error sum for iteration 3700 = 62.92692796452853

Error sum for iteration 3800 = 61.88806996445422

Error sum for iteration 3900 = 60.836270423348275

Error sum for iteration 4000 = 59.79558131787959

Error sum for iteration 4100 = 58.7590303077758

Error sum for iteration 4200 = 57.73554156584623

Error sum for iteration 4300 = 56.71202009733069

Error sum for iteration 4400 = 55.690354391816015

Error sum for iteration 4500 = 54.6762575005886

Error sum for iteration 4600 = 53.681595063383526

Error sum for iteration 4700 = 52.713747827400454

Error sum for iteration 4800 = 51.78199855377844

Error sum for iteration 4900 = 50.893880040579546

Error sum for iteration 5000 = 50.05290830066117

Error sum for iteration 5100 = 49.25845122838454

Error sum for iteration 5200 = 48.507068578296455

Error sum for iteration 5300 = 47.78593011783894

Error sum for iteration 5400 = 47.09866277952095

Error sum for iteration 5500 = 46.44454081617486

Error sum for iteration 5600 = 45.83114646605332

Error sum for iteration 5700 = 45.262257968630806

Error sum for iteration 5800 = 44.74461014978761

Error sum for iteration 5900 = 44.260088591124834

Error sum for iteration 6000 = 43.81224120684557

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	10
	-M	0.01
Input Weights:
	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	age
	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	workclass=Private
	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	workclass=Self-emp-not-inc
	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	workclass=Self-emp-inc
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	workclass=Federal-gov
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	workclass=Local-gov
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	workclass=State-gov
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	workclass=Without-pay
	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	workclass=Never-worked
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	fnlwgt
	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Bachelors
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	education=Some-college
	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=11th
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	education=HS-grad
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	education=Prof-school
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	education=Assoc-acdm
	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	education=Assoc-voc
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	education=9th
	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	education=7th-8th
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	education=12th
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	education=Masters
	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	education=1st-4th
	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	education=10th
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	education=Doctorate
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	education=5th-6th
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	-0.005676038540946671	0.6576317768082507	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	native-country=England
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	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	native-country=Canada
	0.6888900426953348	-0.6973156987353686	0.10026039005400689	-0.07327505422830294	-0.006561107528138654	-0.023045585386097134	-0.16932690093430525	0.005191789713175465	-0.9600083909497623	0.15019536336362993	native-country=Germany
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	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	-0.547391050643584	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	native-country=Cuba
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	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	-0.22576968061312086	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	native-country=Honduras
	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	native-country=Philippines
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	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	native-country=Mexico
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	-0.5996608263761698	0.21356377773002921	0.121090365066441	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	native-country=France
	0.15192557554379094	0.37855529172084945	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	native-country=Dominican-Republic
	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Laos
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	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	0.7051986706473155	0.5632862908992742	0.8632353439811542	native-country=Haiti
	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	native-country=Columbia
	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	native-country=Hungary
	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=Guatemala
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	native-country=Nicaragua
	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	native-country=Scotland
	0.606543528481188	-0.7634244472035838	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	native-country=Thailand
	0.3581266735467148	-0.5907087554116881	0.16553038095375006	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	native-country=Yugoslavia
	0.7392954988838114	0.16069947413130148	0.3034653342512357	0.3327409759386639	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	native-country=El-Salvador
	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	0.940516805553915	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	native-country=Trinadad&Tobago
	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	-0.585402630823471	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	native-country=Peru
	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	-0.32455679365790435	0.9373321468918665	0.8967453343441192	-0.8642005395225554	native-country=Hong
	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	-0.4940427810995902	-0.3284886343949929	-0.4894141683374935	native-country=Holand-Netherlands
Hidden Weights:
	0.6096269955400437	0.2630387987645799
	0.9028404081489878	-0.10827405019035607
	-0.10083691096256708	0.8245899857360901
	-0.438106593567112	-0.6645224796807754
	-0.12255824030452667	-0.20109995817886728
	-0.010793317452776341	-0.9951791785886839
	-0.5981735182977417	0.9986048884639014
	0.5917470336762745	0.9252381262064919
	-0.2592539094430446	0.35616517267602243
	0.020201652271122805	-0.27742799060918677
		>50K		<=50K

Error sum for iteration 100 = 71.46825037609118

Error sum for iteration 200 = 67.32076560569747

Error sum for iteration 300 = 66.22762370717095

Error sum for iteration 400 = 65.98310992837968

Error sum for iteration 500 = 65.91972878960715

Error sum for iteration 600 = 65.86532917644226

Error sum for iteration 700 = 65.78038423747081

Error sum for iteration 800 = 65.61885950570978

Error sum for iteration 900 = 65.35055715099011

Error sum for iteration 1000 = 64.94414873613961

Error sum for iteration 1100 = 64.38815311648986

Error sum for iteration 1200 = 63.68790085123144

Error sum for iteration 1300 = 62.88848533906282

Error sum for iteration 1400 = 62.00924644050529

Error sum for iteration 1500 = 61.008103722881096

Error sum for iteration 1600 = 59.82874165840893

Error sum for iteration 1700 = 58.46165324150914

Error sum for iteration 1800 = 56.97843093853048

Error sum for iteration 1900 = 55.43869959512227

Error sum for iteration 2000 = 53.86114648515082

Error sum for iteration 2100 = 52.29168379618062

Error sum for iteration 2200 = 50.76101497186947

Error sum for iteration 2300 = 49.28232438170763

Error sum for iteration 2400 = 47.883644428198984

Error sum for iteration 2500 = 46.56111795550804

Error sum for iteration 2600 = 45.30676237185536

Error sum for iteration 2700 = 44.10176803572718

Error sum for iteration 2800 = 42.95965520983997

Error sum for iteration 2900 = 41.86775111611173

Error sum for iteration 3000 = 40.82858963084784

Error sum for iteration 3100 = 39.84771689306017

Error sum for iteration 3200 = 38.91992664636596

Error sum for iteration 3300 = 38.04917445031144

Error sum for iteration 3400 = 37.24588729970144

Error sum for iteration 3500 = 36.52236340794011

Error sum for iteration 3600 = 35.89356415837262

Error sum for iteration 3700 = 35.35906618783821

Error sum for iteration 3800 = 34.9440194664876

Error sum for iteration 3900 = 34.64109180080635

Error sum for iteration 4000 = 34.33996902375131

Error sum for iteration 4100 = 33.87451114192724

Error sum for iteration 4200 = 33.1994607603827

Error sum for iteration 4300 = 32.39358035156645

Error sum for iteration 4400 = 31.567276645456793

Error sum for iteration 4500 = 30.783431141096685

Error sum for iteration 4600 = 30.068956531995447

Error sum for iteration 4700 = 29.41565681946883

Error sum for iteration 4800 = 28.82037882816071

Error sum for iteration 4900 = 28.26973610583676

Error sum for iteration 5000 = 27.758707367752656

Error sum for iteration 5100 = 27.287337365165435

Error sum for iteration 5200 = 26.852011343081507

Error sum for iteration 5300 = 26.445383650311022

Error sum for iteration 5400 = 26.064718258510165

Error sum for iteration 5500 = 25.702506762033995

Error sum for iteration 5600 = 25.35763505917729

Error sum for iteration 5700 = 25.030191082522645

Error sum for iteration 5800 = 24.718429434229158

Error sum for iteration 5900 = 24.42024261969807

Error sum for iteration 6000 = 24.134111858301274

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	10
	-M	0.01
Input Weights:
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	0.810046630023461	0.7108672965801022	-0.8411792427932199	-0.4196820442369955	-0.4359919025066017	0.6098586577650813	-0.06279913464699272	-0.17557383432025198	-0.7882073544496653	-0.6330208533779131	native-country=Outlying-US(Guam-USVI-etc)
	0.8690220945175746	0.4452077308336302	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=India
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	0.40926313130185954	0.39398220268287987	0.4998426156231477	native-country=Japan
	-0.9355868823528404	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	native-country=Greece
	0.2909256957312041	0.16304136550662962	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	native-country=South
	-0.6772142359874322	0.6734800323475634	0.06963842372452156	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	native-country=China
	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	-0.547391050643584	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	native-country=Cuba
	0.8379558598617478	0.6839451519454984	0.8244755010341056	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	0.6304985457000405	0.17392964834605062	0.40943646489100405	native-country=Iran
	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	-0.22576968061312086	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	native-country=Honduras
	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	native-country=Philippines
	0.5527300023313402	-0.7920344268450215	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	-0.3546311455839215	native-country=Italy
	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	-0.4440430854179218	0.7874297050458863	native-country=Poland
	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	0.27119767965586394	0.8084066800452196	0.44822962114706266	-0.15109658120299474	native-country=Jamaica
	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	native-country=Vietnam
	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	native-country=Mexico
	0.6340276901347481	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	native-country=Portugal
	0.005943430073311662	-0.28970260041251494	0.8899021989803995	-0.0447567624890024	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	native-country=Ireland
	-0.5996608263761698	0.21356377773002921	0.121090365066441	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	native-country=France
	0.15192557554379094	0.37855529172084945	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	native-country=Dominican-Republic
	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Laos
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	-0.8085203425632594	native-country=Ecuador
	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	0.34593722881860156	-0.678497686337189	native-country=Taiwan
	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	0.7051986706473155	0.5632862908992742	0.8632353439811542	native-country=Haiti
	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	native-country=Columbia
	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	native-country=Hungary
	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=Guatemala
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	native-country=Nicaragua
	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	native-country=Scotland
	0.606543528481188	-0.7634244472035838	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	native-country=Thailand
	0.3581266735467148	-0.5907087554116881	0.16553038095375006	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	native-country=Yugoslavia
	0.7392954988838114	0.16069947413130148	0.3034653342512357	0.3327409759386639	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	native-country=El-Salvador
	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	0.940516805553915	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	native-country=Trinadad&Tobago
	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	-0.585402630823471	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	native-country=Peru
	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	-0.32455679365790435	0.9373321468918665	0.8967453343441192	-0.8642005395225554	native-country=Hong
	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	-0.4940427810995902	-0.3284886343949929	-0.4894141683374935	native-country=Holand-Netherlands
Hidden Weights:
	0.6096269955400437	0.2630387987645799
	0.9028404081489878	-0.10827405019035607
	-0.10083691096256708	0.8245899857360901
	-0.438106593567112	-0.6645224796807754
	-0.12255824030452667	-0.20109995817886728
	-0.010793317452776341	-0.9951791785886839
	-0.5981735182977417	0.9986048884639014
	0.5917470336762745	0.9252381262064919
	-0.2592539094430446	0.35616517267602243
	0.020201652271122805	-0.27742799060918677
		>50K		<=50K

Error sum for iteration 100 = 70.9091533304816

Error sum for iteration 200 = 68.23682891560802

Error sum for iteration 300 = 68.06954073005

Error sum for iteration 400 = 68.43154585044196

Error sum for iteration 500 = 69.06199431668861

Error sum for iteration 600 = 69.84554352371103

Error sum for iteration 700 = 70.52731146523573

Error sum for iteration 800 = 71.05279461362406

Error sum for iteration 900 = 71.44783141856315

Error sum for iteration 1000 = 71.72400937156465

Error sum for iteration 1100 = 71.91183195222447

Error sum for iteration 1200 = 71.96406280482354

Error sum for iteration 1300 = 71.8207192037701

Error sum for iteration 1400 = 71.49226342669344

Error sum for iteration 1500 = 71.0163854910105

Error sum for iteration 1600 = 70.38430515779513

Error sum for iteration 1700 = 69.63600029604571

Error sum for iteration 1800 = 68.80186501189762

Error sum for iteration 1900 = 67.8740672396985

Error sum for iteration 2000 = 66.85089788699602

Error sum for iteration 2100 = 65.70784761479077

Error sum for iteration 2200 = 64.45447888330389

Error sum for iteration 2300 = 63.12422590506001

Error sum for iteration 2400 = 61.77146486454494

Error sum for iteration 2500 = 60.39060555763404

Error sum for iteration 2600 = 58.986664888566125

Error sum for iteration 2700 = 57.57327325504578

Error sum for iteration 2800 = 56.19114095253478

Error sum for iteration 2900 = 54.84073947495221

Error sum for iteration 3000 = 53.54613311357989

Error sum for iteration 3100 = 52.305733206030446

Error sum for iteration 3200 = 51.12053971657836

Error sum for iteration 3300 = 49.996804493635736

Error sum for iteration 3400 = 48.94986948928958

Error sum for iteration 3500 = 47.99592741169318

Error sum for iteration 3600 = 47.12431801094255

Error sum for iteration 3700 = 46.333963801614786

Error sum for iteration 3800 = 45.613886718373536

Error sum for iteration 3900 = 44.94627442461383

Error sum for iteration 4000 = 44.34266252081765

Error sum for iteration 4100 = 43.796770325873254

Error sum for iteration 4200 = 43.27869365957484

Error sum for iteration 4300 = 42.78753093903259

Error sum for iteration 4400 = 42.33107540529157

Error sum for iteration 4500 = 41.89229070808642

Error sum for iteration 4600 = 41.462803101115426

Error sum for iteration 4700 = 41.04344337045037

Error sum for iteration 4800 = 40.65146719362225

Error sum for iteration 4900 = 40.28418337533686

Error sum for iteration 5000 = 39.92732308653862

Error sum for iteration 5100 = 39.57695817055294

Error sum for iteration 5200 = 39.228175521645426

Error sum for iteration 5300 = 38.883269274537376

Error sum for iteration 5400 = 38.54060268228065

Error sum for iteration 5500 = 38.20656966250324

Error sum for iteration 5600 = 37.885108476484795

Error sum for iteration 5700 = 37.5688993484205

Error sum for iteration 5800 = 37.256513020378236

Error sum for iteration 5900 = 36.9510502496272

Error sum for iteration 6000 = 36.652559831107105

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	10
	-M	0.01
Input Weights:
	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	age
	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	workclass=Private
	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	workclass=Self-emp-not-inc
	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	workclass=Self-emp-inc
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	workclass=Federal-gov
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	workclass=Local-gov
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	workclass=State-gov
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	workclass=Without-pay
	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	workclass=Never-worked
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	fnlwgt
	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Bachelors
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	education=Some-college
	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=11th
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	education=HS-grad
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	education=Prof-school
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	education=Assoc-acdm
	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	education=Assoc-voc
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	education=9th
	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	education=7th-8th
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	education=12th
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	education=Masters
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	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	native-country=Columbia
	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	native-country=Hungary
	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=Guatemala
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	native-country=Nicaragua
	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	native-country=Scotland
	0.606543528481188	-0.7634244472035838	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	native-country=Thailand
	0.3581266735467148	-0.5907087554116881	0.16553038095375006	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	native-country=Yugoslavia
	0.7392954988838114	0.16069947413130148	0.3034653342512357	0.3327409759386639	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	native-country=El-Salvador
	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	0.940516805553915	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	native-country=Trinadad&Tobago
	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	-0.585402630823471	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	native-country=Peru
	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	-0.32455679365790435	0.9373321468918665	0.8967453343441192	-0.8642005395225554	native-country=Hong
	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	-0.4940427810995902	-0.3284886343949929	-0.4894141683374935	native-country=Holand-Netherlands
Hidden Weights:
	0.6096269955400437	0.2630387987645799
	0.9028404081489878	-0.10827405019035607
	-0.10083691096256708	0.8245899857360901
	-0.438106593567112	-0.6645224796807754
	-0.12255824030452667	-0.20109995817886728
	-0.010793317452776341	-0.9951791785886839
	-0.5981735182977417	0.9986048884639014
	0.5917470336762745	0.9252381262064919
	-0.2592539094430446	0.35616517267602243
	0.020201652271122805	-0.27742799060918677
		>50K		<=50K

Error sum for iteration 100 = 72.9521794324978

Error sum for iteration 200 = 69.591081167686

Error sum for iteration 300 = 68.2571211339833

Error sum for iteration 400 = 67.6138485976198

Error sum for iteration 500 = 67.17981630760015

Error sum for iteration 600 = 66.88205362305983

Error sum for iteration 700 = 66.7869390694352

Error sum for iteration 800 = 66.74887159162118

Error sum for iteration 900 = 66.7359534117954

Error sum for iteration 1000 = 66.71038914458542

Error sum for iteration 1100 = 66.66101697873287

Error sum for iteration 1200 = 66.62314572109426

Error sum for iteration 1300 = 66.60400808407468

Error sum for iteration 1400 = 66.63222167491853

Error sum for iteration 1500 = 66.73340960300658

Error sum for iteration 1600 = 66.86565854212779

Error sum for iteration 1700 = 67.00895196691445

Error sum for iteration 1800 = 67.1785408753646

Error sum for iteration 1900 = 67.24159452421912

Error sum for iteration 2000 = 66.80914252976983

Error sum for iteration 2100 = 65.95723028901934

Error sum for iteration 2200 = 64.94184408632174

Error sum for iteration 2300 = 63.91366237667741

Error sum for iteration 2400 = 62.96001296267067

Error sum for iteration 2500 = 62.072122996682936

Error sum for iteration 2600 = 61.21510080148646

Error sum for iteration 2700 = 60.39806947310507

Error sum for iteration 2800 = 59.63527958047747

Error sum for iteration 2900 = 58.91345926880591

Error sum for iteration 3000 = 58.22134617334161

Error sum for iteration 3100 = 57.53927964559761

Error sum for iteration 3200 = 56.93714790507483

Error sum for iteration 3300 = 56.3773225373332

Error sum for iteration 3400 = 55.84377770530545

Error sum for iteration 3500 = 55.32814599779809

Error sum for iteration 3600 = 54.842953168876114

Error sum for iteration 3700 = 54.394447132798625

Error sum for iteration 3800 = 54.004167140127414

Error sum for iteration 3900 = 53.67598330919929

Error sum for iteration 4000 = 53.388995969757204

Error sum for iteration 4100 = 53.12729574134568

Error sum for iteration 4200 = 52.881277142804855

Error sum for iteration 4300 = 52.64309479425205

Error sum for iteration 4400 = 52.40292915133255

Error sum for iteration 4500 = 52.15487787035754

Error sum for iteration 4600 = 51.89854411302217

Error sum for iteration 4700 = 51.62659646768439

Error sum for iteration 4800 = 51.342339270327585

Error sum for iteration 4900 = 51.04788064563466

Error sum for iteration 5000 = 50.75018173369089

Error sum for iteration 5100 = 50.452105493791876

Error sum for iteration 5200 = 50.15121023110487

Error sum for iteration 5300 = 49.85874933550326

Error sum for iteration 5400 = 49.57482360996978

Error sum for iteration 5500 = 49.29784698330459

Error sum for iteration 5600 = 49.02059431757937

Error sum for iteration 5700 = 48.74599724074621

Error sum for iteration 5800 = 48.47163860294206

Error sum for iteration 5900 = 48.199006855252456

Error sum for iteration 6000 = 47.934127146989745

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	10
	-M	0.01
Input Weights:
	0.32874677799530394	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	age
	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	workclass=Private
	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	workclass=Self-emp-not-inc
	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	workclass=Self-emp-inc
	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	workclass=Federal-gov
	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	workclass=Local-gov
	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	workclass=State-gov
	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	workclass=Without-pay
	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	workclass=Never-worked
	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	fnlwgt
	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	education=Bachelors
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	education=Some-college
	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	education=11th
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	education=HS-grad
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	education=Prof-school
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	education=Assoc-acdm
	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	education=Assoc-voc
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	education=9th
	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	education=7th-8th
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	education=12th
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	education=Masters
	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	education=1st-4th
	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	education=10th
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	education=Doctorate
	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	education=5th-6th
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	-0.005676038540946671	0.6576317768082507	-0.5530534650390093	0.27693875027756887	0.5212779718466474	-0.41144085732995084	0.5830892006148369	-0.3971231259604915	0.4401730199328522	-0.45305807802233633	native-country=England
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	-4.3315144225442026E-4	-0.2867581017526053	0.7014815742450002	0.30035031741385243	0.19879473547026483	0.38069151077637553	0.04902375973429929	0.4839427282882234	0.16528635333276775	0.46855621394137037	native-country=Canada
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	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	-0.547391050643584	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	native-country=Cuba
	0.8379558598617478	0.6839451519454984	0.8244755010341056	-0.07459528098920742	-0.1832409753681843	0.4661447324306971	0.835676376764255	0.6304985457000405	0.17392964834605062	0.40943646489100405	native-country=Iran
	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	-0.22576968061312086	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	native-country=Honduras
	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	0.3214716169420573	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	native-country=Philippines
	0.5527300023313402	-0.7920344268450215	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	-0.7489079690901248	0.27050516166835803	-0.3546311455839215	native-country=Italy
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	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	native-country=Mexico
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	-0.5996608263761698	0.21356377773002921	0.121090365066441	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	native-country=France
	0.15192557554379094	0.37855529172084945	-0.5048579113449942	-0.1491715322911087	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	native-country=Dominican-Republic
	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Laos
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	-0.8085203425632594	native-country=Ecuador
	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	0.34593722881860156	-0.678497686337189	native-country=Taiwan
	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	0.7051986706473155	0.5632862908992742	0.8632353439811542	native-country=Haiti
	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	native-country=Columbia
	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	native-country=Hungary
	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=Guatemala
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	native-country=Nicaragua
	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	native-country=Scotland
	0.606543528481188	-0.7634244472035838	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	native-country=Thailand
	0.3581266735467148	-0.5907087554116881	0.16553038095375006	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	native-country=Yugoslavia
	0.7392954988838114	0.16069947413130148	0.3034653342512357	0.3327409759386639	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	native-country=El-Salvador
	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	0.940516805553915	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	native-country=Trinadad&Tobago
	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	-0.585402630823471	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	native-country=Peru
	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	-0.32455679365790435	0.9373321468918665	0.8967453343441192	-0.8642005395225554	native-country=Hong
	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	-0.4940427810995902	-0.3284886343949929	-0.4894141683374935	native-country=Holand-Netherlands
Hidden Weights:
	0.6096269955400437	0.2630387987645799
	0.9028404081489878	-0.10827405019035607
	-0.10083691096256708	0.8245899857360901
	-0.438106593567112	-0.6645224796807754
	-0.12255824030452667	-0.20109995817886728
	-0.010793317452776341	-0.9951791785886839
	-0.5981735182977417	0.9986048884639014
	0.5917470336762745	0.9252381262064919
	-0.2592539094430446	0.35616517267602243
	0.020201652271122805	-0.27742799060918677
		>50K		<=50K

Error sum for iteration 100 = 73.30677273634899

Error sum for iteration 200 = 71.67778910312768

Error sum for iteration 300 = 71.6473938936659

Error sum for iteration 400 = 72.56826500240629

Error sum for iteration 500 = 73.65529807966247

Error sum for iteration 600 = 74.44692158886622

Error sum for iteration 700 = 74.8803805022585

Error sum for iteration 800 = 75.01147622194343

Error sum for iteration 900 = 74.90960086305292

Error sum for iteration 1000 = 74.68380479076959

Error sum for iteration 1100 = 74.38242142878336

Error sum for iteration 1200 = 74.00270805239651

Error sum for iteration 1300 = 73.54368283207725

Error sum for iteration 1400 = 73.0360610971733

Error sum for iteration 1500 = 72.48178418597037

Error sum for iteration 1600 = 71.89170743836755

Error sum for iteration 1700 = 71.25430042541575

Error sum for iteration 1800 = 70.53168061025998

Error sum for iteration 1900 = 69.71042198331318

Error sum for iteration 2000 = 68.81518272936127

Error sum for iteration 2100 = 67.8838064492137

Error sum for iteration 2200 = 66.93782953567036

Error sum for iteration 2300 = 66.04321352272741

Error sum for iteration 2400 = 65.27881285301086

Error sum for iteration 2500 = 64.51988539263256

Error sum for iteration 2600 = 63.52294678641635

Error sum for iteration 2700 = 62.322869885786346

Error sum for iteration 2800 = 61.01307424654626

Error sum for iteration 2900 = 59.62752708303295

Error sum for iteration 3000 = 58.236007933552244

Error sum for iteration 3100 = 56.90545980387781

Error sum for iteration 3200 = 55.66967520135885

Error sum for iteration 3300 = 54.56932601621111

Error sum for iteration 3400 = 53.5981354558476

Error sum for iteration 3500 = 52.728107648946335

Error sum for iteration 3600 = 51.901515081772594

Error sum for iteration 3700 = 51.12191372270607

Error sum for iteration 3800 = 50.38296274536826

Error sum for iteration 3900 = 49.686603919577685

Error sum for iteration 4000 = 49.047182784067324

Error sum for iteration 4100 = 48.437174928047874

Error sum for iteration 4200 = 47.857338148926004

Error sum for iteration 4300 = 47.30573082461926

Error sum for iteration 4400 = 46.78628431375545

Error sum for iteration 4500 = 46.29805262991532

Error sum for iteration 4600 = 45.825728816659385

Error sum for iteration 4700 = 45.37621339731478

Error sum for iteration 4800 = 44.94753807473319

Error sum for iteration 4900 = 44.52405976482341

Error sum for iteration 5000 = 44.103714038185316

Error sum for iteration 5100 = 43.68672780107065

Error sum for iteration 5200 = 43.28584373293396

Error sum for iteration 5300 = 42.908974955088745

Error sum for iteration 5400 = 42.544059567002606

Error sum for iteration 5500 = 42.19015840080083

Error sum for iteration 5600 = 41.84758964636172

Error sum for iteration 5700 = 41.51727036612543

Error sum for iteration 5800 = 41.19997252383091

Error sum for iteration 5900 = 40.89395806035389

Error sum for iteration 6000 = 40.59996571797515

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 11
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	11
	-M	0.01
Input Weights:
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	0.044490852255731905	0.8690220945175746	0.4452077308336302	-0.6126880892615194	0.22151292485912277	-0.41485952932625425	0.1546921942033288	0.08088614053886922	0.8862008038476399	-0.5638726180721987	0.17381959662847035	native-country=Cambodia
	-0.029744125310607883	-0.9593470605053993	0.5836712268022313	0.06360732016483528	-0.19369624611744385	0.32054228026735476	0.556876371256146	0.40926313130185954	0.39398220268287987	0.4998426156231477	0.7465076867532736	native-country=England
	-0.69496908931281	-0.9561891980059674	0.5629101819116218	-0.6242649450946185	0.7315942312515114	-0.7387290002119538	-0.668066718864855	0.4115303453432817	-0.2614104307601295	0.7410577873622444	0.2909256957312041	native-country=Puerto-Rico
	0.6501336995895528	-0.9469740500470107	0.6542436162680947	-0.0012303793095262971	0.6816603195122404	-0.7836273309519128	-0.43208664848166145	-0.28463941753895905	-0.5764973293228801	-0.6772142359874322	0.6734800323475634	native-country=Canada
	-0.4116436378607464	0.3991940739604978	-0.7860349409016232	0.029888530207858643	0.5541766892589806	0.10466514344446654	-0.8597550407440722	-0.8494983487293835	-0.33429288697842496	-0.8217421119165564	-0.48594485418450284	native-country=Germany
	-0.9980254781047504	0.6894059953137914	-0.34578636360452086	-0.01564691099910176	-0.6262711180384981	-0.9103284631460185	0.9355483536589089	0.8379558598617478	0.6839451519454984	0.8244755010341056	-0.07459528098920742	native-country=Outlying-US(Guam-USVI-etc)
	0.4661447324306971	0.835676376764255	0.6304985457000405	0.17392964834605062	0.40943646489100405	-0.3293660824573439	-0.9727279673016758	-0.11446208480593278	-0.014183617923336334	0.1106614424305774	0.761799284577908	native-country=India
	0.9144060435369235	0.24153446478855822	0.9306801326818455	-0.5342626832528781	0.12895068319992475	-0.28900968929278337	-0.8077499241751878	0.6389693612879568	0.15903837438866653	-0.44708189208187066	0.10782636168522064	native-country=Japan
	0.39214257423335863	-0.5947956292084824	-0.42440042711998505	-0.9144766169685712	0.5527300023313402	-0.7920344268450215	-0.5048286969780791	-0.08381766985232253	0.9163180696357749	-0.4588359914217639	0.3886291938568356	native-country=Greece
	0.27050516166835803	-0.3546311455839215	-0.39555915572657807	0.23288379518906988	0.44163853848125445	0.8666912475294573	0.9433391770677149	-0.4314778356548159	-0.6750751339392784	-0.22331472018167453	0.07076206110026106	native-country=South
	0.7874297050458863	-0.4597242433506703	0.9182997654134648	-0.18303850025282564	-0.44244856591989357	0.2395359629831384	-0.5730049512268625	-0.9339470740533402	0.27119767965586394	0.8084066800452196	0.44822962114706266	native-country=China
	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	native-country=Cuba
	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Iran
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	native-country=Honduras
	0.8899021989803995	-0.0447567624890024	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Philippines
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	0.37855529172084945	-0.5048579113449942	native-country=Italy
	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	native-country=Poland
	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	-0.30646364973387263	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	native-country=Jamaica
	0.3845444850791804	0.1373784286950115	-0.9820827971176964	-0.8085203425632594	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	native-country=Vietnam
	0.08744704308286955	0.34593722881860156	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Mexico
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	native-country=Portugal
	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	native-country=Ireland
	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=France
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	-0.1508733741128867	native-country=Dominican-Republic
	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	-0.3651800849228879	0.606543528481188	native-country=Laos
	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	-0.4356169670928338	0.3581266735467148	-0.5907087554116881	native-country=Ecuador
	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	0.9310165976189779	0.7392954988838114	0.16069947413130148	0.3034653342512357	native-country=Taiwan
	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	-0.004571183519589406	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	native-country=Haiti
	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	0.3755471399484651	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	native-country=Columbia
	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	-0.23889773168647	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	native-country=Hungary
	0.9373321468918665	0.8967453343441192	-0.8642005395225554	-0.12854564828939719	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	native-country=Guatemala
	-0.3284886343949929	-0.4894141683374935	0.5808019205705222	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	native-country=Nicaragua
	-0.10083691096256708	0.8245899857360901	0.1512791892559917	-0.438106593567112	-0.6645224796807754	-0.07736464352220218	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	native-country=Scotland
	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	0.35616517267602243	0.18611898164719043	0.020201652271122805	-0.27742799060918677	native-country=Thailand
	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Yugoslavia
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	native-country=El-Salvador
	0.8397321099858521	0.9597300981345867	0.8744383004002678	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	native-country=Trinadad&Tobago
	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	native-country=Peru
	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Hong
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Holand-Netherlands
Hidden Weights:
	0.33628167140260024	0.028488074395232044
	0.35864956892121413	-0.7778814185663405
	0.901143029148431	0.7862275704717254
	-0.05858739066027274	-0.8149688008502043
	-0.14926537689115693	-0.6024938735193561
	-0.705861251863779	-0.914434443794226
	0.5114481297202944	-0.4819883418011166
	-0.4610801173923722	0.8269490271461626
	0.9981565521540972	-0.38228144010228093
	-0.9489364140526875	-0.9481620957098928
	0.8530374300660888	0.9951247340056681
		>50K		<=50K

Error sum for iteration 100 = 65.36938068316176

Error sum for iteration 200 = 63.66931758840368

Error sum for iteration 300 = 64.77071765363948

Error sum for iteration 400 = 66.5336173846066

Error sum for iteration 500 = 68.18207030819345

Error sum for iteration 600 = 69.46326411961095

Error sum for iteration 700 = 70.24989942658785

Error sum for iteration 800 = 70.5453370250263

Error sum for iteration 900 = 70.43464850134909

Error sum for iteration 1000 = 69.98699741853993

Error sum for iteration 1100 = 69.26109636295622

Error sum for iteration 1200 = 68.32853088652557

Error sum for iteration 1300 = 67.21264920710072

Error sum for iteration 1400 = 65.95105668219742

Error sum for iteration 1500 = 64.59547462267648

Error sum for iteration 1600 = 63.17786106857401

Error sum for iteration 1700 = 61.68573840730788

Error sum for iteration 1800 = 60.16910461518616

Error sum for iteration 1900 = 58.65482158421521

Error sum for iteration 2000 = 57.16126664148944

Error sum for iteration 2100 = 55.70318452699697

Error sum for iteration 2200 = 54.268957734948586

Error sum for iteration 2300 = 52.890893952746175

Error sum for iteration 2400 = 51.57183129982814

Error sum for iteration 2500 = 50.313262360954816

Error sum for iteration 2600 = 49.13071931549171

Error sum for iteration 2700 = 48.0476690093231

Error sum for iteration 2800 = 47.06962998367754

Error sum for iteration 2900 = 46.15863773609022

Error sum for iteration 3000 = 45.301781445734186

Error sum for iteration 3100 = 44.51385415023537

Error sum for iteration 3200 = 43.76552931005747

Error sum for iteration 3300 = 43.04417705761553

Error sum for iteration 3400 = 42.347541472948514

Error sum for iteration 3500 = 41.67113923452092

Error sum for iteration 3600 = 41.01700312091772

Error sum for iteration 3700 = 40.37827079037557

Error sum for iteration 3800 = 39.763930549719745

Error sum for iteration 3900 = 39.17828178004147

Error sum for iteration 4000 = 38.6170364388121

Error sum for iteration 4100 = 38.0796275964678

Error sum for iteration 4200 = 37.58063813653509

Error sum for iteration 4300 = 37.11190269134943

Error sum for iteration 4400 = 36.66472635186669

Error sum for iteration 4500 = 36.233624384208255

Error sum for iteration 4600 = 35.82021580681692

Error sum for iteration 4700 = 35.428078160542015

Error sum for iteration 4800 = 35.05927340971178

Error sum for iteration 4900 = 34.71485182490518

Error sum for iteration 5000 = 34.381253839683765

Error sum for iteration 5100 = 34.058754171050424

Error sum for iteration 5200 = 33.74708593374565

Error sum for iteration 5300 = 33.44733759943354

Error sum for iteration 5400 = 33.158396210268414

Error sum for iteration 5500 = 32.87906380215256

Error sum for iteration 5600 = 32.609835342367

Error sum for iteration 5700 = 32.347896114137015

Error sum for iteration 5800 = 32.09154174948188

Error sum for iteration 5900 = 31.84460969194291

Error sum for iteration 6000 = 31.605037177290143

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 11
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	11
	-M	0.01
Input Weights:
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	age
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Private
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Self-emp-not-inc
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Federal-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Local-gov
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=State-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Without-pay
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Never-worked
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	fnlwgt
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	0.21403129880680472	0.9932118126017311	-0.6066760906543727	0.5996703660232463	0.9807941864998815	-0.673907041376266	0.31086468265884704	-0.40481359667199346	-0.7331415492853111	0.48324905927906014	0.4711687985384825	native-country=Cuba
	-0.6862063308011825	0.5971349709322493	0.25017922206676224	0.44950956967154343	-0.8501189506501343	0.10153692177611884	0.13048192733270003	0.38537038912165533	-0.3018549482167481	0.5107090461073085	-0.02497778904961101	native-country=Iran
	0.06861374676027454	0.1685203998486995	-0.6205103839435777	0.2625471770941772	-0.0918397154711521	0.4508285849113485	-0.12776890426089071	-0.3524123933885952	0.5504179750608433	0.16405987702914282	0.005943430073311662	native-country=Honduras
	0.8899021989803995	-0.0447567624890024	0.9732855089478578	-0.6018312465594342	-0.6013867671702278	0.4335104460433876	-0.7210575796483503	0.6109323507166959	0.5100344125621834	-0.5996608263761698	0.21356377773002921	native-country=Philippines
	-0.2854188392154413	-0.9044160335868126	-0.5996108447049036	-0.7942985801785485	-0.857804297202708	-0.3113971079353899	-0.47673576559964714	-0.3154522273102469	0.15192557554379094	0.37855529172084945	-0.5048579113449942	native-country=Italy
	-0.4950389300070579	0.4152108453587009	-0.21094582450385868	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	native-country=Poland
	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	-0.30646364973387263	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	native-country=Jamaica
	0.3845444850791804	0.1373784286950115	-0.9820827971176964	-0.8085203425632594	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	0.9529608616215541	-0.8841246981113249	-0.1961774640448397	native-country=Vietnam
	0.08744704308286955	0.34593722881860156	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Mexico
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	native-country=Portugal
	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	native-country=Ireland
	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	0.7413092964807422	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	native-country=France
	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	-0.1508733741128867	native-country=Dominican-Republic
	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	-0.3651800849228879	0.606543528481188	native-country=Laos
	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	-0.4356169670928338	0.3581266735467148	-0.5907087554116881	native-country=Ecuador
	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	0.9310165976189779	0.7392954988838114	0.16069947413130148	0.3034653342512357	native-country=Taiwan
	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	-0.004571183519589406	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	native-country=Haiti
	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	0.3755471399484651	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	native-country=Columbia
	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	-0.23889773168647	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	native-country=Hungary
	0.9373321468918665	0.8967453343441192	-0.8642005395225554	-0.12854564828939719	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	native-country=Guatemala
	-0.3284886343949929	-0.4894141683374935	0.5808019205705222	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	native-country=Nicaragua
	-0.10083691096256708	0.8245899857360901	0.1512791892559917	-0.438106593567112	-0.6645224796807754	-0.07736464352220218	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	native-country=Scotland
	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	0.35616517267602243	0.18611898164719043	0.020201652271122805	-0.27742799060918677	native-country=Thailand
	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Yugoslavia
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	native-country=El-Salvador
	0.8397321099858521	0.9597300981345867	0.8744383004002678	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	native-country=Trinadad&Tobago
	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	native-country=Peru
	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Hong
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Holand-Netherlands
Hidden Weights:
	0.33628167140260024	0.028488074395232044
	0.35864956892121413	-0.7778814185663405
	0.901143029148431	0.7862275704717254
	-0.05858739066027274	-0.8149688008502043
	-0.14926537689115693	-0.6024938735193561
	-0.705861251863779	-0.914434443794226
	0.5114481297202944	-0.4819883418011166
	-0.4610801173923722	0.8269490271461626
	0.9981565521540972	-0.38228144010228093
	-0.9489364140526875	-0.9481620957098928
	0.8530374300660888	0.9951247340056681
		>50K		<=50K

Error sum for iteration 100 = 65.73939613440228

Error sum for iteration 200 = 64.09912109284882

Error sum for iteration 300 = 64.0858058886294

Error sum for iteration 400 = 64.49510239557844

Error sum for iteration 500 = 65.19359508999052

Error sum for iteration 600 = 66.12574715912665

Error sum for iteration 700 = 67.09603484594665

Error sum for iteration 800 = 67.91159930042345

Error sum for iteration 900 = 68.4508138243752

Error sum for iteration 1000 = 68.6875379935931

Error sum for iteration 1100 = 68.6964666817224

Error sum for iteration 1200 = 68.5694437511651

Error sum for iteration 1300 = 68.32759086742513

Error sum for iteration 1400 = 68.014274371288

Error sum for iteration 1500 = 67.65923404412482

Error sum for iteration 1600 = 67.34411508141191

Error sum for iteration 1700 = 67.0773540321646

Error sum for iteration 1800 = 66.88095378336213

Error sum for iteration 1900 = 66.80471458333888

Error sum for iteration 2000 = 66.80620797069531

Error sum for iteration 2100 = 66.71625454273074

Error sum for iteration 2200 = 66.31353951787474

Error sum for iteration 2300 = 65.67554143503669

Error sum for iteration 2400 = 64.91219244036233

Error sum for iteration 2500 = 64.13762920301448

Error sum for iteration 2600 = 63.332728484375906

Error sum for iteration 2700 = 62.39643966466075

Error sum for iteration 2800 = 61.295354259843634

Error sum for iteration 2900 = 60.06533967981544

Error sum for iteration 3000 = 58.79952039216297

Error sum for iteration 3100 = 57.561119410512944

Error sum for iteration 3200 = 56.39287490085647

Error sum for iteration 3300 = 55.337531428963445

Error sum for iteration 3400 = 54.3593015892358

Error sum for iteration 3500 = 53.454162913627805

Error sum for iteration 3600 = 52.62861071083405

Error sum for iteration 3700 = 51.86482368252726

Error sum for iteration 3800 = 51.15436032013932

Error sum for iteration 3900 = 50.494065398506336

Error sum for iteration 4000 = 49.870225607689044

Error sum for iteration 4100 = 49.27983901302143

Error sum for iteration 4200 = 48.73303761577248

Error sum for iteration 4300 = 48.222188529745836

Error sum for iteration 4400 = 47.73942905905804

Error sum for iteration 4500 = 47.27444403126077

Error sum for iteration 4600 = 46.82358948024848

Error sum for iteration 4700 = 46.38606568878279

Error sum for iteration 4800 = 45.95674173405173

Error sum for iteration 4900 = 45.539721453241604

Error sum for iteration 5000 = 45.135442496763524

Error sum for iteration 5100 = 44.73614437985107

Error sum for iteration 5200 = 44.34930070359501

Error sum for iteration 5300 = 43.96864644398614

Error sum for iteration 5400 = 43.587294234297524

Error sum for iteration 5500 = 43.20885295078432

Error sum for iteration 5600 = 42.83229794632397

Error sum for iteration 5700 = 42.46144473820907

Error sum for iteration 5800 = 42.09396504255049

Error sum for iteration 5900 = 41.7317591341039

Error sum for iteration 6000 = 41.37495586031616

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 11
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	11
	-M	0.01
Input Weights:
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	age
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Private
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Self-emp-not-inc
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Federal-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Local-gov
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=State-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Without-pay
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Never-worked
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	fnlwgt
	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	education=Bachelors
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=Some-college
	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=11th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=HS-grad
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=Prof-school
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	education=Assoc-acdm
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	education=Assoc-voc
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	education=9th
	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=7th-8th
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	education=12th
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	education=Masters
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	education=1st-4th
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	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	-0.1508733741128867	native-country=Dominican-Republic
	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	-0.3651800849228879	0.606543528481188	native-country=Laos
	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	-0.4356169670928338	0.3581266735467148	-0.5907087554116881	native-country=Ecuador
	0.2640432830398831	-0.016962961848988822	0.8762508469222117	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	0.9310165976189779	0.7392954988838114	0.16069947413130148	0.3034653342512357	native-country=Taiwan
	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	-0.2625918970389143	-0.004571183519589406	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	native-country=Haiti
	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	0.3755471399484651	0.5540063967352034	-0.38087121819750425	-0.38171376697514314	-0.769607843073185	-0.8531020861987917	native-country=Columbia
	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	-0.23889773168647	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	native-country=Hungary
	0.9373321468918665	0.8967453343441192	-0.8642005395225554	-0.12854564828939719	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	native-country=Guatemala
	-0.3284886343949929	-0.4894141683374935	0.5808019205705222	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	native-country=Nicaragua
	-0.10083691096256708	0.8245899857360901	0.1512791892559917	-0.438106593567112	-0.6645224796807754	-0.07736464352220218	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	native-country=Scotland
	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	0.35616517267602243	0.18611898164719043	0.020201652271122805	-0.27742799060918677	native-country=Thailand
	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Yugoslavia
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	native-country=El-Salvador
	0.8397321099858521	0.9597300981345867	0.8744383004002678	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	native-country=Trinadad&Tobago
	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	native-country=Peru
	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Hong
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Holand-Netherlands
Hidden Weights:
	0.33628167140260024	0.028488074395232044
	0.35864956892121413	-0.7778814185663405
	0.901143029148431	0.7862275704717254
	-0.05858739066027274	-0.8149688008502043
	-0.14926537689115693	-0.6024938735193561
	-0.705861251863779	-0.914434443794226
	0.5114481297202944	-0.4819883418011166
	-0.4610801173923722	0.8269490271461626
	0.9981565521540972	-0.38228144010228093
	-0.9489364140526875	-0.9481620957098928
	0.8530374300660888	0.9951247340056681
		>50K		<=50K

Error sum for iteration 100 = 66.83472188040766

Error sum for iteration 200 = 66.19926190237214

Error sum for iteration 300 = 67.28607538186822

Error sum for iteration 400 = 68.70111661546358

Error sum for iteration 500 = 70.34083591745777

Error sum for iteration 600 = 71.94612087859531

Error sum for iteration 700 = 73.31564940683087

Error sum for iteration 800 = 74.44717554978875

Error sum for iteration 900 = 75.36259223900531

Error sum for iteration 1000 = 76.03535469020066

Error sum for iteration 1100 = 76.3757530253599

Error sum for iteration 1200 = 76.37174601764328

Error sum for iteration 1300 = 76.11233491661696

Error sum for iteration 1400 = 75.64457648149774

Error sum for iteration 1500 = 74.9466999073709

Error sum for iteration 1600 = 74.01115607329199

Error sum for iteration 1700 = 72.96477363986332

Error sum for iteration 1800 = 71.79473790133258

Error sum for iteration 1900 = 70.55279660040198

Error sum for iteration 2000 = 69.32714721962387

Error sum for iteration 2100 = 68.15686770941637

Error sum for iteration 2200 = 67.04361518073573

Error sum for iteration 2300 = 65.99552912789957

Error sum for iteration 2400 = 65.00311400600296

Error sum for iteration 2500 = 64.0594292968807

Error sum for iteration 2600 = 63.1755116617111

Error sum for iteration 2700 = 62.34617887204225

Error sum for iteration 2800 = 61.553480318626725

Error sum for iteration 2900 = 60.79668456746035

Error sum for iteration 3000 = 60.08460385165283

Error sum for iteration 3100 = 59.40357772001821

Error sum for iteration 3200 = 58.74593516947617

Error sum for iteration 3300 = 58.10227516423204

Error sum for iteration 3400 = 57.44414601208096

Error sum for iteration 3500 = 56.7755400941046

Error sum for iteration 3600 = 56.11638756856936

Error sum for iteration 3700 = 55.45826268081928

Error sum for iteration 3800 = 54.80846338100343

Error sum for iteration 3900 = 54.154361010310815

Error sum for iteration 4000 = 53.52137625135628

Error sum for iteration 4100 = 52.904513158897075

Error sum for iteration 4200 = 52.30013301388193

Error sum for iteration 4300 = 51.706182646617705

Error sum for iteration 4400 = 51.12906502617915

Error sum for iteration 4500 = 50.572364783922694

Error sum for iteration 4600 = 50.034130984942486

Error sum for iteration 4700 = 49.50593863044711

Error sum for iteration 4800 = 48.994071936065076

Error sum for iteration 4900 = 48.49034686864181

Error sum for iteration 5000 = 47.99295761815021

Error sum for iteration 5100 = 47.51635694689754

Error sum for iteration 5200 = 47.05501553677127

Error sum for iteration 5300 = 46.6067019415227

Error sum for iteration 5400 = 46.16952650402424

Error sum for iteration 5500 = 45.74160402986348

Error sum for iteration 5600 = 45.32251394360428

Error sum for iteration 5700 = 44.9080002796981

Error sum for iteration 5800 = 44.50669289435967

Error sum for iteration 5900 = 44.11881673073371

Error sum for iteration 6000 = 43.74020908897521

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 11
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	11
	-M	0.01
Input Weights:
	-0.2844606759414141	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	age
	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	workclass=Private
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Self-emp-not-inc
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Federal-gov
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Local-gov
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=State-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Without-pay
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	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=11th
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=HS-grad
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=Prof-school
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	education=Assoc-acdm
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	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	education=9th
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	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	education=12th
	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	education=Masters
	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	education=1st-4th
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	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Yugoslavia
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	native-country=El-Salvador
	0.8397321099858521	0.9597300981345867	0.8744383004002678	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	native-country=Trinadad&Tobago
	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	native-country=Peru
	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Hong
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Holand-Netherlands
Hidden Weights:
	0.33628167140260024	0.028488074395232044
	0.35864956892121413	-0.7778814185663405
	0.901143029148431	0.7862275704717254
	-0.05858739066027274	-0.8149688008502043
	-0.14926537689115693	-0.6024938735193561
	-0.705861251863779	-0.914434443794226
	0.5114481297202944	-0.4819883418011166
	-0.4610801173923722	0.8269490271461626
	0.9981565521540972	-0.38228144010228093
	-0.9489364140526875	-0.9481620957098928
	0.8530374300660888	0.9951247340056681
		>50K		<=50K

Error sum for iteration 100 = 67.62536317203973

Error sum for iteration 200 = 67.72355144786442

Error sum for iteration 300 = 69.23767689533686

Error sum for iteration 400 = 71.46353196501396

Error sum for iteration 500 = 73.87082741424506

Error sum for iteration 600 = 75.9644920484989

Error sum for iteration 700 = 77.31770198206502

Error sum for iteration 800 = 77.86810157469405

Error sum for iteration 900 = 77.79773196195556

Error sum for iteration 1000 = 77.21275762436157

Error sum for iteration 1100 = 76.19587882194942

Error sum for iteration 1200 = 74.88357464492145

Error sum for iteration 1300 = 73.46889199027895

Error sum for iteration 1400 = 72.10823262908671

Error sum for iteration 1500 = 70.86325683077739

Error sum for iteration 1600 = 69.73005635187022

Error sum for iteration 1700 = 68.62698077672866

Error sum for iteration 1800 = 67.5132007423922

Error sum for iteration 1900 = 66.38888991303362

Error sum for iteration 2000 = 65.24885158023497

Error sum for iteration 2100 = 64.11455521325549

Error sum for iteration 2200 = 62.99537380344723

Error sum for iteration 2300 = 61.904616944983935

Error sum for iteration 2400 = 60.85300615055979

Error sum for iteration 2500 = 59.84695890135867

Error sum for iteration 2600 = 58.89623434271878

Error sum for iteration 2700 = 58.01695903345499

Error sum for iteration 2800 = 57.18067201095024

Error sum for iteration 2900 = 56.37098155147773

Error sum for iteration 3000 = 55.58982993388901

Error sum for iteration 3100 = 54.833319406388

Error sum for iteration 3200 = 54.07467749149063

Error sum for iteration 3300 = 53.33142453670005

Error sum for iteration 3400 = 52.61823930465962

Error sum for iteration 3500 = 51.92801117098554

Error sum for iteration 3600 = 51.24959162535011

Error sum for iteration 3700 = 50.59117640172673

Error sum for iteration 3800 = 49.95248542501544

Error sum for iteration 3900 = 49.33515992598836

Error sum for iteration 4000 = 48.7356287254493

Error sum for iteration 4100 = 48.15473434559208

Error sum for iteration 4200 = 47.60142502828074

Error sum for iteration 4300 = 47.073483050186056

Error sum for iteration 4400 = 46.56746040960486

Error sum for iteration 4500 = 46.08203547688713

Error sum for iteration 4600 = 45.60877769715736

Error sum for iteration 4700 = 45.15228668532771

Error sum for iteration 4800 = 44.7081127156481

Error sum for iteration 4900 = 44.27915032257656

Error sum for iteration 5000 = 43.85906399923492

Error sum for iteration 5100 = 43.44724759767482

Error sum for iteration 5200 = 43.04406094661235

Error sum for iteration 5300 = 42.64625485660595

Error sum for iteration 5400 = 42.25383604898887

Error sum for iteration 5500 = 41.87392283297983

Error sum for iteration 5600 = 41.50177716137399

Error sum for iteration 5700 = 41.134165892629774

Error sum for iteration 5800 = 40.77437162624157

Error sum for iteration 5900 = 40.42407751082814

Error sum for iteration 6000 = 40.081848927542886

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 12
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	12
	-M	0.01
Input Weights:
	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	age
	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	workclass=Private
	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	workclass=Self-emp-not-inc
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	workclass=Self-emp-inc
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	workclass=Federal-gov
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	workclass=Local-gov
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	workclass=State-gov
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	workclass=Without-pay
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	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=Bachelors
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	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=7th-8th
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	education=12th
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	0.6054679933458531	0.18001155774747968	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	native-country=Peru
	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	0.13444940836047992	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	native-country=Hong
	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Holand-Netherlands
Hidden Weights:
	-0.5935556683860697	0.9024081434354652
	0.32821104789919797	0.11298187886223032
	-0.8330475962459081	-0.22126839263747633
	0.749163981694887	0.20677462614292264
	-0.3631710850273364	0.6960586212385877
	0.44697269499990067	-0.09472139338756658
	0.9272311097591575	0.20747791510614233
	-0.7185317251600383	-0.04376563565162361
	0.11604456534728302	-0.9261903396319762
	-0.7175473513694883	0.44262090494363426
	0.8936913620130253	-0.5755813900822768
	0.04293214885636076	0.17604826206862545
		>50K		<=50K

Error sum for iteration 100 = 82.60937396987035

Error sum for iteration 200 = 80.95841623774209

Error sum for iteration 300 = 80.90630820282114

Error sum for iteration 400 = 81.53878826075452

Error sum for iteration 500 = 81.89546709470143

Error sum for iteration 600 = 81.90123133885754

Error sum for iteration 700 = 81.60704930318592

Error sum for iteration 800 = 80.99075372223847

Error sum for iteration 900 = 79.95025975752921

Error sum for iteration 1000 = 78.525845709028

Error sum for iteration 1100 = 76.87116121700339

Error sum for iteration 1200 = 75.04519888989077

Error sum for iteration 1300 = 73.15738697883597

Error sum for iteration 1400 = 71.22793688682758

Error sum for iteration 1500 = 69.30487094543298

Error sum for iteration 1600 = 67.42064247170741

Error sum for iteration 1700 = 65.588836060727

Error sum for iteration 1800 = 63.76020103195918

Error sum for iteration 1900 = 61.93867469971822

Error sum for iteration 2000 = 60.14543867499792

Error sum for iteration 2100 = 58.42698295397232

Error sum for iteration 2200 = 56.79128839186668

Error sum for iteration 2300 = 55.24541092015513

Error sum for iteration 2400 = 53.82569156465938

Error sum for iteration 2500 = 52.52328018164925

Error sum for iteration 2600 = 51.322223659397935

Error sum for iteration 2700 = 50.229674821295994

Error sum for iteration 2800 = 49.23280215944357

Error sum for iteration 2900 = 48.31717333721404

Error sum for iteration 3000 = 47.471876705390876

Error sum for iteration 3100 = 46.69570569301321

Error sum for iteration 3200 = 45.995940659152055

Error sum for iteration 3300 = 45.34901281934025

Error sum for iteration 3400 = 44.756771200249005

Error sum for iteration 3500 = 44.21613412523915

Error sum for iteration 3600 = 43.73351882497144

Error sum for iteration 3700 = 43.28980649066508

Error sum for iteration 3800 = 42.877519802940675

Error sum for iteration 3900 = 42.51431845936509

Error sum for iteration 4000 = 42.189011003930126

Error sum for iteration 4100 = 41.88879032269512

Error sum for iteration 4200 = 41.605434903781386

Error sum for iteration 4300 = 41.33869948578873

Error sum for iteration 4400 = 41.09003625898735

Error sum for iteration 4500 = 40.849869652916794

Error sum for iteration 4600 = 40.61862718066065

Error sum for iteration 4700 = 40.39129810509658

Error sum for iteration 4800 = 40.1728111916737

Error sum for iteration 4900 = 39.95896077020231

Error sum for iteration 5000 = 39.751744410862514

Error sum for iteration 5100 = 39.55329758053895

Error sum for iteration 5200 = 39.35631547604922

Error sum for iteration 5300 = 39.15435077487614

Error sum for iteration 5400 = 38.94708077721812

Error sum for iteration 5500 = 38.740063604218825

Error sum for iteration 5600 = 38.527102500007715

Error sum for iteration 5700 = 38.307408721302345

Error sum for iteration 5800 = 38.08135045658493

Error sum for iteration 5900 = 37.84829951112004

Error sum for iteration 6000 = 37.61290105629287

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 12
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	12
	-M	0.01
Input Weights:
	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	age
	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	workclass=Private
	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	workclass=Self-emp-not-inc
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	workclass=Self-emp-inc
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	workclass=Federal-gov
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	workclass=Local-gov
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	workclass=State-gov
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	workclass=Without-pay
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	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=7th-8th
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	education=12th
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	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Holand-Netherlands
Hidden Weights:
	-0.5935556683860697	0.9024081434354652
	0.32821104789919797	0.11298187886223032
	-0.8330475962459081	-0.22126839263747633
	0.749163981694887	0.20677462614292264
	-0.3631710850273364	0.6960586212385877
	0.44697269499990067	-0.09472139338756658
	0.9272311097591575	0.20747791510614233
	-0.7185317251600383	-0.04376563565162361
	0.11604456534728302	-0.9261903396319762
	-0.7175473513694883	0.44262090494363426
	0.8936913620130253	-0.5755813900822768
	0.04293214885636076	0.17604826206862545
		>50K		<=50K

Error sum for iteration 100 = 82.3227265491434

Error sum for iteration 200 = 81.68985676240175

Error sum for iteration 300 = 82.41284704555274

Error sum for iteration 400 = 83.03286960026728

Error sum for iteration 500 = 83.42453565418921

Error sum for iteration 600 = 83.62458037204348

Error sum for iteration 700 = 83.66454686917382

Error sum for iteration 800 = 83.52305848848056

Error sum for iteration 900 = 83.16041481702716

Error sum for iteration 1000 = 82.55584544046019

Error sum for iteration 1100 = 81.74470417318439

Error sum for iteration 1200 = 80.78417466455248

Error sum for iteration 1300 = 79.63938065657021

Error sum for iteration 1400 = 78.31370485161774

Error sum for iteration 1500 = 76.8514859617529

Error sum for iteration 1600 = 75.28617836770576

Error sum for iteration 1700 = 73.67056885249346

Error sum for iteration 1800 = 72.04350879616433

Error sum for iteration 1900 = 70.43579119877728

Error sum for iteration 2000 = 68.85976613344117

Error sum for iteration 2100 = 67.3499363778294

Error sum for iteration 2200 = 65.91705925736466

Error sum for iteration 2300 = 64.5665074503027

Error sum for iteration 2400 = 63.32515866716428

Error sum for iteration 2500 = 62.178032383650795

Error sum for iteration 2600 = 61.094018447254555

Error sum for iteration 2700 = 60.08094400686822

Error sum for iteration 2800 = 59.11750455182867

Error sum for iteration 2900 = 58.193110752976764

Error sum for iteration 3000 = 57.29895922521733

Error sum for iteration 3100 = 56.4482404368336

Error sum for iteration 3200 = 55.62678134557648

Error sum for iteration 3300 = 54.83331658482383

Error sum for iteration 3400 = 54.07038799577647

Error sum for iteration 3500 = 53.33333165171874

Error sum for iteration 3600 = 52.62735297262214

Error sum for iteration 3700 = 51.965420123194335

Error sum for iteration 3800 = 51.32896246740154

Error sum for iteration 3900 = 50.70258584944993

Error sum for iteration 4000 = 50.097143755311045

Error sum for iteration 4100 = 49.50718012118205

Error sum for iteration 4200 = 48.940705951741634

Error sum for iteration 4300 = 48.39008959765496

Error sum for iteration 4400 = 47.846186921233176

Error sum for iteration 4500 = 47.30853356659

Error sum for iteration 4600 = 46.77789916410897

Error sum for iteration 4700 = 46.2674694890705

Error sum for iteration 4800 = 45.775774549486094

Error sum for iteration 4900 = 45.31308764085581

Error sum for iteration 5000 = 44.874838954371036

Error sum for iteration 5100 = 44.452310697139474

Error sum for iteration 5200 = 44.064027116109806

Error sum for iteration 5300 = 43.694033999411054

Error sum for iteration 5400 = 43.33170407897154

Error sum for iteration 5500 = 42.98308222061683

Error sum for iteration 5600 = 42.643141495457606

Error sum for iteration 5700 = 42.31022561256685

Error sum for iteration 5800 = 41.985314375284

Error sum for iteration 5900 = 41.669567899883326

Error sum for iteration 6000 = 41.36223994776229

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 12
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	12
	-M	0.01
Input Weights:
	-0.6817348140492099	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	age
	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	workclass=Private
	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	workclass=Self-emp-not-inc
	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	workclass=Self-emp-inc
	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	workclass=Federal-gov
	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	workclass=Local-gov
	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	workclass=State-gov
	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	workclass=Without-pay
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	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	education=Bachelors
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	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=7th-8th
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	education=12th
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Hidden Weights:
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	0.32821104789919797	0.11298187886223032
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	-0.7185317251600383	-0.04376563565162361
	0.11604456534728302	-0.9261903396319762
	-0.7175473513694883	0.44262090494363426
	0.8936913620130253	-0.5755813900822768
	0.04293214885636076	0.17604826206862545
		>50K		<=50K

Error sum for iteration 100 = 84.14367400612896

Error sum for iteration 200 = 83.01786142568398

Error sum for iteration 300 = 82.77292129403702

Error sum for iteration 400 = 83.03624692097021

Error sum for iteration 500 = 83.71301162401652

Error sum for iteration 600 = 84.64735750875117

Error sum for iteration 700 = 85.53779338726474

Error sum for iteration 800 = 86.21147214594222

Error sum for iteration 900 = 86.54523404192341

Error sum for iteration 1000 = 86.55627618073561

Error sum for iteration 1100 = 86.20476098576212

Error sum for iteration 1200 = 85.52608019715845

Error sum for iteration 1300 = 84.62077731779989

Error sum for iteration 1400 = 83.57747356524229

Error sum for iteration 1500 = 82.50046715919478

Error sum for iteration 1600 = 81.3634148942686

Error sum for iteration 1700 = 80.12786790151517

Error sum for iteration 1800 = 78.82917081031755

Error sum for iteration 1900 = 77.50215380623565

Error sum for iteration 2000 = 76.17769769642159

Error sum for iteration 2100 = 74.89864690062656

Error sum for iteration 2200 = 73.7011225962045

Error sum for iteration 2300 = 72.54534693392088

Error sum for iteration 2400 = 71.44542368526463

Error sum for iteration 2500 = 70.38733159254153

Error sum for iteration 2600 = 69.35114982841327

Error sum for iteration 2700 = 68.3524555918035

Error sum for iteration 2800 = 67.38662395424424

Error sum for iteration 2900 = 66.44500873271745

Error sum for iteration 3000 = 65.54888939936009

Error sum for iteration 3100 = 64.67845287658947

Error sum for iteration 3200 = 63.84441829265745

Error sum for iteration 3300 = 63.067192072453814

Error sum for iteration 3400 = 62.34545002285955

Error sum for iteration 3500 = 61.6701916249832

Error sum for iteration 3600 = 61.02883053650211

Error sum for iteration 3700 = 60.41601010530537

Error sum for iteration 3800 = 59.834675176554086

Error sum for iteration 3900 = 59.28214059062898

Error sum for iteration 4000 = 58.74957993224168

Error sum for iteration 4100 = 58.23000082941006

Error sum for iteration 4200 = 57.718612126684306

Error sum for iteration 4300 = 57.22912381926207

Error sum for iteration 4400 = 56.75692126563087

Error sum for iteration 4500 = 56.28497233885812

Error sum for iteration 4600 = 55.820040235191804

Error sum for iteration 4700 = 55.3691541115024

Error sum for iteration 4800 = 54.932759005823314

Error sum for iteration 4900 = 54.49992047250726

Error sum for iteration 5000 = 54.06357770154975

Error sum for iteration 5100 = 53.63136794215545

Error sum for iteration 5200 = 53.21036399531722

Error sum for iteration 5300 = 52.79822605594965

Error sum for iteration 5400 = 52.383210355219475

Error sum for iteration 5500 = 51.96992673619768

Error sum for iteration 5600 = 51.55718645312593

Error sum for iteration 5700 = 51.149687533834225

Error sum for iteration 5800 = 50.741873872308986

Error sum for iteration 5900 = 50.33298543747069

Error sum for iteration 6000 = 49.91784675048413

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 12
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	12
	-M	0.01
Input Weights:
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	-0.7385015999710749	-0.338533443226942	0.7949956105160381	0.6959649247308268	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	native-country=Haiti
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	0.9981565521540972	-0.38228144010228093	-0.20847344420331182	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	-0.9120002939010186	0.5606768523840133	0.007574783575085231	-0.91721414862699	native-country=Yugoslavia
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	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	-0.007855242841370957	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	native-country=Trinadad&Tobago
	0.6054679933458531	0.18001155774747968	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	native-country=Peru
	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	0.13444940836047992	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	native-country=Hong
	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Holand-Netherlands
Hidden Weights:
	-0.5935556683860697	0.9024081434354652
	0.32821104789919797	0.11298187886223032
	-0.8330475962459081	-0.22126839263747633
	0.749163981694887	0.20677462614292264
	-0.3631710850273364	0.6960586212385877
	0.44697269499990067	-0.09472139338756658
	0.9272311097591575	0.20747791510614233
	-0.7185317251600383	-0.04376563565162361
	0.11604456534728302	-0.9261903396319762
	-0.7175473513694883	0.44262090494363426
	0.8936913620130253	-0.5755813900822768
	0.04293214885636076	0.17604826206862545
		>50K		<=50K

Error sum for iteration 100 = 85.76169256063311

Error sum for iteration 200 = 84.75979230624215

Error sum for iteration 300 = 86.64377039768466

Error sum for iteration 400 = 88.30717659862506

Error sum for iteration 500 = 89.75508560645943

Error sum for iteration 600 = 90.80464883355496

Error sum for iteration 700 = 91.39740216912153

Error sum for iteration 800 = 91.56126271830541

Error sum for iteration 900 = 91.20644685344162

Error sum for iteration 1000 = 90.36280822658699

Error sum for iteration 1100 = 89.06330663141702

Error sum for iteration 1200 = 87.38770722390034

Error sum for iteration 1300 = 85.28925007126503

Error sum for iteration 1400 = 82.84278087494101

Error sum for iteration 1500 = 80.15676160454122

Error sum for iteration 1600 = 77.35121732915128

Error sum for iteration 1700 = 74.52925633033132

Error sum for iteration 1800 = 71.7772243562498

Error sum for iteration 1900 = 69.16221087590986

Error sum for iteration 2000 = 66.70889206529628

Error sum for iteration 2100 = 64.4507820557499

Error sum for iteration 2200 = 62.35561487012056

Error sum for iteration 2300 = 60.42569036838138

Error sum for iteration 2400 = 58.66225276166511

Error sum for iteration 2500 = 57.07176974282186

Error sum for iteration 2600 = 55.637607155896085

Error sum for iteration 2700 = 54.3500490675717

Error sum for iteration 2800 = 53.198405038400146

Error sum for iteration 2900 = 52.15676881382888

Error sum for iteration 3000 = 51.20815848220821

Error sum for iteration 3100 = 50.357487925475134

Error sum for iteration 3200 = 49.597751256463674

Error sum for iteration 3300 = 48.91204703951659

Error sum for iteration 3400 = 48.2806787133439

Error sum for iteration 3500 = 47.69759034675606

Error sum for iteration 3600 = 47.15176262596318

Error sum for iteration 3700 = 46.64636489676347

Error sum for iteration 3800 = 46.17610822392139

Error sum for iteration 3900 = 45.73404051925577

Error sum for iteration 4000 = 45.30681362713939

Error sum for iteration 4100 = 44.89146389417912

Error sum for iteration 4200 = 44.487888667613554

Error sum for iteration 4300 = 44.09866432138834

Error sum for iteration 4400 = 43.72123103161098

Error sum for iteration 4500 = 43.37374947697712

Error sum for iteration 4600 = 43.04845005704378

Error sum for iteration 4700 = 42.72935374145708

Error sum for iteration 4800 = 42.417902405243595

Error sum for iteration 4900 = 42.1157556408175

Error sum for iteration 5000 = 41.821554394239406

Error sum for iteration 5100 = 41.532958372720366

Error sum for iteration 5200 = 41.2524730961307

Error sum for iteration 5300 = 40.9843369790246

Error sum for iteration 5400 = 40.72840677184168

Error sum for iteration 5500 = 40.47699068029239

Error sum for iteration 5600 = 40.236120081867014

Error sum for iteration 5700 = 40.008870374557816

Error sum for iteration 5800 = 39.78968761163294

Error sum for iteration 5900 = 39.57761380814684

Error sum for iteration 6000 = 39.37668693916238

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 13
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	13
	-M	0.01
Input Weights:
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Hidden Weights:
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	0.16827831572278162	-0.10471968241299878
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	-0.27690049271000716	0.8941862735321
	0.8962462586770819	0.5446938607133103
	0.4047838702297073	-0.1048619612020616
	-0.9179178855604317	-0.8569870094585823
	-0.4907378396239568	0.43971851308842647
	0.7336459905626844	0.3285728342362475
	0.358006572244983	0.45830927624905526
		>50K		<=50K

Error sum for iteration 100 = 78.1151563047913

Error sum for iteration 200 = 78.37540484546537

Error sum for iteration 300 = 79.93495744760268

Error sum for iteration 400 = 81.38405990668825

Error sum for iteration 500 = 82.31128482084368

Error sum for iteration 600 = 82.74146805841748

Error sum for iteration 700 = 82.8651149638661

Error sum for iteration 800 = 82.99757051666857

Error sum for iteration 900 = 83.06916844954847

Error sum for iteration 1000 = 83.00362232092071

Error sum for iteration 1100 = 82.84653054979519

Error sum for iteration 1200 = 82.57423798701788

Error sum for iteration 1300 = 82.11750355099286

Error sum for iteration 1400 = 81.43178930572131

Error sum for iteration 1500 = 80.50215378796857

Error sum for iteration 1600 = 79.37112215250974

Error sum for iteration 1700 = 78.03911026447543

Error sum for iteration 1800 = 76.5152636499313

Error sum for iteration 1900 = 74.77647196130474

Error sum for iteration 2000 = 72.84397039507422

Error sum for iteration 2100 = 70.75185048955743

Error sum for iteration 2200 = 68.52705209704996

Error sum for iteration 2300 = 66.21425191503133

Error sum for iteration 2400 = 63.927955193776874

Error sum for iteration 2500 = 61.74370650796767

Error sum for iteration 2600 = 59.68631788257259

Error sum for iteration 2700 = 57.784551182118285

Error sum for iteration 2800 = 56.07628505458718

Error sum for iteration 2900 = 54.518731596687125

Error sum for iteration 3000 = 53.10071854009723

Error sum for iteration 3100 = 51.79556661141749

Error sum for iteration 3200 = 50.60813307530446

Error sum for iteration 3300 = 49.52716055926404

Error sum for iteration 3400 = 48.54703232507839

Error sum for iteration 3500 = 47.641576809243084

Error sum for iteration 3600 = 46.805760425078255

Error sum for iteration 3700 = 46.03315731652231

Error sum for iteration 3800 = 45.309270906496366

Error sum for iteration 3900 = 44.650399940236596

Error sum for iteration 4000 = 44.02487871902231

Error sum for iteration 4100 = 43.44464618333659

Error sum for iteration 4200 = 42.892777815477224

Error sum for iteration 4300 = 42.36253556278876

Error sum for iteration 4400 = 41.85356611749399

Error sum for iteration 4500 = 41.36676093878135

Error sum for iteration 4600 = 40.897852677647016

Error sum for iteration 4700 = 40.444007479457476

Error sum for iteration 4800 = 40.00488750066575

Error sum for iteration 4900 = 39.5841536366981

Error sum for iteration 5000 = 39.18121674995683

Error sum for iteration 5100 = 38.79014267342163

Error sum for iteration 5200 = 38.41486640104507

Error sum for iteration 5300 = 38.05708904869078

Error sum for iteration 5400 = 37.70845996094141

Error sum for iteration 5500 = 37.37018063767749

Error sum for iteration 5600 = 37.04466977852447

Error sum for iteration 5700 = 36.723405898227014

Error sum for iteration 5800 = 36.407042421424116

Error sum for iteration 5900 = 36.09848572032514

Error sum for iteration 6000 = 35.79531217128048

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 13
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	13
	-M	0.01
Input Weights:
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	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	0.8201028391878706	0.11328383400089614	native-country=Peru
	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Hong
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Holand-Netherlands
Hidden Weights:
	0.11443023060000046	-0.8175755197848438
	0.16827831572278162	-0.10471968241299878
	-0.25724333961204504	0.24672385965438104
	0.5368438233102857	-0.6971395506509055
	0.09893262849839002	-0.9668264591639326
	0.17528982757538736	-0.9171364185170041
	-0.27690049271000716	0.8941862735321
	0.8962462586770819	0.5446938607133103
	0.4047838702297073	-0.1048619612020616
	-0.9179178855604317	-0.8569870094585823
	-0.4907378396239568	0.43971851308842647
	0.7336459905626844	0.3285728342362475
	0.358006572244983	0.45830927624905526
		>50K		<=50K

Error sum for iteration 100 = 78.61897840643815

Error sum for iteration 200 = 80.8383436601039

Error sum for iteration 300 = 82.89052429210854

Error sum for iteration 400 = 84.40371903089395

Error sum for iteration 500 = 85.52350162391735

Error sum for iteration 600 = 86.47455548999957

Error sum for iteration 700 = 87.29149814427142

Error sum for iteration 800 = 87.9626803037466

Error sum for iteration 900 = 88.42607703615731

Error sum for iteration 1000 = 88.6123855412886

Error sum for iteration 1100 = 88.49624944344468

Error sum for iteration 1200 = 88.04143167702662

Error sum for iteration 1300 = 87.23628477009855

Error sum for iteration 1400 = 86.14298361067436

Error sum for iteration 1500 = 84.81199850560274

Error sum for iteration 1600 = 83.30352218987522

Error sum for iteration 1700 = 81.70437734170625

Error sum for iteration 1800 = 80.05073063952022

Error sum for iteration 1900 = 78.3780896804141

Error sum for iteration 2000 = 76.73725805600492

Error sum for iteration 2100 = 75.14342158213499

Error sum for iteration 2200 = 73.59259509611891

Error sum for iteration 2300 = 72.08843203206744

Error sum for iteration 2400 = 70.61545531943653

Error sum for iteration 2500 = 69.14572405549944

Error sum for iteration 2600 = 67.69318809484682

Error sum for iteration 2700 = 66.25447376613766

Error sum for iteration 2800 = 64.83001809615112

Error sum for iteration 2900 = 63.45303267968535

Error sum for iteration 3000 = 62.13749827968723

Error sum for iteration 3100 = 60.884818623262966

Error sum for iteration 3200 = 59.696068203498754

Error sum for iteration 3300 = 58.5927797624396

Error sum for iteration 3400 = 57.56643407663001

Error sum for iteration 3500 = 56.60061984865724

Error sum for iteration 3600 = 55.695719080754266

Error sum for iteration 3700 = 54.844253190527134

Error sum for iteration 3800 = 54.04469313534542

Error sum for iteration 3900 = 53.30121498982593

Error sum for iteration 4000 = 52.60429021144093

Error sum for iteration 4100 = 51.945086313138475

Error sum for iteration 4200 = 51.31324132678677

Error sum for iteration 4300 = 50.7207475202947

Error sum for iteration 4400 = 50.162596258530215

Error sum for iteration 4500 = 49.638950173724

Error sum for iteration 4600 = 49.148091981078075

Error sum for iteration 4700 = 48.67647630059895

Error sum for iteration 4800 = 48.22163974675883

Error sum for iteration 4900 = 47.7895909334606

Error sum for iteration 5000 = 47.384016061194345

Error sum for iteration 5100 = 46.98666746614018

Error sum for iteration 5200 = 46.60893583469028

Error sum for iteration 5300 = 46.242739404046546

Error sum for iteration 5400 = 45.8869969721564

Error sum for iteration 5500 = 45.54176358419638

Error sum for iteration 5600 = 45.207423722967626

Error sum for iteration 5700 = 44.87970767771926

Error sum for iteration 5800 = 44.56396458658075

Error sum for iteration 5900 = 44.2596757852892

Error sum for iteration 6000 = 43.95816471559218

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 13
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	13
	-M	0.01
Input Weights:
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	age
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Private
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=Self-emp-not-inc
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Self-emp-inc
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Federal-gov
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	workclass=Local-gov
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	workclass=State-gov
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Without-pay
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Never-worked
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	fnlwgt
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=Bachelors
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	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	education=9th
	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	education=7th-8th
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	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	native-country=Nicaragua
	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	native-country=Scotland
	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	native-country=Thailand
	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	native-country=Yugoslavia
	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	native-country=El-Salvador
	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	-0.687988558356337	-0.86255754171298	0.5438334587395086	0.4250430593744843	native-country=Trinadad&Tobago
	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	0.8201028391878706	0.11328383400089614	native-country=Peru
	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Hong
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Holand-Netherlands
Hidden Weights:
	0.11443023060000046	-0.8175755197848438
	0.16827831572278162	-0.10471968241299878
	-0.25724333961204504	0.24672385965438104
	0.5368438233102857	-0.6971395506509055
	0.09893262849839002	-0.9668264591639326
	0.17528982757538736	-0.9171364185170041
	-0.27690049271000716	0.8941862735321
	0.8962462586770819	0.5446938607133103
	0.4047838702297073	-0.1048619612020616
	-0.9179178855604317	-0.8569870094585823
	-0.4907378396239568	0.43971851308842647
	0.7336459905626844	0.3285728342362475
	0.358006572244983	0.45830927624905526
		>50K		<=50K

Error sum for iteration 100 = 78.40670626195123

Error sum for iteration 200 = 78.71832610379029

Error sum for iteration 300 = 79.52260955188612

Error sum for iteration 400 = 80.55489061348827

Error sum for iteration 500 = 81.72685326886905

Error sum for iteration 600 = 82.89547872355071

Error sum for iteration 700 = 84.0250592385336

Error sum for iteration 800 = 85.10303314262129

Error sum for iteration 900 = 86.03780702255935

Error sum for iteration 1000 = 86.78178754268212

Error sum for iteration 1100 = 87.35884020202735

Error sum for iteration 1200 = 87.86603805718403

Error sum for iteration 1300 = 88.17188293551739

Error sum for iteration 1400 = 88.31032819486182

Error sum for iteration 1500 = 88.17843154090102

Error sum for iteration 1600 = 87.6983037873151

Error sum for iteration 1700 = 86.82532462046184

Error sum for iteration 1800 = 85.61305166070053

Error sum for iteration 1900 = 84.14625718738169

Error sum for iteration 2000 = 82.48372498303111

Error sum for iteration 2100 = 80.68069800868375

Error sum for iteration 2200 = 78.76219836475147

Error sum for iteration 2300 = 76.84517532954146

Error sum for iteration 2400 = 74.99469137754052

Error sum for iteration 2500 = 73.27536732271545

Error sum for iteration 2600 = 71.7199327978801

Error sum for iteration 2700 = 70.30887105413332

Error sum for iteration 2800 = 69.05100867662877

Error sum for iteration 2900 = 67.91458756234975

Error sum for iteration 3000 = 66.89521482760247

Error sum for iteration 3100 = 65.98564725372499

Error sum for iteration 3200 = 65.1831115596778

Error sum for iteration 3300 = 64.45359126020345

Error sum for iteration 3400 = 63.803935782493575

Error sum for iteration 3500 = 63.20330078614302

Error sum for iteration 3600 = 62.63533600986175

Error sum for iteration 3700 = 62.09786981297921

Error sum for iteration 3800 = 61.59301851940151

Error sum for iteration 3900 = 61.120295692627096

Error sum for iteration 4000 = 60.67147701643367

Error sum for iteration 4100 = 60.25778076982856

Error sum for iteration 4200 = 59.86953388640519

Error sum for iteration 4300 = 59.5064501001619

Error sum for iteration 4400 = 59.16406831191754

Error sum for iteration 4500 = 58.83774018870345

Error sum for iteration 4600 = 58.5302935910279

Error sum for iteration 4700 = 58.24501326398047

Error sum for iteration 4800 = 57.97879658362375

Error sum for iteration 4900 = 57.725105291611506

Error sum for iteration 5000 = 57.47129823202819

Error sum for iteration 5100 = 57.21867431848654

Error sum for iteration 5200 = 56.963228044568304

Error sum for iteration 5300 = 56.708657634845885

Error sum for iteration 5400 = 56.4590142613912

Error sum for iteration 5500 = 56.20673183691753

Error sum for iteration 5600 = 55.95186310736654

Error sum for iteration 5700 = 55.69683781129328

Error sum for iteration 5800 = 55.444914777162325

Error sum for iteration 5900 = 55.194750477499255

Error sum for iteration 6000 = 54.95261457857428

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 13
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	13
	-M	0.01
Input Weights:
	0.8373759309664404	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	age
	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	workclass=Private
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	workclass=Self-emp-not-inc
	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	workclass=Self-emp-inc
	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Federal-gov
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	workclass=Local-gov
	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	workclass=State-gov
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Without-pay
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Never-worked
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	fnlwgt
	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	education=Bachelors
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	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	education=9th
	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	education=7th-8th
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	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	education=1st-4th
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	0.3897880046364339	-0.522891338351019	-0.44056198982631245	0.33628167140260024	0.028488074395232044	0.0366164569111771	0.35864956892121413	-0.7778814185663405	0.5854463239440928	0.901143029148431	0.7862275704717254	-0.7719958854429947	-0.05858739066027274	native-country=Ecuador
	-0.5779422710302287	-0.14926537689115693	-0.6024938735193561	-0.873449617209322	-0.705861251863779	-0.914434443794226	-0.23077029923509929	0.5114481297202944	-0.4819883418011166	0.38053684053393066	-0.4610801173923722	0.8269490271461626	0.5794940731435148	native-country=Taiwan
	-0.38228144010228093	-0.20847344420331182	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	-0.9120002939010186	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	native-country=Haiti
	0.5446610593500281	-0.705354289554833	0.7888560318604056	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	0.41378607331930106	0.04563972869857569	0.856325632116848	-0.5249814997906164	native-country=Columbia
	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	-0.007855242841370957	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	0.18001155774747968	0.81548969912357	native-country=Hungary
	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	native-country=Guatemala
	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	native-country=Nicaragua
	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	native-country=Scotland
	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	native-country=Thailand
	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	native-country=Yugoslavia
	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	native-country=El-Salvador
	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	-0.687988558356337	-0.86255754171298	0.5438334587395086	0.4250430593744843	native-country=Trinadad&Tobago
	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	0.8201028391878706	0.11328383400089614	native-country=Peru
	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Hong
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Holand-Netherlands
Hidden Weights:
	0.11443023060000046	-0.8175755197848438
	0.16827831572278162	-0.10471968241299878
	-0.25724333961204504	0.24672385965438104
	0.5368438233102857	-0.6971395506509055
	0.09893262849839002	-0.9668264591639326
	0.17528982757538736	-0.9171364185170041
	-0.27690049271000716	0.8941862735321
	0.8962462586770819	0.5446938607133103
	0.4047838702297073	-0.1048619612020616
	-0.9179178855604317	-0.8569870094585823
	-0.4907378396239568	0.43971851308842647
	0.7336459905626844	0.3285728342362475
	0.358006572244983	0.45830927624905526
		>50K		<=50K

Error sum for iteration 100 = 80.52011329385687

Error sum for iteration 200 = 83.45051433452713

Error sum for iteration 300 = 86.25807615754671

Error sum for iteration 400 = 88.77762215655913

Error sum for iteration 500 = 90.90496027559526

Error sum for iteration 600 = 92.5039190726212

Error sum for iteration 700 = 93.44606266681632

Error sum for iteration 800 = 93.75309925326904

Error sum for iteration 900 = 93.50555520207256

Error sum for iteration 1000 = 92.87337929637769

Error sum for iteration 1100 = 91.95991277757244

Error sum for iteration 1200 = 90.84318671644479

Error sum for iteration 1300 = 89.53927468576505

Error sum for iteration 1400 = 88.0354565646977

Error sum for iteration 1500 = 86.24628573830833

Error sum for iteration 1600 = 84.25482805907171

Error sum for iteration 1700 = 82.14642420328893

Error sum for iteration 1800 = 79.92368042886773

Error sum for iteration 1900 = 77.63932250655539

Error sum for iteration 2000 = 75.38437323698675

Error sum for iteration 2100 = 73.18333869502472

Error sum for iteration 2200 = 71.0637349581341

Error sum for iteration 2300 = 69.12516984426168

Error sum for iteration 2400 = 67.41492605923183

Error sum for iteration 2500 = 65.8848871384615

Error sum for iteration 2600 = 64.55177144651095

Error sum for iteration 2700 = 63.42516517783951

Error sum for iteration 2800 = 62.43829386728181

Error sum for iteration 2900 = 61.570889091449665

Error sum for iteration 3000 = 60.78248912002794

Error sum for iteration 3100 = 60.07408133749732

Error sum for iteration 3200 = 59.423365932569574

Error sum for iteration 3300 = 58.81982582265888

Error sum for iteration 3400 = 58.27710108900863

Error sum for iteration 3500 = 57.76951964147803

Error sum for iteration 3600 = 57.28810642223891

Error sum for iteration 3700 = 56.83379952886899

Error sum for iteration 3800 = 56.39945855433522

Error sum for iteration 3900 = 55.9880350712325

Error sum for iteration 4000 = 55.59961917673127

Error sum for iteration 4100 = 55.22470919394703

Error sum for iteration 4200 = 54.85607100636348

Error sum for iteration 4300 = 54.48541435272381

Error sum for iteration 4400 = 54.119893900377626

Error sum for iteration 4500 = 53.747760721068914

Error sum for iteration 4600 = 53.36868852181097

Error sum for iteration 4700 = 52.99348080991112

Error sum for iteration 4800 = 52.62429686727409

Error sum for iteration 4900 = 52.24880151900116

Error sum for iteration 5000 = 51.880479005398364

Error sum for iteration 5100 = 51.509454976218045

Error sum for iteration 5200 = 51.13688454417094

Error sum for iteration 5300 = 50.756984575747424

Error sum for iteration 5400 = 50.371348713068514

Error sum for iteration 5500 = 49.99474809092117

Error sum for iteration 5600 = 49.61356026278625

Error sum for iteration 5700 = 49.235622864267555

Error sum for iteration 5800 = 48.8663078300643

Error sum for iteration 5900 = 48.49088663723659

Error sum for iteration 6000 = 48.11328460295854

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 14
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	14
	-M	0.01
Input Weights:
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	age
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Private
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-not-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	workclass=Self-emp-inc
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Federal-gov
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	workclass=Local-gov
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=State-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	workclass=Without-pay
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	workclass=Never-worked
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	fnlwgt
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=Bachelors
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	education=Some-college
	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	education=11th
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	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Prof-school
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	education=Assoc-acdm
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	education=Assoc-voc
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	education=9th
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	education=7th-8th
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	education=12th
	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	education=Masters
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	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	-0.43020075509794364	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	0.35616517267602243	native-country=Honduras
	0.020201652271122805	-0.27742799060918677	-0.24064806964508945	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Philippines
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	0.9668075962177181	0.8397321099858521	0.9597300981345867	native-country=Italy
	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	0.16739468753926956	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	native-country=Poland
	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	0.887919775850555	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	native-country=Jamaica
	0.088440740929151	0.7477013537892918	-0.9779075860191788	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Vietnam
	0.3897880046364339	-0.522891338351019	-0.44056198982631245	0.33628167140260024	0.028488074395232044	0.0366164569111771	0.35864956892121413	-0.7778814185663405	0.5854463239440928	0.901143029148431	0.7862275704717254	-0.7719958854429947	-0.05858739066027274	-0.8149688008502043	native-country=Mexico
	-0.14926537689115693	-0.6024938735193561	-0.873449617209322	-0.705861251863779	-0.914434443794226	-0.23077029923509929	0.5114481297202944	-0.4819883418011166	0.38053684053393066	-0.4610801173923722	0.8269490271461626	0.5794940731435148	0.9981565521540972	-0.38228144010228093	native-country=Portugal
	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	-0.9120002939010186	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	-0.13633825503700114	0.5446610593500281	-0.705354289554833	native-country=Ireland
	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	0.41378607331930106	0.04563972869857569	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	native-country=France
	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	0.18001155774747968	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	native-country=Dominican-Republic
	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	0.13444940836047992	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	native-country=Laos
	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Ecuador
	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	native-country=Taiwan
	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	native-country=Haiti
	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	native-country=Columbia
	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	-0.687988558356337	native-country=Hungary
	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Guatemala
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	native-country=Nicaragua
	-0.8475333355179717	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Scotland
	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	native-country=Thailand
	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	native-country=Yugoslavia
	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	native-country=El-Salvador
	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Trinadad&Tobago
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	native-country=Peru
	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	native-country=Hong
	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	native-country=Holand-Netherlands
Hidden Weights:
	0.6754789812451372	-0.1361222666472186
	-0.1413568793590112	-0.649944340042907
	-0.11484958771126053	0.40343123751728305
	0.5359510102300158	-0.18035694801507218
	0.25163247027389724	0.6203180309997658
	0.4820373764578081	-0.9593649127991541
	-0.17210626008832475	0.42585742222771983
	0.667698146056507	-0.03421158786673284
	0.7546908500487937	-0.7532977553998692
	0.44930505730959425	-0.3148521782130804
	0.5614864099297769	0.8659093268538263
	0.22948059741080562	0.86348654693385
	-0.5857981008515352	-0.4839797380005284
	-0.07983277025925894	-0.005212769869343381
		>50K		<=50K

Error sum for iteration 100 = 69.37133158993117

Error sum for iteration 200 = 70.66651768546528

Error sum for iteration 300 = 71.71972658912013

Error sum for iteration 400 = 72.20350527693324

Error sum for iteration 500 = 72.78919278052885

Error sum for iteration 600 = 73.49273757453601

Error sum for iteration 700 = 74.11836978848527

Error sum for iteration 800 = 74.6166701266038

Error sum for iteration 900 = 74.95957220903094

Error sum for iteration 1000 = 75.12424313770082

Error sum for iteration 1100 = 75.04787804588787

Error sum for iteration 1200 = 74.74037695734165

Error sum for iteration 1300 = 74.22373473543963

Error sum for iteration 1400 = 73.48905957509784

Error sum for iteration 1500 = 72.57437322399953

Error sum for iteration 1600 = 71.47866686614209

Error sum for iteration 1700 = 70.21121132158984

Error sum for iteration 1800 = 68.74951611330815

Error sum for iteration 1900 = 67.10415969916905

Error sum for iteration 2000 = 65.35718546853363

Error sum for iteration 2100 = 63.554149413508405

Error sum for iteration 2200 = 61.752251991912374

Error sum for iteration 2300 = 59.98036033300759

Error sum for iteration 2400 = 58.30703790095522

Error sum for iteration 2500 = 56.756943918325014

Error sum for iteration 2600 = 55.31176398279317

Error sum for iteration 2700 = 53.99024191686847

Error sum for iteration 2800 = 52.76908663077769

Error sum for iteration 2900 = 51.63202563615597

Error sum for iteration 3000 = 50.53172024947326

Error sum for iteration 3100 = 49.45891385574579

Error sum for iteration 3200 = 48.41433335379247

Error sum for iteration 3300 = 47.411098830192635

Error sum for iteration 3400 = 46.457421523338425

Error sum for iteration 3500 = 45.54800591803914

Error sum for iteration 3600 = 44.679793850798795

Error sum for iteration 3700 = 43.844075276880936

Error sum for iteration 3800 = 43.04726642335069

Error sum for iteration 3900 = 42.2980608447199

Error sum for iteration 4000 = 41.585868630962054

Error sum for iteration 4100 = 40.9117429716704

Error sum for iteration 4200 = 40.26527225192736

Error sum for iteration 4300 = 39.65176308078273

Error sum for iteration 4400 = 39.07436417500078

Error sum for iteration 4500 = 38.52572312836495

Error sum for iteration 4600 = 37.998257079213694

Error sum for iteration 4700 = 37.489682902494174

Error sum for iteration 4800 = 36.998844922817725

Error sum for iteration 4900 = 36.53066516098021

Error sum for iteration 5000 = 36.080633615673555

Error sum for iteration 5100 = 35.64679763398448

Error sum for iteration 5200 = 35.22695020886204

Error sum for iteration 5300 = 34.823702257093736

Error sum for iteration 5400 = 34.43902894931578

Error sum for iteration 5500 = 34.0738539732575

Error sum for iteration 5600 = 33.72633185976318

Error sum for iteration 5700 = 33.39220941391275

Error sum for iteration 5800 = 33.06680326875499

Error sum for iteration 5900 = 32.753439790341766

Error sum for iteration 6000 = 32.45626961682862

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 14
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	14
	-M	0.01
Input Weights:
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	age
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Private
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-not-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	workclass=Self-emp-inc
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Federal-gov
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	workclass=Local-gov
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=State-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	workclass=Without-pay
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	workclass=Never-worked
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	fnlwgt
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=Bachelors
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	education=Some-college
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	-0.6159597686463523	-0.9332493457453293	-0.8886241600008657	0.428926756190134	0.7507216423001148	-0.33454765945189013	0.49030793740127354	-0.7744911832435675	-0.17274712463055097	-0.2718805594855056	0.5962573007293406	-0.7569318478214582	0.5199183710433553	0.6226609320718424	native-country=Cambodia
	0.19540289687233736	-0.9890445627595541	-0.7472439584422119	-0.41071312132796756	0.4951069721626238	0.9253280497680565	0.3845444850791804	0.1373784286950115	-0.9820827971176964	-0.8085203425632594	0.4280529867827463	0.6156378961935551	0.2943622369448369	-0.3396646574651858	native-country=England
	-0.8841246981113249	-0.1961774640448397	-0.3496611006521373	0.08744704308286955	0.34593722881860156	-0.678497686337189	-0.4976739093852731	-0.8694985310616703	-0.6847160570495836	-0.1432959390130928	0.9565511368069544	0.20222568721434553	-0.7396472450779528	-0.3788120930561434	native-country=Puerto-Rico
	0.5632862908992742	0.8632353439811542	0.679287828597213	0.8272293500538708	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	native-country=Canada
	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	0.5348152516352049	-0.5462523388893767	0.7113231757581615	0.2597458453965751	-0.8556410131377183	0.4191186995619194	0.6618625006914687	-0.23839135126136157	0.19871498553408729	-0.02545528460276758	native-country=Germany
	0.6917947773451674	0.2883223164076214	-0.30239765951965847	0.4156120070031999	-0.9384933534143798	-0.3848890874976296	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	native-country=Outlying-US(Guam-USVI-etc)
	-0.2811528480408272	-0.1508733741128867	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	-0.07130455372222522	-0.2790184224384715	0.09680535158185655	-0.4099040675781891	-0.12692553360087566	0.9861509867622249	-0.3651800849228879	0.606543528481188	native-country=India
	0.2277191203027762	0.7191796751287951	-0.7672513963943102	-0.7967455837213016	0.480145169524427	-0.37310004181142875	-0.05794017476937041	-0.6864860968352722	-0.4356169670928338	0.3581266735467148	-0.5907087554116881	0.16553038095375006	0.2640432830398831	-0.016962961848988822	native-country=Japan
	-0.576547544301061	-0.9504462386977968	0.4045517776392369	0.6550194780397289	0.9310165976189779	0.7392954988838114	0.16069947413130148	0.3034653342512357	0.3327409759386639	-0.1441682020718804	0.6502384296902857	0.782869552333594	-0.9791267579920981	0.11698892113885817	native-country=Greece
	-0.004571183519589406	-0.5452154974509154	-0.5043130380671002	0.07644721944787403	0.49979160828227154	0.940516805553915	-0.4109391713049475	-0.3062189202449892	-0.08432399796339785	-0.18829249592199804	0.6565511638793529	0.3755471399484651	0.5540063967352034	-0.38087121819750425	native-country=South
	-0.769607843073185	-0.8531020861987917	-0.585402630823471	-0.4507836663458704	0.4322414139382229	0.2022083792906244	-0.49397585388193943	-0.23889773168647	-0.4049951933220821	-0.5297335333490378	0.1638890756800695	-0.566398924734512	0.49095085573753616	-0.7142221163996083	native-country=China
	0.9373321468918665	0.8967453343441192	-0.8642005395225554	-0.12854564828939719	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	-0.4940427810995902	-0.3284886343949929	-0.4894141683374935	native-country=Cuba
	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	0.587839865076426	-0.10083691096256708	0.8245899857360901	0.1512791892559917	-0.438106593567112	-0.6645224796807754	native-country=Iran
	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	-0.43020075509794364	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	0.35616517267602243	native-country=Honduras
	0.020201652271122805	-0.27742799060918677	-0.24064806964508945	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=Philippines
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	0.9668075962177181	0.8397321099858521	0.9597300981345867	native-country=Italy
	-0.5574889551011895	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	0.16739468753926956	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	native-country=Poland
	-0.19930922542284701	0.571412044639358	-0.15067567850942032	0.472856834253389	0.7171620819508768	0.887919775850555	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	native-country=Jamaica
	0.088440740929151	0.7477013537892918	-0.9779075860191788	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	native-country=Vietnam
	0.3897880046364339	-0.522891338351019	-0.44056198982631245	0.33628167140260024	0.028488074395232044	0.0366164569111771	0.35864956892121413	-0.7778814185663405	0.5854463239440928	0.901143029148431	0.7862275704717254	-0.7719958854429947	-0.05858739066027274	-0.8149688008502043	native-country=Mexico
	-0.14926537689115693	-0.6024938735193561	-0.873449617209322	-0.705861251863779	-0.914434443794226	-0.23077029923509929	0.5114481297202944	-0.4819883418011166	0.38053684053393066	-0.4610801173923722	0.8269490271461626	0.5794940731435148	0.9981565521540972	-0.38228144010228093	native-country=Portugal
	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	-0.9120002939010186	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	-0.13633825503700114	0.5446610593500281	-0.705354289554833	native-country=Ireland
	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	0.41378607331930106	0.04563972869857569	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	native-country=France
	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	0.18001155774747968	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	native-country=Dominican-Republic
	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	0.13444940836047992	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	native-country=Laos
	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Ecuador
	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	native-country=Taiwan
	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	native-country=Haiti
	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	native-country=Columbia
	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	-0.687988558356337	native-country=Hungary
	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Guatemala
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	native-country=Nicaragua
	-0.8475333355179717	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Scotland
	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	native-country=Thailand
	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	native-country=Yugoslavia
	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	native-country=El-Salvador
	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Trinadad&Tobago
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	native-country=Peru
	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	native-country=Hong
	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	native-country=Holand-Netherlands
Hidden Weights:
	0.6754789812451372	-0.1361222666472186
	-0.1413568793590112	-0.649944340042907
	-0.11484958771126053	0.40343123751728305
	0.5359510102300158	-0.18035694801507218
	0.25163247027389724	0.6203180309997658
	0.4820373764578081	-0.9593649127991541
	-0.17210626008832475	0.42585742222771983
	0.667698146056507	-0.03421158786673284
	0.7546908500487937	-0.7532977553998692
	0.44930505730959425	-0.3148521782130804
	0.5614864099297769	0.8659093268538263
	0.22948059741080562	0.86348654693385
	-0.5857981008515352	-0.4839797380005284
	-0.07983277025925894	-0.005212769869343381
		>50K		<=50K

Error sum for iteration 100 = 71.73329276737267

Error sum for iteration 200 = 74.1145907499846

Error sum for iteration 300 = 75.02882467856769

Error sum for iteration 400 = 75.65945666306973

Error sum for iteration 500 = 76.31000644561614

Error sum for iteration 600 = 77.16960171718569

Error sum for iteration 700 = 78.13406560136241

Error sum for iteration 800 = 79.06079032076006

Error sum for iteration 900 = 79.70478263144469

Error sum for iteration 1000 = 80.0228953604919

Error sum for iteration 1100 = 80.09337693616591

Error sum for iteration 1200 = 79.91249022752643

Error sum for iteration 1300 = 79.57288240174799

Error sum for iteration 1400 = 79.08593687564756

Error sum for iteration 1500 = 78.45422811603906

Error sum for iteration 1600 = 77.68280077028393

Error sum for iteration 1700 = 76.80320772406742

Error sum for iteration 1800 = 75.84567051008707

Error sum for iteration 1900 = 74.7949700797234

Error sum for iteration 2000 = 73.63310995961962

Error sum for iteration 2100 = 72.39769184402412

Error sum for iteration 2200 = 71.05984704702355

Error sum for iteration 2300 = 69.61761151800174

Error sum for iteration 2400 = 68.10703228044682

Error sum for iteration 2500 = 66.54498524904172

Error sum for iteration 2600 = 64.9994814324088

Error sum for iteration 2700 = 63.46662220075708

Error sum for iteration 2800 = 61.97489708721342

Error sum for iteration 2900 = 60.53962643552468

Error sum for iteration 3000 = 59.18504457093132

Error sum for iteration 3100 = 57.919707886087906

Error sum for iteration 3200 = 56.73753226931054

Error sum for iteration 3300 = 55.640414533163515

Error sum for iteration 3400 = 54.60938790868354

Error sum for iteration 3500 = 53.63559695657288

Error sum for iteration 3600 = 52.71189767369382

Error sum for iteration 3700 = 51.8303586567644

Error sum for iteration 3800 = 51.00112987014064

Error sum for iteration 3900 = 50.245121502662975

Error sum for iteration 4000 = 49.53320733455032

Error sum for iteration 4100 = 48.85897827432307

Error sum for iteration 4200 = 48.235742403664084

Error sum for iteration 4300 = 47.64570166289301

Error sum for iteration 4400 = 47.087561483553266

Error sum for iteration 4500 = 46.558974838127654

Error sum for iteration 4600 = 46.05890947564274

Error sum for iteration 4700 = 45.577499404289895

Error sum for iteration 4800 = 45.11405888013626

Error sum for iteration 4900 = 44.66597282622442

Error sum for iteration 5000 = 44.244901569888874

Error sum for iteration 5100 = 43.84958165062187

Error sum for iteration 5200 = 43.46335300382724

Error sum for iteration 5300 = 43.08935921350319

Error sum for iteration 5400 = 42.730783238324236

Error sum for iteration 5500 = 42.390308502665235

Error sum for iteration 5600 = 42.06112717600876

Error sum for iteration 5700 = 41.745790202516396

Error sum for iteration 5800 = 41.446456728844346

Error sum for iteration 5900 = 41.15626734395592

Error sum for iteration 6000 = 40.87551437323442

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 14
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	14
	-M	0.01
Input Weights:
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	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	native-country=Hong
	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	native-country=Holand-Netherlands
Hidden Weights:
	0.6754789812451372	-0.1361222666472186
	-0.1413568793590112	-0.649944340042907
	-0.11484958771126053	0.40343123751728305
	0.5359510102300158	-0.18035694801507218
	0.25163247027389724	0.6203180309997658
	0.4820373764578081	-0.9593649127991541
	-0.17210626008832475	0.42585742222771983
	0.667698146056507	-0.03421158786673284
	0.7546908500487937	-0.7532977553998692
	0.44930505730959425	-0.3148521782130804
	0.5614864099297769	0.8659093268538263
	0.22948059741080562	0.86348654693385
	-0.5857981008515352	-0.4839797380005284
	-0.07983277025925894	-0.005212769869343381
		>50K		<=50K

Error sum for iteration 100 = 69.77668853064388

Error sum for iteration 200 = 69.45303955537412

Error sum for iteration 300 = 70.5593758700634

Error sum for iteration 400 = 71.08530496178709

Error sum for iteration 500 = 71.69839405503676

Error sum for iteration 600 = 72.87228503430713

Error sum for iteration 700 = 73.99574459385377

Error sum for iteration 800 = 74.88346556307052

Error sum for iteration 900 = 75.50676000336085

Error sum for iteration 1000 = 75.9505256848336

Error sum for iteration 1100 = 76.31599631440642

Error sum for iteration 1200 = 76.6423974349141

Error sum for iteration 1300 = 76.94125383698234

Error sum for iteration 1400 = 77.29847617686526

Error sum for iteration 1500 = 77.65307798323148

Error sum for iteration 1600 = 77.93724693719214

Error sum for iteration 1700 = 78.0515818026375

Error sum for iteration 1800 = 77.96826149622866

Error sum for iteration 1900 = 77.70435171217295

Error sum for iteration 2000 = 77.28242021115949

Error sum for iteration 2100 = 76.73214148724706

Error sum for iteration 2200 = 76.10157010807595

Error sum for iteration 2300 = 75.39219496952471

Error sum for iteration 2400 = 74.66946321495782

Error sum for iteration 2500 = 73.90577652299517

Error sum for iteration 2600 = 73.11427993994212

Error sum for iteration 2700 = 72.35483188864345

Error sum for iteration 2800 = 71.61970968355503

Error sum for iteration 2900 = 70.89276525039433

Error sum for iteration 3000 = 70.1753091501002

Error sum for iteration 3100 = 69.46765794942185

Error sum for iteration 3200 = 68.78237698736105

Error sum for iteration 3300 = 68.14524137326111

Error sum for iteration 3400 = 67.51799784676528

Error sum for iteration 3500 = 66.88423752580076

Error sum for iteration 3600 = 66.24252946146507

Error sum for iteration 3700 = 65.58491828960696

Error sum for iteration 3800 = 64.90924086899632

Error sum for iteration 3900 = 64.25072180476182

Error sum for iteration 4000 = 63.592096088279334

Error sum for iteration 4100 = 62.951422630090896

Error sum for iteration 4200 = 62.325808968215725

Error sum for iteration 4300 = 61.716317986689845

Error sum for iteration 4400 = 61.14106799137013

Error sum for iteration 4500 = 60.580374431519544

Error sum for iteration 4600 = 60.031033485568635

Error sum for iteration 4700 = 59.49789190865892

Error sum for iteration 4800 = 58.976986431863565

Error sum for iteration 4900 = 58.466419776142885

Error sum for iteration 5000 = 57.98638331289074

Error sum for iteration 5100 = 57.51734596701156

Error sum for iteration 5200 = 57.070980956004

Error sum for iteration 5300 = 56.637825245192836

Error sum for iteration 5400 = 56.21661722855642

Error sum for iteration 5500 = 55.80269288576004

Error sum for iteration 5600 = 55.39670353997618

Error sum for iteration 5700 = 54.99974425278718

Error sum for iteration 5800 = 54.62531438308483

Error sum for iteration 5900 = 54.266017348041856

Error sum for iteration 6000 = 53.912522428069394

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 14
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	14
	-M	0.01
Input Weights:
	-0.04692272442491907	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	age
	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	workclass=Private
	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Self-emp-not-inc
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	workclass=Self-emp-inc
	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Federal-gov
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	workclass=Local-gov
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=State-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	workclass=Without-pay
	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	workclass=Never-worked
	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	fnlwgt
	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	education=Bachelors
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	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Prof-school
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	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	education=Assoc-voc
	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	education=9th
	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	education=7th-8th
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	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	native-country=Ecuador
	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	native-country=Taiwan
	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	native-country=Haiti
	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	native-country=Columbia
	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	-0.687988558356337	native-country=Hungary
	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Guatemala
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	native-country=Nicaragua
	-0.8475333355179717	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	native-country=Scotland
	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	native-country=Thailand
	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	native-country=Yugoslavia
	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	native-country=El-Salvador
	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Trinadad&Tobago
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	native-country=Peru
	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	native-country=Hong
	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	native-country=Holand-Netherlands
Hidden Weights:
	0.6754789812451372	-0.1361222666472186
	-0.1413568793590112	-0.649944340042907
	-0.11484958771126053	0.40343123751728305
	0.5359510102300158	-0.18035694801507218
	0.25163247027389724	0.6203180309997658
	0.4820373764578081	-0.9593649127991541
	-0.17210626008832475	0.42585742222771983
	0.667698146056507	-0.03421158786673284
	0.7546908500487937	-0.7532977553998692
	0.44930505730959425	-0.3148521782130804
	0.5614864099297769	0.8659093268538263
	0.22948059741080562	0.86348654693385
	-0.5857981008515352	-0.4839797380005284
	-0.07983277025925894	-0.005212769869343381
		>50K		<=50K

Error sum for iteration 100 = 71.12662990625505

Error sum for iteration 200 = 72.89462196320028

Error sum for iteration 300 = 74.57391699414222

Error sum for iteration 400 = 76.21335295411419

Error sum for iteration 500 = 78.04695303021975

Error sum for iteration 600 = 80.00843220788698

Error sum for iteration 700 = 81.87138489172297

Error sum for iteration 800 = 83.49975651367119

Error sum for iteration 900 = 85.00272869601196

Error sum for iteration 1000 = 86.6057464240088

Error sum for iteration 1100 = 88.11881194956055

Error sum for iteration 1200 = 89.4401609017163

Error sum for iteration 1300 = 90.48301484667678

Error sum for iteration 1400 = 91.13710759512495

Error sum for iteration 1500 = 91.40165047660308

Error sum for iteration 1600 = 91.2246389691132

Error sum for iteration 1700 = 90.64167334591575

Error sum for iteration 1800 = 89.6925380377657

Error sum for iteration 1900 = 88.43894358008716

Error sum for iteration 2000 = 86.90590860036335

Error sum for iteration 2100 = 85.15655474966006

Error sum for iteration 2200 = 83.24032161974405

Error sum for iteration 2300 = 81.2403041758189

Error sum for iteration 2400 = 79.18492191528254

Error sum for iteration 2500 = 77.12314995654387

Error sum for iteration 2600 = 75.09926884821584

Error sum for iteration 2700 = 73.1278948533963

Error sum for iteration 2800 = 71.24582392129913

Error sum for iteration 2900 = 69.44575500378558

Error sum for iteration 3000 = 67.76540590420454

Error sum for iteration 3100 = 66.2288812012958

Error sum for iteration 3200 = 64.8176416619136

Error sum for iteration 3300 = 63.546035006505285

Error sum for iteration 3400 = 62.38139309240873

Error sum for iteration 3500 = 61.32128578452009

Error sum for iteration 3600 = 60.3451615714484

Error sum for iteration 3700 = 59.46227583780842

Error sum for iteration 3800 = 58.66561884574748

Error sum for iteration 3900 = 57.947754383070205

Error sum for iteration 4000 = 57.291765024698606

Error sum for iteration 4100 = 56.687001849832974

Error sum for iteration 4200 = 56.12078801802839

Error sum for iteration 4300 = 55.580784023630116

Error sum for iteration 4400 = 55.069662781513145

Error sum for iteration 4500 = 54.587636893033135

Error sum for iteration 4600 = 54.13393056927737

Error sum for iteration 4700 = 53.71317435045477

Error sum for iteration 4800 = 53.32038421916855

Error sum for iteration 4900 = 52.95949683189833

Error sum for iteration 5000 = 52.61363727645109

Error sum for iteration 5100 = 52.27579086828113

Error sum for iteration 5200 = 51.95279419520785

Error sum for iteration 5300 = 51.640091637262465

Error sum for iteration 5400 = 51.34218141945966

Error sum for iteration 5500 = 51.05358170867448

Error sum for iteration 5600 = 50.77098593374783

Error sum for iteration 5700 = 50.48851727491724

Error sum for iteration 5800 = 50.21203797685206

Error sum for iteration 5900 = 49.94355833942003

Error sum for iteration 6000 = 49.680673409446165

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 15
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	15
	-M	0.01
Input Weights:
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	age
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Private
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=Self-emp-not-inc
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=Federal-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	workclass=Local-gov
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	workclass=State-gov
	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=Without-pay
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=Never-worked
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	fnlwgt
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=Bachelors
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	education=Some-college
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	education=11th
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=HS-grad
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	education=Prof-school
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	education=Assoc-acdm
	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	education=Assoc-voc
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	0.29236312644143125	-0.14400935763483202	0.37929161559298885	education=9th
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	education=7th-8th
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	0.9256631212695201	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	education=12th
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	-0.3284886343949929	-0.4894141683374935	0.5808019205705222	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	0.587839865076426	-0.10083691096256708	0.8245899857360901	0.1512791892559917	native-country=Japan
	-0.6645224796807754	-0.07736464352220218	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	-0.43020075509794364	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	native-country=Greece
	0.18611898164719043	0.020201652271122805	-0.27742799060918677	-0.24064806964508945	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=South
	0.945800070092331	0.14623960507416722	0.5209074287021274	-0.15307213222159888	0.9094726020831583	-0.13418524994353498	-0.9846956778032316	0.6297757366368932	0.7647422754849118	-0.11836899125701694	-0.06805819446478978	0.9668075962177181	0.8397321099858521	0.9597300981345867	0.8744383004002678	native-country=China
	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	0.16739468753926956	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	native-country=Cuba
	-0.15067567850942032	0.472856834253389	0.7171620819508768	0.887919775850555	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Iran
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	0.5488093146307484	0.3897880046364339	-0.522891338351019	-0.44056198982631245	native-country=Honduras
	0.028488074395232044	0.0366164569111771	0.35864956892121413	-0.7778814185663405	0.5854463239440928	0.901143029148431	0.7862275704717254	-0.7719958854429947	-0.05858739066027274	-0.8149688008502043	-0.5779422710302287	-0.14926537689115693	-0.6024938735193561	-0.873449617209322	-0.705861251863779	native-country=Philippines
	-0.23077029923509929	0.5114481297202944	-0.4819883418011166	0.38053684053393066	-0.4610801173923722	0.8269490271461626	0.5794940731435148	0.9981565521540972	-0.38228144010228093	-0.20847344420331182	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	native-country=Italy
	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	-0.13633825503700114	0.5446610593500281	-0.705354289554833	0.7888560318604056	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	native-country=Poland
	0.04563972869857569	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	-0.007855242841370957	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	native-country=Jamaica
	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	native-country=Vietnam
	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	native-country=Mexico
	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	native-country=Portugal
	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	native-country=Ireland
	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	native-country=France
	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	native-country=Dominican-Republic
	-0.86255754171298	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Laos
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Ecuador
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	native-country=Taiwan
	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	native-country=Haiti
	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	native-country=Columbia
	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	native-country=Hungary
	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	0.06712110825781559	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	native-country=Guatemala
	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	native-country=Nicaragua
	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	native-country=Scotland
	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	native-country=Thailand
	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	native-country=Yugoslavia
	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	native-country=El-Salvador
	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Trinadad&Tobago
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	native-country=Peru
	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	native-country=Hong
	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	native-country=Holand-Netherlands
Hidden Weights:
	-0.932400957909391	-0.3010428000629959
	0.3664092070317644	-0.5559432284989232
	-0.5251401522484951	0.8704923337358601
	-0.8308596237320496	-0.8087611689733551
	-0.7375807321624765	0.1543523233413442
	0.04465036157278868	0.5839821344169129
	-0.4747318094776156	-0.7869783822473202
	0.8958335839615781	0.534713852733242
	0.7847068021936716	-0.5478918671323567
	0.1555278851398203	-0.6457946590886625
	-0.18529502505441298	-0.553958408119543
	0.8247277848514643	0.36001365068058555
	-0.4550486344536466	0.17786686123242723
	-0.5503788631461393	0.385438417684838
	-0.31238608286662717	0.40615106995825156
		>50K		<=50K

Error sum for iteration 100 = 67.43497228085495

Error sum for iteration 200 = 65.79816385981724

Error sum for iteration 300 = 66.41399437260867

Error sum for iteration 400 = 67.71336781698976

Error sum for iteration 500 = 68.84118330732834

Error sum for iteration 600 = 69.68700373959975

Error sum for iteration 700 = 70.43322082199185

Error sum for iteration 800 = 71.11263810201876

Error sum for iteration 900 = 71.69015781655735

Error sum for iteration 1000 = 72.09035262081701

Error sum for iteration 1100 = 72.26726682426815

Error sum for iteration 1200 = 72.20454184423758

Error sum for iteration 1300 = 71.92485821752874

Error sum for iteration 1400 = 71.4994612777046

Error sum for iteration 1500 = 70.93630426443843

Error sum for iteration 1600 = 70.25251964962901

Error sum for iteration 1700 = 69.51249091440216

Error sum for iteration 1800 = 68.7752990677738

Error sum for iteration 1900 = 68.00667089043324

Error sum for iteration 2000 = 67.14738134026211

Error sum for iteration 2100 = 66.1696268000933

Error sum for iteration 2200 = 65.08172167330602

Error sum for iteration 2300 = 63.88990885656129

Error sum for iteration 2400 = 62.60763112674286

Error sum for iteration 2500 = 61.28364536707419

Error sum for iteration 2600 = 59.9265178184256

Error sum for iteration 2700 = 58.54926523690736

Error sum for iteration 2800 = 57.17327809394475

Error sum for iteration 2900 = 55.80800136012443

Error sum for iteration 3000 = 54.456961648288534

Error sum for iteration 3100 = 53.13749032369534

Error sum for iteration 3200 = 51.841316614545725

Error sum for iteration 3300 = 50.576443656507635

Error sum for iteration 3400 = 49.383774637560585

Error sum for iteration 3500 = 48.255616291113554

Error sum for iteration 3600 = 47.199828655288364

Error sum for iteration 3700 = 46.231550373171515

Error sum for iteration 3800 = 45.35268043766531

Error sum for iteration 3900 = 44.558494778893575

Error sum for iteration 4000 = 43.84855227788581

Error sum for iteration 4100 = 43.19906223066354

Error sum for iteration 4200 = 42.60557608347798

Error sum for iteration 4300 = 42.06944211972048

Error sum for iteration 4400 = 41.591367541412964

Error sum for iteration 4500 = 41.16154202347826

Error sum for iteration 4600 = 40.772409187244385

Error sum for iteration 4700 = 40.41708540622199

Error sum for iteration 4800 = 40.087746500036474

Error sum for iteration 4900 = 39.77540263797951

Error sum for iteration 5000 = 39.47453870210982

Error sum for iteration 5100 = 39.1816084328851

Error sum for iteration 5200 = 38.897938625687964

Error sum for iteration 5300 = 38.619826727502414

Error sum for iteration 5400 = 38.3462980242638

Error sum for iteration 5500 = 38.078139300541544

Error sum for iteration 5600 = 37.813065173951216

Error sum for iteration 5700 = 37.55453782650873

Error sum for iteration 5800 = 37.29870141415924

Error sum for iteration 5900 = 37.042275177446314

Error sum for iteration 6000 = 36.78667369534288

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 15
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	15
	-M	0.01
Input Weights:
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	age
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Private
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=Self-emp-not-inc
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	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	native-country=El-Salvador
	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Trinadad&Tobago
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	native-country=Peru
	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	native-country=Hong
	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	native-country=Holand-Netherlands
Hidden Weights:
	-0.932400957909391	-0.3010428000629959
	0.3664092070317644	-0.5559432284989232
	-0.5251401522484951	0.8704923337358601
	-0.8308596237320496	-0.8087611689733551
	-0.7375807321624765	0.1543523233413442
	0.04465036157278868	0.5839821344169129
	-0.4747318094776156	-0.7869783822473202
	0.8958335839615781	0.534713852733242
	0.7847068021936716	-0.5478918671323567
	0.1555278851398203	-0.6457946590886625
	-0.18529502505441298	-0.553958408119543
	0.8247277848514643	0.36001365068058555
	-0.4550486344536466	0.17786686123242723
	-0.5503788631461393	0.385438417684838
	-0.31238608286662717	0.40615106995825156
		>50K		<=50K

Error sum for iteration 100 = 68.05637529533489

Error sum for iteration 200 = 66.92283308443261

Error sum for iteration 300 = 66.95595145597409

Error sum for iteration 400 = 67.66506942206937

Error sum for iteration 500 = 68.66501767844008

Error sum for iteration 600 = 69.74461008368559

Error sum for iteration 700 = 70.87044595351955

Error sum for iteration 800 = 71.9981132103837

Error sum for iteration 900 = 73.10242384672752

Error sum for iteration 1000 = 74.09154141955669

Error sum for iteration 1100 = 74.84221300953413

Error sum for iteration 1200 = 75.17689122326424

Error sum for iteration 1300 = 75.01001707315653

Error sum for iteration 1400 = 74.40930814715077

Error sum for iteration 1500 = 73.4983993905772

Error sum for iteration 1600 = 72.38024841914589

Error sum for iteration 1700 = 71.09292008061207

Error sum for iteration 1800 = 69.71408134819325

Error sum for iteration 1900 = 68.29076160744499

Error sum for iteration 2000 = 66.82831362014872

Error sum for iteration 2100 = 65.36227607384268

Error sum for iteration 2200 = 63.913923165419156

Error sum for iteration 2300 = 62.509680600539845

Error sum for iteration 2400 = 61.20191974310675

Error sum for iteration 2500 = 59.9773448165905

Error sum for iteration 2600 = 58.82178979306022

Error sum for iteration 2700 = 57.751893236861186

Error sum for iteration 2800 = 56.74554532459318

Error sum for iteration 2900 = 55.77858739281478

Error sum for iteration 3000 = 54.856668657057114

Error sum for iteration 3100 = 53.96256601049717

Error sum for iteration 3200 = 53.11216425356706

Error sum for iteration 3300 = 52.291052674910844

Error sum for iteration 3400 = 51.48616975885194

Error sum for iteration 3500 = 50.70163442597986

Error sum for iteration 3600 = 49.931800171324376

Error sum for iteration 3700 = 49.1714044387217

Error sum for iteration 3800 = 48.43890100317779

Error sum for iteration 3900 = 47.74237376242186

Error sum for iteration 4000 = 47.0730422379608

Error sum for iteration 4100 = 46.43440155596326

Error sum for iteration 4200 = 45.83933455715957

Error sum for iteration 4300 = 45.28723210511188

Error sum for iteration 4400 = 44.77592947994695

Error sum for iteration 4500 = 44.29941462395367

Error sum for iteration 4600 = 43.85194931966576

Error sum for iteration 4700 = 43.424766872709235

Error sum for iteration 4800 = 43.00742913810715

Error sum for iteration 4900 = 42.60764327098891

Error sum for iteration 5000 = 42.233104633553474

Error sum for iteration 5100 = 41.875102612289766

Error sum for iteration 5200 = 41.536153390467916

Error sum for iteration 5300 = 41.22036887138493

Error sum for iteration 5400 = 40.921325651143924

Error sum for iteration 5500 = 40.62732848007102

Error sum for iteration 5600 = 40.337429280884564

Error sum for iteration 5700 = 40.06052560549459

Error sum for iteration 5800 = 39.793065424953916

Error sum for iteration 5900 = 39.52914183627755

Error sum for iteration 6000 = 39.265309913503984

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 15
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	15
	-M	0.01
Input Weights:
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	age
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Private
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=Self-emp-not-inc
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=Federal-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	workclass=Local-gov
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	workclass=State-gov
	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=Without-pay
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=Never-worked
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	fnlwgt
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=Bachelors
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	education=Some-college
	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	education=11th
	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=HS-grad
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	education=Prof-school
	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	education=Assoc-acdm
	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	education=Assoc-voc
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	0.29236312644143125	-0.14400935763483202	0.37929161559298885	education=9th
	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	education=7th-8th
	-0.46965793778935394	-0.19368225926117932	0.909566023324327	-0.043788621156186425	-0.5084055327325421	-0.4815883570951651	-0.2746498275516387	-0.8063739236831671	-0.4836761987068492	0.9256631212695201	0.4580697097819457	-0.7592234023114612	-0.5689759423798064	-0.06268335466747144	-0.2939284262539452	education=12th
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	0.2545468291786448	-0.614532418484848	0.5985097285208609	0.6387568034921116	-0.5585588320469588	-0.97348591607918	-0.04716559366509587	0.8117613401417878	0.035690157518592835	0.41989555522131616	0.021686146344013002	0.46815483809023584	-0.5558056384214014	-0.3041174976309826	0.3754491780654585	education=Doctorate
	-0.6213992120483436	0.3485432749220536	0.6640615106242982	0.6432126984953352	0.734109088760442	-0.8701675232547763	-0.7619560255279945	-0.5569524920988693	0.43644252574578	-0.8980772178573757	0.48760242109777585	-0.21150650076288002	-0.47122711219329516	-0.833067346727385	0.44210006521376566	education=5th-6th
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	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	-0.13633825503700114	0.5446610593500281	-0.705354289554833	0.7888560318604056	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	native-country=Poland
	0.04563972869857569	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	-0.007855242841370957	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	native-country=Jamaica
	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	native-country=Vietnam
	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	native-country=Mexico
	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	native-country=Portugal
	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	native-country=Ireland
	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	native-country=France
	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	native-country=Dominican-Republic
	-0.86255754171298	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Laos
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Ecuador
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	native-country=Taiwan
	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	native-country=Haiti
	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	native-country=Columbia
	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	native-country=Hungary
	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	0.06712110825781559	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	native-country=Guatemala
	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	native-country=Nicaragua
	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	native-country=Scotland
	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	native-country=Thailand
	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	native-country=Yugoslavia
	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	native-country=El-Salvador
	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Trinadad&Tobago
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	native-country=Peru
	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	native-country=Hong
	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	native-country=Holand-Netherlands
Hidden Weights:
	-0.932400957909391	-0.3010428000629959
	0.3664092070317644	-0.5559432284989232
	-0.5251401522484951	0.8704923337358601
	-0.8308596237320496	-0.8087611689733551
	-0.7375807321624765	0.1543523233413442
	0.04465036157278868	0.5839821344169129
	-0.4747318094776156	-0.7869783822473202
	0.8958335839615781	0.534713852733242
	0.7847068021936716	-0.5478918671323567
	0.1555278851398203	-0.6457946590886625
	-0.18529502505441298	-0.553958408119543
	0.8247277848514643	0.36001365068058555
	-0.4550486344536466	0.17786686123242723
	-0.5503788631461393	0.385438417684838
	-0.31238608286662717	0.40615106995825156
		>50K		<=50K

Error sum for iteration 100 = 67.64657359750265

Error sum for iteration 200 = 64.20871254621404

Error sum for iteration 300 = 62.51079609988171

Error sum for iteration 400 = 61.82023320043773

Error sum for iteration 500 = 61.92663302367412

Error sum for iteration 600 = 62.6043445439465

Error sum for iteration 700 = 63.736814564643524

Error sum for iteration 800 = 65.22400525790007

Error sum for iteration 900 = 66.85767478951904

Error sum for iteration 1000 = 68.37926852045057

Error sum for iteration 1100 = 69.69731429838254

Error sum for iteration 1200 = 70.8424311516555

Error sum for iteration 1300 = 71.88837436259597

Error sum for iteration 1400 = 72.88255443226993

Error sum for iteration 1500 = 73.84232483055311

Error sum for iteration 1600 = 74.70809011235724

Error sum for iteration 1700 = 75.42723887398967

Error sum for iteration 1800 = 75.94526258158541

Error sum for iteration 1900 = 76.20469422790272

Error sum for iteration 2000 = 76.18908680778937

Error sum for iteration 2100 = 75.88501844582089

Error sum for iteration 2200 = 75.31745540841617

Error sum for iteration 2300 = 74.54854569887418

Error sum for iteration 2400 = 73.65164640280885

Error sum for iteration 2500 = 72.70743143261078

Error sum for iteration 2600 = 71.71086218406224

Error sum for iteration 2700 = 70.67648080314875

Error sum for iteration 2800 = 69.62046382483663

Error sum for iteration 2900 = 68.57046895230563

Error sum for iteration 3000 = 67.55658394834234

Error sum for iteration 3100 = 66.58330863045819

Error sum for iteration 3200 = 65.64490625543212

Error sum for iteration 3300 = 64.75160359405344

Error sum for iteration 3400 = 63.90608691455666

Error sum for iteration 3500 = 63.1270119466509

Error sum for iteration 3600 = 62.39197395073995

Error sum for iteration 3700 = 61.70300231897973

Error sum for iteration 3800 = 61.06292766438963

Error sum for iteration 3900 = 60.45220841693252

Error sum for iteration 4000 = 59.86346597302571

Error sum for iteration 4100 = 59.29282387181031

Error sum for iteration 4200 = 58.73909224578539

Error sum for iteration 4300 = 58.20243559519843

Error sum for iteration 4400 = 57.68256294287488

Error sum for iteration 4500 = 57.17537117797838

Error sum for iteration 4600 = 56.70114519721302

Error sum for iteration 4700 = 56.241997189761115

Error sum for iteration 4800 = 55.77497502884988

Error sum for iteration 4900 = 55.29280950169319

Error sum for iteration 5000 = 54.7952573176672

Error sum for iteration 5100 = 54.29187414825843

Error sum for iteration 5200 = 53.78456316757629

Error sum for iteration 5300 = 53.27030911155492

Error sum for iteration 5400 = 52.754948505341446

Error sum for iteration 5500 = 52.235802667132255

Error sum for iteration 5600 = 51.718678427512714

Error sum for iteration 5700 = 51.20098519762755

Error sum for iteration 5800 = 50.68749052806114

Error sum for iteration 5900 = 50.182622220273245

Error sum for iteration 6000 = 49.682173864868496

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 15
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	15
	-M	0.01
Input Weights:
	0.9846147521377846	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	age
	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	workclass=Private
	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	workclass=Self-emp-not-inc
	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	workclass=Federal-gov
	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	workclass=Local-gov
	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	workclass=State-gov
	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=Without-pay
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=Never-worked
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	fnlwgt
	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	education=Bachelors
	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	education=Some-college
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	0.3538267409035236	0.32696260721469717	0.45684803758974946	-0.02157667834880428	0.9337836433070652	0.19295595583383185	-0.8760674231356413	0.18800024421126738	0.7506933540238709	0.9209697496628726	-0.9833469264698667	-0.09578835981326694	0.7177165440912938	-0.8008845569447951	-0.27365108569101904	native-country=United-States
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	-0.0898301978755951	-0.570324724191396	-0.6410699494214505	0.6940958019771655	0.30190053658701266	-0.7608546071234856	-0.8676623851790093	0.19914575408955826	-0.22105874315352425	-0.2811528480408272	-0.1508733741128867	0.17344672120306748	-0.776253702150439	-0.056412810948468284	0.612150622210965	native-country=England
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	-0.566398924734512	0.49095085573753616	-0.7142221163996083	-0.32455679365790435	0.9373321468918665	0.8967453343441192	-0.8642005395225554	-0.12854564828939719	-0.5140525559023585	-0.7640832724331874	0.7050640087216418	-0.2086713488272407	-0.43912908627053326	0.38377623008795414	0.8628275686550184	native-country=India
	-0.3284886343949929	-0.4894141683374935	0.5808019205705222	0.2836501669285325	-0.5546042521632384	-0.8389664827300742	0.6096269955400437	0.2630387987645799	0.7868083145316114	0.9028404081489878	-0.10827405019035607	0.587839865076426	-0.10083691096256708	0.8245899857360901	0.1512791892559917	native-country=Japan
	-0.6645224796807754	-0.07736464352220218	-0.12255824030452667	-0.20109995817886728	0.9229550846397074	-0.010793317452776341	-0.9951791785886839	-0.43020075509794364	-0.5981735182977417	0.9986048884639014	-0.0043803034281142406	0.5917470336762745	0.9252381262064919	-0.8143643042235351	-0.2592539094430446	native-country=Greece
	0.18611898164719043	0.020201652271122805	-0.27742799060918677	-0.24064806964508945	0.8685957772377262	-0.8957637686283764	-0.7800754836731578	0.27765696226336045	0.3656685495473251	0.6519305098821824	-0.01372378514101702	-0.7797574205472853	-0.7385015999710749	-0.338533443226942	0.7949956105160381	native-country=South
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	-0.6834868799305258	0.35255371270807	-0.2391061070711047	0.8871300207703594	-0.6866665853629104	-0.18588187250933808	0.13943079695890725	0.16739468753926956	0.05586102736488607	0.837641243939768	0.3387503252828572	0.2955599743147568	0.33891828748910857	0.051961721925234405	-0.19930922542284701	native-country=Cuba
	-0.15067567850942032	0.472856834253389	0.7171620819508768	0.887919775850555	0.6021055133058717	0.8776303720159933	0.18172310395267188	-0.4402768958758647	0.7364710432165447	-0.043892342546839824	-0.533541683626388	0.07466520102380336	0.22459472885395604	0.088440740929151	0.7477013537892918	native-country=Iran
	0.6653821927833667	-0.390107962454427	-0.3704563918650534	-0.8823401617282471	-0.7329553912664939	0.24503060618320083	0.15195568499410173	-0.2771020325280851	0.36644064442634017	0.02854082708091643	-0.37925792316850715	0.5488093146307484	0.3897880046364339	-0.522891338351019	-0.44056198982631245	native-country=Honduras
	0.028488074395232044	0.0366164569111771	0.35864956892121413	-0.7778814185663405	0.5854463239440928	0.901143029148431	0.7862275704717254	-0.7719958854429947	-0.05858739066027274	-0.8149688008502043	-0.5779422710302287	-0.14926537689115693	-0.6024938735193561	-0.873449617209322	-0.705861251863779	native-country=Philippines
	-0.23077029923509929	0.5114481297202944	-0.4819883418011166	0.38053684053393066	-0.4610801173923722	0.8269490271461626	0.5794940731435148	0.9981565521540972	-0.38228144010228093	-0.20847344420331182	-0.9489364140526875	-0.9481620957098928	0.3247937671678356	0.8530374300660888	0.9951247340056681	native-country=Italy
	0.5606768523840133	0.007574783575085231	-0.91721414862699	-0.4992425962240208	0.8332247751906989	-0.13633825503700114	0.5446610593500281	-0.705354289554833	0.7888560318604056	0.26117251322002644	-0.5293951985568284	0.7518309832185717	0.20834995936148726	-0.04836604252978671	-0.31182428746874025	native-country=Poland
	0.04563972869857569	0.856325632116848	-0.5249814997906164	-0.5465830521861559	-0.9803303271648214	-0.7591364792563191	0.6982416635332924	-0.007855242841370957	-0.4864719650976619	0.7797154697561928	0.624260943199376	0.20746385059813033	0.09170819854257917	0.9313652617133918	0.6054679933458531	native-country=Jamaica
	0.81548969912357	0.3046054492947312	0.12547488216102054	0.3452002833236707	-0.28192639613392423	0.7687054539724203	-0.7274244794327702	-0.8570203572070982	0.29524514728326556	-0.05503239855042974	-0.3885441503180367	3.104564454503578E-4	0.6739792034547945	-0.5855511454880893	0.6360749626912263	native-country=Vietnam
	-0.7594573741141835	-0.5136090033981047	0.5120303382867155	0.8311574322424404	0.9412901528877664	0.6941695685655518	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	native-country=Mexico
	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	-0.6887170968883909	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	native-country=Portugal
	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	0.5026139396180394	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	native-country=Ireland
	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	-0.7786069817999677	0.7804463647275028	-0.07544005589387948	-0.076207487301446	native-country=France
	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	0.8374305668246786	0.9303804562495819	native-country=Dominican-Republic
	-0.86255754171298	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Laos
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	native-country=Ecuador
	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	native-country=Taiwan
	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	native-country=Haiti
	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	native-country=Columbia
	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	native-country=Hungary
	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	0.06712110825781559	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	native-country=Guatemala
	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	native-country=Nicaragua
	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	native-country=Scotland
	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	native-country=Thailand
	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	native-country=Yugoslavia
	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	native-country=El-Salvador
	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Trinadad&Tobago
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	native-country=Peru
	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	native-country=Hong
	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	native-country=Holand-Netherlands
Hidden Weights:
	-0.932400957909391	-0.3010428000629959
	0.3664092070317644	-0.5559432284989232
	-0.5251401522484951	0.8704923337358601
	-0.8308596237320496	-0.8087611689733551
	-0.7375807321624765	0.1543523233413442
	0.04465036157278868	0.5839821344169129
	-0.4747318094776156	-0.7869783822473202
	0.8958335839615781	0.534713852733242
	0.7847068021936716	-0.5478918671323567
	0.1555278851398203	-0.6457946590886625
	-0.18529502505441298	-0.553958408119543
	0.8247277848514643	0.36001365068058555
	-0.4550486344536466	0.17786686123242723
	-0.5503788631461393	0.385438417684838
	-0.31238608286662717	0.40615106995825156
		>50K		<=50K

Error sum for iteration 100 = 69.32173204404307

Error sum for iteration 200 = 69.74526521186029

Error sum for iteration 300 = 71.5987113339563

Error sum for iteration 400 = 73.74881085505632

Error sum for iteration 500 = 75.77598162645133

Error sum for iteration 600 = 77.49136213545808

Error sum for iteration 700 = 78.92158871549394

Error sum for iteration 800 = 80.00120712906296

Error sum for iteration 900 = 80.60378088943634

Error sum for iteration 1000 = 80.72388296060032

Error sum for iteration 1100 = 80.37866267050069

Error sum for iteration 1200 = 79.69704902144345

Error sum for iteration 1300 = 78.57387463417291

Error sum for iteration 1400 = 76.96824894017232

Error sum for iteration 1500 = 74.99413024484244

Error sum for iteration 1600 = 72.79179118259454

Error sum for iteration 1700 = 70.4635200107682

Error sum for iteration 1800 = 68.18741605052087

Error sum for iteration 1900 = 66.02533493659595

Error sum for iteration 2000 = 63.985646848205064

Error sum for iteration 2100 = 62.070388569358855

Error sum for iteration 2200 = 60.30675232158309

Error sum for iteration 2300 = 58.71249304402383

Error sum for iteration 2400 = 57.28394561626059

Error sum for iteration 2500 = 55.968553637737415

Error sum for iteration 2600 = 54.746385082697145

Error sum for iteration 2700 = 53.64200664845884

Error sum for iteration 2800 = 52.606632704977564

Error sum for iteration 2900 = 51.628308945615416

Error sum for iteration 3000 = 50.711204394609005

Error sum for iteration 3100 = 49.85251165225343

Error sum for iteration 3200 = 49.03536228606237

Error sum for iteration 3300 = 48.26719495090675

Error sum for iteration 3400 = 47.55027537086239

Error sum for iteration 3500 = 46.89676061743876

Error sum for iteration 3600 = 46.290017782205425

Error sum for iteration 3700 = 45.739803251793795

Error sum for iteration 3800 = 45.24859502253464

Error sum for iteration 3900 = 44.788270052579875

Error sum for iteration 4000 = 44.35417278119518

Error sum for iteration 4100 = 43.94999270900581

Error sum for iteration 4200 = 43.57840489440656

Error sum for iteration 4300 = 43.230610776635956

Error sum for iteration 4400 = 42.90064619796663

Error sum for iteration 4500 = 42.582323322464006

Error sum for iteration 4600 = 42.27734755491713

Error sum for iteration 4700 = 41.98783665423684

Error sum for iteration 4800 = 41.71199175446217

Error sum for iteration 4900 = 41.45200104164471

Error sum for iteration 5000 = 41.20410766098597

Error sum for iteration 5100 = 40.96876535052242

Error sum for iteration 5200 = 40.74049700084422

Error sum for iteration 5300 = 40.517735106915175

Error sum for iteration 5400 = 40.30368123320085

Error sum for iteration 5500 = 40.09843299052828

Error sum for iteration 5600 = 39.902277063049155

Error sum for iteration 5700 = 39.717437542256306

Error sum for iteration 5800 = 39.53411478561225

Error sum for iteration 5900 = 39.351166387447336

Error sum for iteration 6000 = 39.1691624304836

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 16
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	16
	-M	0.01
Input Weights:
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	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	native-country=Ireland
	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	native-country=France
	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	native-country=Dominican-Republic
	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Laos
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	native-country=Ecuador
	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	native-country=Taiwan
	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	native-country=Haiti
	-0.1413568793590112	-0.649944340042907	0.9259771290475656	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	native-country=Columbia
	0.9005790704979058	0.667698146056507	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	native-country=Hungary
	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Guatemala
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	native-country=Nicaragua
	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	native-country=Scotland
	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	native-country=Thailand
	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	native-country=Yugoslavia
	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	0.5936475349415067	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	native-country=El-Salvador
	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	0.5893503867558587	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	native-country=Trinadad&Tobago
	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	native-country=Peru
	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	native-country=Hong
	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	native-country=Holand-Netherlands
Hidden Weights:
	0.441750719852013	0.0015060455248581128
	-0.2844544138139755	-0.23211791639919865
	-0.8916600822683374	0.9857142964020311
	0.7095984570068707	0.5215832992225964
	-0.2168199631584511	0.5712935046516945
	0.4075809708858247	0.4492065740670028
	-0.9845832678530919	0.7754869071810953
	-0.40357034446035556	0.4593018414367709
	-0.9730133551424232	0.2851132395369551
	-0.23367125208920903	0.34492147129741
	0.6675425165459654	-0.9613992109240925
	-0.9192736616172565	0.9290292419084367
	0.16008335972012255	0.9752871570227852
	-0.41362249497159764	-0.6835464641707376
	0.36665982306067435	-0.2779238776715829
	-0.9939327125027932	0.4271733880804245
		>50K		<=50K

Error sum for iteration 100 = 83.75758304729095

Error sum for iteration 200 = 83.48705558150282

Error sum for iteration 300 = 84.29359221618016

Error sum for iteration 400 = 85.05388341192666

Error sum for iteration 500 = 85.59091252455048

Error sum for iteration 600 = 85.8206177752026

Error sum for iteration 700 = 85.62800282934609

Error sum for iteration 800 = 84.81342641543051

Error sum for iteration 900 = 83.37939536777155

Error sum for iteration 1000 = 81.41497571820153

Error sum for iteration 1100 = 79.02065992596278

Error sum for iteration 1200 = 76.37959605589666

Error sum for iteration 1300 = 73.74361331022895

Error sum for iteration 1400 = 71.22681873691027

Error sum for iteration 1500 = 68.87188813720279

Error sum for iteration 1600 = 66.67644085020042

Error sum for iteration 1700 = 64.6522901154026

Error sum for iteration 1800 = 62.75899093076539

Error sum for iteration 1900 = 60.98852312306238

Error sum for iteration 2000 = 59.36538824051089

Error sum for iteration 2100 = 57.868869226053036

Error sum for iteration 2200 = 56.48999721254051

Error sum for iteration 2300 = 55.18598957566331

Error sum for iteration 2400 = 53.96399535546768

Error sum for iteration 2500 = 52.834059853375074

Error sum for iteration 2600 = 51.79955201665526

Error sum for iteration 2700 = 50.85152131337671

Error sum for iteration 2800 = 49.970511469626025

Error sum for iteration 2900 = 49.142334957890114

Error sum for iteration 3000 = 48.36679316174652

Error sum for iteration 3100 = 47.67036481635178

Error sum for iteration 3200 = 47.02856201746709

Error sum for iteration 3300 = 46.44174875319106

Error sum for iteration 3400 = 45.89928809405702

Error sum for iteration 3500 = 45.39012476285055

Error sum for iteration 3600 = 44.909836556555135

Error sum for iteration 3700 = 44.45975266999535

Error sum for iteration 3800 = 44.03775441796091

Error sum for iteration 3900 = 43.63008683972339

Error sum for iteration 4000 = 43.2419661142939

Error sum for iteration 4100 = 42.8665693522441

Error sum for iteration 4200 = 42.50257212545298

Error sum for iteration 4300 = 42.15107849325991

Error sum for iteration 4400 = 41.81320503506101

Error sum for iteration 4500 = 41.47437856702082

Error sum for iteration 4600 = 41.14650905122442

Error sum for iteration 4700 = 40.827582551896946

Error sum for iteration 4800 = 40.51028483972965

Error sum for iteration 4900 = 40.19293175317148

Error sum for iteration 5000 = 39.876603110826764

Error sum for iteration 5100 = 39.56155597152808

Error sum for iteration 5200 = 39.2395972581071

Error sum for iteration 5300 = 38.9070874512632

Error sum for iteration 5400 = 38.57000518664411

Error sum for iteration 5500 = 38.24515843469496

Error sum for iteration 5600 = 37.91709158114132

Error sum for iteration 5700 = 37.59062763942756

Error sum for iteration 5800 = 37.25406010133122

Error sum for iteration 5900 = 36.90878488777299

Error sum for iteration 6000 = 36.55929860925516

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 16
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	16
	-M	0.01
Input Weights:
	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	age
	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	workclass=Private
	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	workclass=Self-emp-not-inc
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	workclass=Self-emp-inc
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	workclass=Federal-gov
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	workclass=Local-gov
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	workclass=State-gov
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	workclass=Without-pay
	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	workclass=Never-worked
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	fnlwgt
	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	education=Bachelors
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	education=Some-college
	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	education=11th
	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	education=HS-grad
	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	-0.8803499526811582	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	education=Prof-school
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Hidden Weights:
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	-0.9730133551424232	0.2851132395369551
	-0.23367125208920903	0.34492147129741
	0.6675425165459654	-0.9613992109240925
	-0.9192736616172565	0.9290292419084367
	0.16008335972012255	0.9752871570227852
	-0.41362249497159764	-0.6835464641707376
	0.36665982306067435	-0.2779238776715829
	-0.9939327125027932	0.4271733880804245
		>50K		<=50K

Error sum for iteration 100 = 84.3315152093368

Error sum for iteration 200 = 85.2557466629035

Error sum for iteration 300 = 86.33051790582276

Error sum for iteration 400 = 87.5981278431968

Error sum for iteration 500 = 88.99753997728578

Error sum for iteration 600 = 90.3718504823292

Error sum for iteration 700 = 91.59773357981048

Error sum for iteration 800 = 92.56031409039058

Error sum for iteration 900 = 93.05865475077358

Error sum for iteration 1000 = 93.11815091057117

Error sum for iteration 1100 = 92.84306748345705

Error sum for iteration 1200 = 92.33455383050035

Error sum for iteration 1300 = 91.64595655303256

Error sum for iteration 1400 = 90.81193001307697

Error sum for iteration 1500 = 89.79769719412417

Error sum for iteration 1600 = 88.56098050246554

Error sum for iteration 1700 = 87.11875966951935

Error sum for iteration 1800 = 85.48528965491322

Error sum for iteration 1900 = 83.69605499960257

Error sum for iteration 2000 = 81.85787681843858

Error sum for iteration 2100 = 79.99278195090797

Error sum for iteration 2200 = 78.15796887074954

Error sum for iteration 2300 = 76.35327384841567

Error sum for iteration 2400 = 74.61297910130796

Error sum for iteration 2500 = 72.97877080988364

Error sum for iteration 2600 = 71.42981725626271

Error sum for iteration 2700 = 69.98772111318233

Error sum for iteration 2800 = 68.65012055590613

Error sum for iteration 2900 = 67.41640159806825

Error sum for iteration 3000 = 66.25989747117977

Error sum for iteration 3100 = 65.17920090987236

Error sum for iteration 3200 = 64.15891755690791

Error sum for iteration 3300 = 63.173021886596864

Error sum for iteration 3400 = 62.19590504257035

Error sum for iteration 3500 = 61.216673873408965

Error sum for iteration 3600 = 60.25785852525174

Error sum for iteration 3700 = 59.35372885660478

Error sum for iteration 3800 = 58.51015540695656

Error sum for iteration 3900 = 57.700732166318794

Error sum for iteration 4000 = 56.906617631524654

Error sum for iteration 4100 = 56.111311104139844

Error sum for iteration 4200 = 55.324091810714116

Error sum for iteration 4300 = 54.53248614825935

Error sum for iteration 4400 = 53.75012563000966

Error sum for iteration 4500 = 52.972950691079404

Error sum for iteration 4600 = 52.226597572744566

Error sum for iteration 4700 = 51.52404063833889

Error sum for iteration 4800 = 50.841967499287556

Error sum for iteration 4900 = 50.18004478154242

Error sum for iteration 5000 = 49.5350866513694

Error sum for iteration 5100 = 48.91373973167541

Error sum for iteration 5200 = 48.308752019013795

Error sum for iteration 5300 = 47.71929737516993

Error sum for iteration 5400 = 47.14291441105715

Error sum for iteration 5500 = 46.57473410340576

Error sum for iteration 5600 = 46.02013080437641

Error sum for iteration 5700 = 45.48592947160064

Error sum for iteration 5800 = 44.9708908242177

Error sum for iteration 5900 = 44.46423136800213

Error sum for iteration 6000 = 43.96551602860618

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 16
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	16
	-M	0.01
Input Weights:
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	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	0.8201028391878706	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	native-country=Mexico
	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	-0.8475333355179717	-0.27269266500948564	-0.7385886640375292	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	native-country=Portugal
	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	native-country=Ireland
	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	native-country=France
	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	native-country=Dominican-Republic
	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Laos
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	native-country=Ecuador
	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	native-country=Taiwan
	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	native-country=Haiti
	-0.1413568793590112	-0.649944340042907	0.9259771290475656	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	native-country=Columbia
	0.9005790704979058	0.667698146056507	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	native-country=Hungary
	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	native-country=Guatemala
	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	native-country=Nicaragua
	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	native-country=Scotland
	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	native-country=Thailand
	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	native-country=Yugoslavia
	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	0.5936475349415067	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	native-country=El-Salvador
	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	0.5893503867558587	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	native-country=Trinadad&Tobago
	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	native-country=Peru
	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	native-country=Hong
	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	native-country=Holand-Netherlands
Hidden Weights:
	0.441750719852013	0.0015060455248581128
	-0.2844544138139755	-0.23211791639919865
	-0.8916600822683374	0.9857142964020311
	0.7095984570068707	0.5215832992225964
	-0.2168199631584511	0.5712935046516945
	0.4075809708858247	0.4492065740670028
	-0.9845832678530919	0.7754869071810953
	-0.40357034446035556	0.4593018414367709
	-0.9730133551424232	0.2851132395369551
	-0.23367125208920903	0.34492147129741
	0.6675425165459654	-0.9613992109240925
	-0.9192736616172565	0.9290292419084367
	0.16008335972012255	0.9752871570227852
	-0.41362249497159764	-0.6835464641707376
	0.36665982306067435	-0.2779238776715829
	-0.9939327125027932	0.4271733880804245
		>50K		<=50K

Error sum for iteration 100 = 83.71289436501871

Error sum for iteration 200 = 82.69643612569408

Error sum for iteration 300 = 82.57789833739382

Error sum for iteration 400 = 82.73300119229454

Error sum for iteration 500 = 83.01216343364423

Error sum for iteration 600 = 83.34518867406942

Error sum for iteration 700 = 83.62096738166274

Error sum for iteration 800 = 83.82769195712625

Error sum for iteration 900 = 83.92761245637016

Error sum for iteration 1000 = 83.88277347834696

Error sum for iteration 1100 = 83.63935549091377

Error sum for iteration 1200 = 83.1820704695706

Error sum for iteration 1300 = 82.54416721555856

Error sum for iteration 1400 = 81.75661787151147

Error sum for iteration 1500 = 80.86119534709135

Error sum for iteration 1600 = 79.9043862460013

Error sum for iteration 1700 = 78.86489314133162

Error sum for iteration 1800 = 77.77510795001308

Error sum for iteration 1900 = 76.67259396118821

Error sum for iteration 2000 = 75.55732899852745

Error sum for iteration 2100 = 74.42714835921382

Error sum for iteration 2200 = 73.30795699464765

Error sum for iteration 2300 = 72.21097081987111

Error sum for iteration 2400 = 71.13777753617482

Error sum for iteration 2500 = 70.10095635433032

Error sum for iteration 2600 = 69.1052767805255

Error sum for iteration 2700 = 68.16968485682608

Error sum for iteration 2800 = 67.28940933962238

Error sum for iteration 2900 = 66.49390918921516

Error sum for iteration 3000 = 65.75072917964513

Error sum for iteration 3100 = 65.0473141600523

Error sum for iteration 3200 = 64.39020323769473

Error sum for iteration 3300 = 63.77392594157874

Error sum for iteration 3400 = 63.188049790898646

Error sum for iteration 3500 = 62.637840514449806

Error sum for iteration 3600 = 62.111895730577025

Error sum for iteration 3700 = 61.618256692995

Error sum for iteration 3800 = 61.15495611349152

Error sum for iteration 3900 = 60.71558490290892

Error sum for iteration 4000 = 60.28747217368236

Error sum for iteration 4100 = 59.864169074067725

Error sum for iteration 4200 = 59.4506724848129

Error sum for iteration 4300 = 59.05004737940372

Error sum for iteration 4400 = 58.66804912703747

Error sum for iteration 4500 = 58.29877628760271

Error sum for iteration 4600 = 57.93793438753871

Error sum for iteration 4700 = 57.58461933288976

Error sum for iteration 4800 = 57.23242607022705

Error sum for iteration 4900 = 56.90370482698716

Error sum for iteration 5000 = 56.577612819191245

Error sum for iteration 5100 = 56.25891685193379

Error sum for iteration 5200 = 55.94743148785421

Error sum for iteration 5300 = 55.649117890741614

Error sum for iteration 5400 = 55.35724277705173

Error sum for iteration 5500 = 55.07133019298987

Error sum for iteration 5600 = 54.78253841746338

Error sum for iteration 5700 = 54.48848659871287

Error sum for iteration 5800 = 54.203695929452

Error sum for iteration 5900 = 53.91622284838555

Error sum for iteration 6000 = 53.624454085988006

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 16
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	16
	-M	0.01
Input Weights:
	0.2460182606200394	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	age
	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	workclass=Private
	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	workclass=Self-emp-not-inc
	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	workclass=Self-emp-inc
	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	workclass=Federal-gov
	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	workclass=Local-gov
	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	workclass=State-gov
	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	workclass=Without-pay
	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	workclass=Never-worked
	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	fnlwgt
	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	education=Bachelors
	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	education=Some-college
	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	education=11th
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	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	native-country=Holand-Netherlands
Hidden Weights:
	0.441750719852013	0.0015060455248581128
	-0.2844544138139755	-0.23211791639919865
	-0.8916600822683374	0.9857142964020311
	0.7095984570068707	0.5215832992225964
	-0.2168199631584511	0.5712935046516945
	0.4075809708858247	0.4492065740670028
	-0.9845832678530919	0.7754869071810953
	-0.40357034446035556	0.4593018414367709
	-0.9730133551424232	0.2851132395369551
	-0.23367125208920903	0.34492147129741
	0.6675425165459654	-0.9613992109240925
	-0.9192736616172565	0.9290292419084367
	0.16008335972012255	0.9752871570227852
	-0.41362249497159764	-0.6835464641707376
	0.36665982306067435	-0.2779238776715829
	-0.9939327125027932	0.4271733880804245
		>50K		<=50K

Error sum for iteration 100 = 85.85896310534771

Error sum for iteration 200 = 85.909642811282

Error sum for iteration 300 = 87.02382777873834

Error sum for iteration 400 = 88.92546828323579

Error sum for iteration 500 = 91.27386806466379

Error sum for iteration 600 = 93.22671570913391

Error sum for iteration 700 = 94.570487067175

Error sum for iteration 800 = 95.29312973151984

Error sum for iteration 900 = 95.44071013964044

Error sum for iteration 1000 = 95.07603614025771

Error sum for iteration 1100 = 94.23080329614086

Error sum for iteration 1200 = 93.00217436570428

Error sum for iteration 1300 = 91.44565764300766

Error sum for iteration 1400 = 89.63893555909208

Error sum for iteration 1500 = 87.63876195998117

Error sum for iteration 1600 = 85.46228511157267

Error sum for iteration 1700 = 83.21706716355409

Error sum for iteration 1800 = 80.97925954486966

Error sum for iteration 1900 = 78.83418934745184

Error sum for iteration 2000 = 76.83194808369399

Error sum for iteration 2100 = 75.01962437279028

Error sum for iteration 2200 = 73.38474850328436

Error sum for iteration 2300 = 71.89866843292155

Error sum for iteration 2400 = 70.55907624303649

Error sum for iteration 2500 = 69.33208982158415

Error sum for iteration 2600 = 68.20582110308327

Error sum for iteration 2700 = 67.17649542606033

Error sum for iteration 2800 = 66.23321588742643

Error sum for iteration 2900 = 65.35277176986135

Error sum for iteration 3000 = 64.51435684361302

Error sum for iteration 3100 = 63.72275964154284

Error sum for iteration 3200 = 62.97762321132534

Error sum for iteration 3300 = 62.26828078598762

Error sum for iteration 3400 = 61.59486262652988

Error sum for iteration 3500 = 60.952204076740585

Error sum for iteration 3600 = 60.33338295056912

Error sum for iteration 3700 = 59.748156988119355

Error sum for iteration 3800 = 59.18277215498185

Error sum for iteration 3900 = 58.63530214902268

Error sum for iteration 4000 = 58.105750558284875

Error sum for iteration 4100 = 57.58682471714536

Error sum for iteration 4200 = 57.07549437797022

Error sum for iteration 4300 = 56.576360671573156

Error sum for iteration 4400 = 56.09317868765751

Error sum for iteration 4500 = 55.626665835722505

Error sum for iteration 4600 = 55.17242461079171

Error sum for iteration 4700 = 54.73047717338651

Error sum for iteration 4800 = 54.289365909491046

Error sum for iteration 4900 = 53.85270636912215

Error sum for iteration 5000 = 53.4270372557561

Error sum for iteration 5100 = 53.01775953396768

Error sum for iteration 5200 = 52.612921836550484

Error sum for iteration 5300 = 52.21658686458348

Error sum for iteration 5400 = 51.83130572676259

Error sum for iteration 5500 = 51.44965815436039

Error sum for iteration 5600 = 51.07348505533858

Error sum for iteration 5700 = 50.72128494803712

Error sum for iteration 5800 = 50.371966701989905

Error sum for iteration 5900 = 50.02137705506565

Error sum for iteration 6000 = 49.67360257106757

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 17
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	17
	-M	0.01
Input Weights:
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	age
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Private
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Self-emp-not-inc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Self-emp-inc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Federal-gov
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Local-gov
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=State-gov
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	workclass=Without-pay
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Never-worked
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	fnlwgt
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	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	education=Prof-school
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	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	education=Assoc-voc
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	-0.3453894990015338	0.8304617726162575	-0.7865100188185525	-0.6796649176920266	-0.1608701556339185	-0.7563833127903765	0.5601560509375902	-0.8004124288036223	0.0030301353066588543	0.028422871480702216	0.1520046841892848	0.8082902652151189	0.674623984860492	0.4660828065170566	-0.4787061668975825	-0.778606294814048	0.05124699390100784	native-country=China
	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	native-country=Cuba
	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	native-country=Iran
	0.7804463647275028	-0.07544005589387948	-0.076207487301446	-0.16207026912381384	-0.8051265909210199	-0.5392916634966809	0.8067557857088472	-0.21850179465490482	-0.19984951949076502	0.33290860447926174	-0.9869644016015899	-0.23455129790788276	-0.12311299142704546	-0.2343276935322327	0.581406419614491	0.4596216702331035	0.4980055125286529	native-country=Honduras
	0.9303804562495819	-0.687988558356337	-0.86255754171298	0.5438334587395086	0.4250430593744843	0.040910422086153364	-0.8900101630807997	0.8505295844735425	0.9106800215785009	0.6254763960417289	-0.6925736144113819	-0.6426853828066135	0.5426018702445585	0.6636795250387506	0.002727377236722006	-0.6071998237870875	0.954464175249025	native-country=Philippines
	0.11328383400089614	0.3685225517132158	-0.16722927540452415	-0.24791525346005772	0.24570184785826732	0.04367484982944769	-0.6968615404300524	-0.6187919003294924	0.08889283436030326	0.9864125912814825	0.1842939377242485	-0.33184457161019987	0.27880778968933884	-0.035052505842801285	0.12866027091186938	-0.8475333355179717	-0.27269266500948564	native-country=Italy
	-0.056214205305814335	-0.5652499744213659	-0.4106988688733568	0.9737352525500595	0.9767552638431383	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	native-country=Poland
	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	native-country=Jamaica
	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	native-country=Vietnam
	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Mexico
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	native-country=Portugal
	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	native-country=Ireland
	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	native-country=France
	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	0.667698146056507	-0.03421158786673284	native-country=Dominican-Republic
	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	native-country=Laos
	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	-0.06766318528405124	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	native-country=Ecuador
	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	native-country=Taiwan
	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	native-country=Haiti
	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	native-country=Columbia
	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Hungary
	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	native-country=Guatemala
	0.5893503867558587	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	native-country=Nicaragua
	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	native-country=Scotland
	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	native-country=Thailand
	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	native-country=Yugoslavia
	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	native-country=El-Salvador
	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	native-country=Trinadad&Tobago
	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	native-country=Peru
	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	native-country=Hong
	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Holand-Netherlands
Hidden Weights:
	0.25115867951436077	-0.35753542345823663
	0.14524408426168445	-0.33250439608730176
	0.8747734558691722	0.49396753791436887
	-0.16871565522917198	-0.19425152640542231
	-0.6403322153955309	-0.7728991943769088
	-0.5126175118010394	0.4965900167176467
	-0.6163659737914318	-0.2992894887101174
	-0.03426674926600959	-0.1758731975058816
	0.04579044306017788	0.7009261943862781
	-0.8830441327522516	0.5192017807828053
	0.7974363544701568	0.1579481594692207
	0.11265223269788005	-0.8411901371146984
	0.11903207402609706	0.22381192713837228
	0.5295250729369649	0.8607130398835598
	0.6002061750409429	0.8545227110297191
	0.09967310767716397	0.27711350462768713
	-0.4300363280174142	0.11622527603109911
		>50K		<=50K

Error sum for iteration 100 = 78.80770177282862

Error sum for iteration 200 = 81.2640529863342

Error sum for iteration 300 = 85.45317593158347

Error sum for iteration 400 = 88.83785350654604

Error sum for iteration 500 = 91.14141179500427

Error sum for iteration 600 = 92.53951878320834

Error sum for iteration 700 = 93.28437786283563

Error sum for iteration 800 = 93.4977216344364

Error sum for iteration 900 = 93.30675642690564

Error sum for iteration 1000 = 92.75964770622804

Error sum for iteration 1100 = 91.91883221240025

Error sum for iteration 1200 = 90.82280706686137

Error sum for iteration 1300 = 89.56990979778908

Error sum for iteration 1400 = 88.13794391159634

Error sum for iteration 1500 = 86.56539057221941

Error sum for iteration 1600 = 84.860505719104

Error sum for iteration 1700 = 83.01920825283523

Error sum for iteration 1800 = 81.04020030166065

Error sum for iteration 1900 = 78.96937128853278

Error sum for iteration 2000 = 76.86746321508805

Error sum for iteration 2100 = 74.78810620670271

Error sum for iteration 2200 = 72.75531429428487

Error sum for iteration 2300 = 70.76626216568586

Error sum for iteration 2400 = 68.84749655769498

Error sum for iteration 2500 = 67.00934717549204

Error sum for iteration 2600 = 65.28545921598936

Error sum for iteration 2700 = 63.63978673927628

Error sum for iteration 2800 = 62.090525571936595

Error sum for iteration 2900 = 60.620537281419566

Error sum for iteration 3000 = 59.22630223958458

Error sum for iteration 3100 = 57.91086179558747

Error sum for iteration 3200 = 56.692033691333464

Error sum for iteration 3300 = 55.55519358919859

Error sum for iteration 3400 = 54.49103581487024

Error sum for iteration 3500 = 53.50574732841738

Error sum for iteration 3600 = 52.60156882706383

Error sum for iteration 3700 = 51.78238403952378

Error sum for iteration 3800 = 51.02870263457549

Error sum for iteration 3900 = 50.32801297591722

Error sum for iteration 4000 = 49.687310971743294

Error sum for iteration 4100 = 49.08672305809842

Error sum for iteration 4200 = 48.52316800347663

Error sum for iteration 4300 = 47.99513167950695

Error sum for iteration 4400 = 47.49832746627041

Error sum for iteration 4500 = 47.0336301946858

Error sum for iteration 4600 = 46.58830977913742

Error sum for iteration 4700 = 46.17362787969853

Error sum for iteration 4800 = 45.785983297618934

Error sum for iteration 4900 = 45.421831831737144

Error sum for iteration 5000 = 45.0854851410993

Error sum for iteration 5100 = 44.76154820849156

Error sum for iteration 5200 = 44.44715133627727

Error sum for iteration 5300 = 44.1461548657427

Error sum for iteration 5400 = 43.86290769891591

Error sum for iteration 5500 = 43.618212347295035

Error sum for iteration 5600 = 43.37983072585363

Error sum for iteration 5700 = 43.14991698214143

Error sum for iteration 5800 = 42.93941458300603

Error sum for iteration 5900 = 42.734965650343476

Error sum for iteration 6000 = 42.527823917108584

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 17
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	17
	-M	0.01
Input Weights:
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	age
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	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	native-country=Ireland
	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	0.1397765721630242	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	native-country=France
	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	0.667698146056507	-0.03421158786673284	native-country=Dominican-Republic
	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	native-country=Laos
	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	-0.06766318528405124	-0.9323914259405999	0.8061868166999673	-0.3790051493727644	0.6995736451801942	0.10921554606058992	native-country=Ecuador
	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	native-country=Taiwan
	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	native-country=Haiti
	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	native-country=Columbia
	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Hungary
	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	native-country=Guatemala
	0.5893503867558587	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	native-country=Nicaragua
	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	native-country=Scotland
	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	native-country=Thailand
	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	native-country=Yugoslavia
	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	native-country=El-Salvador
	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	native-country=Trinadad&Tobago
	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	native-country=Peru
	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	native-country=Hong
	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Holand-Netherlands
Hidden Weights:
	0.25115867951436077	-0.35753542345823663
	0.14524408426168445	-0.33250439608730176
	0.8747734558691722	0.49396753791436887
	-0.16871565522917198	-0.19425152640542231
	-0.6403322153955309	-0.7728991943769088
	-0.5126175118010394	0.4965900167176467
	-0.6163659737914318	-0.2992894887101174
	-0.03426674926600959	-0.1758731975058816
	0.04579044306017788	0.7009261943862781
	-0.8830441327522516	0.5192017807828053
	0.7974363544701568	0.1579481594692207
	0.11265223269788005	-0.8411901371146984
	0.11903207402609706	0.22381192713837228
	0.5295250729369649	0.8607130398835598
	0.6002061750409429	0.8545227110297191
	0.09967310767716397	0.27711350462768713
	-0.4300363280174142	0.11622527603109911
		>50K		<=50K

Error sum for iteration 100 = 77.09704239875612

Error sum for iteration 200 = 80.15420026599004

Error sum for iteration 300 = 83.5838513665484

Error sum for iteration 400 = 86.2828765034523

Error sum for iteration 500 = 88.90323389825616

Error sum for iteration 600 = 90.98389707635644

Error sum for iteration 700 = 92.33477023395501

Error sum for iteration 800 = 93.00944886786303

Error sum for iteration 900 = 93.132666981369

Error sum for iteration 1000 = 92.6989003544312

Error sum for iteration 1100 = 91.752520984429

Error sum for iteration 1200 = 90.38676959703783

Error sum for iteration 1300 = 88.68997764897324

Error sum for iteration 1400 = 86.93102644194057

Error sum for iteration 1500 = 85.19664958961866

Error sum for iteration 1600 = 83.43886712040349

Error sum for iteration 1700 = 81.77288829213185

Error sum for iteration 1800 = 80.21764198490133

Error sum for iteration 1900 = 78.74831858508497

Error sum for iteration 2000 = 77.33172606084852

Error sum for iteration 2100 = 75.91640362080267

Error sum for iteration 2200 = 74.52386581252857

Error sum for iteration 2300 = 73.1393325102285

Error sum for iteration 2400 = 71.75492158261693

Error sum for iteration 2500 = 70.36140188409153

Error sum for iteration 2600 = 68.9850739690308

Error sum for iteration 2700 = 67.63213206970042

Error sum for iteration 2800 = 66.3120538674155

Error sum for iteration 2900 = 65.05066060143903

Error sum for iteration 3000 = 63.862395245187614

Error sum for iteration 3100 = 62.7389140320993

Error sum for iteration 3200 = 61.683138539451356

Error sum for iteration 3300 = 60.70195259974565

Error sum for iteration 3400 = 59.78187013113246

Error sum for iteration 3500 = 58.90814558432429

Error sum for iteration 3600 = 58.06391772746678

Error sum for iteration 3700 = 57.25010295635942

Error sum for iteration 3800 = 56.46748662651393

Error sum for iteration 3900 = 55.719291954930796

Error sum for iteration 4000 = 55.01578132365445

Error sum for iteration 4100 = 54.339856731740404

Error sum for iteration 4200 = 53.69224434079749

Error sum for iteration 4300 = 53.07773005635562

Error sum for iteration 4400 = 52.492934340928514

Error sum for iteration 4500 = 51.94395332936463

Error sum for iteration 4600 = 51.42872872445838

Error sum for iteration 4700 = 50.935015040129656

Error sum for iteration 4800 = 50.47309543943294

Error sum for iteration 4900 = 50.032630129379214

Error sum for iteration 5000 = 49.611406464653804

Error sum for iteration 5100 = 49.21642651631054

Error sum for iteration 5200 = 48.84281665119685

Error sum for iteration 5300 = 48.48903061177212

Error sum for iteration 5400 = 48.147259487937

Error sum for iteration 5500 = 47.821209603665565

Error sum for iteration 5600 = 47.51064404507743

Error sum for iteration 5700 = 47.22054161107579

Error sum for iteration 5800 = 46.93945500075701

Error sum for iteration 5900 = 46.67142675145904

Error sum for iteration 6000 = 46.418847216563144

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 17
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	17
	-M	0.01
Input Weights:
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	age
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Private
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Self-emp-not-inc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Self-emp-inc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Federal-gov
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Local-gov
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=State-gov
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	workclass=Without-pay
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Never-worked
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	fnlwgt
	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	education=Bachelors
	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	education=Some-college
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	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	native-country=Scotland
	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	native-country=Thailand
	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	native-country=Yugoslavia
	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	native-country=El-Salvador
	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	native-country=Trinadad&Tobago
	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	native-country=Peru
	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	native-country=Hong
	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Holand-Netherlands
Hidden Weights:
	0.25115867951436077	-0.35753542345823663
	0.14524408426168445	-0.33250439608730176
	0.8747734558691722	0.49396753791436887
	-0.16871565522917198	-0.19425152640542231
	-0.6403322153955309	-0.7728991943769088
	-0.5126175118010394	0.4965900167176467
	-0.6163659737914318	-0.2992894887101174
	-0.03426674926600959	-0.1758731975058816
	0.04579044306017788	0.7009261943862781
	-0.8830441327522516	0.5192017807828053
	0.7974363544701568	0.1579481594692207
	0.11265223269788005	-0.8411901371146984
	0.11903207402609706	0.22381192713837228
	0.5295250729369649	0.8607130398835598
	0.6002061750409429	0.8545227110297191
	0.09967310767716397	0.27711350462768713
	-0.4300363280174142	0.11622527603109911
		>50K		<=50K

Error sum for iteration 100 = 78.4278897223115

Error sum for iteration 200 = 80.5397532701754

Error sum for iteration 300 = 82.15433960981582

Error sum for iteration 400 = 83.43553078765925

Error sum for iteration 500 = 84.84152128335015

Error sum for iteration 600 = 86.17620415032411

Error sum for iteration 700 = 87.1341576376935

Error sum for iteration 800 = 87.48662646823901

Error sum for iteration 900 = 87.33054363453903

Error sum for iteration 1000 = 86.77162779248343

Error sum for iteration 1100 = 85.88929217095824

Error sum for iteration 1200 = 84.78717428280753

Error sum for iteration 1300 = 83.69070062004705

Error sum for iteration 1400 = 82.48650262460636

Error sum for iteration 1500 = 81.26756548572463

Error sum for iteration 1600 = 80.06347451756781

Error sum for iteration 1700 = 78.91994200725462

Error sum for iteration 1800 = 77.83028323679049

Error sum for iteration 1900 = 76.8068532135592

Error sum for iteration 2000 = 75.82011105376354

Error sum for iteration 2100 = 74.86392353515693

Error sum for iteration 2200 = 73.93333020461928

Error sum for iteration 2300 = 73.00759970489837

Error sum for iteration 2400 = 72.07939524538256

Error sum for iteration 2500 = 71.16039163686094

Error sum for iteration 2600 = 70.24445790701893

Error sum for iteration 2700 = 69.3561087482778

Error sum for iteration 2800 = 68.48288356397948

Error sum for iteration 2900 = 67.6279058004433

Error sum for iteration 3000 = 66.80241756136999

Error sum for iteration 3100 = 66.01341408247836

Error sum for iteration 3200 = 65.25987456655538

Error sum for iteration 3300 = 64.52669007341545

Error sum for iteration 3400 = 63.80855825523116

Error sum for iteration 3500 = 63.10653632609026

Error sum for iteration 3600 = 62.421368419920896

Error sum for iteration 3700 = 61.743378824393325

Error sum for iteration 3800 = 61.068424073943355

Error sum for iteration 3900 = 60.39475160157772

Error sum for iteration 4000 = 59.722788592254055

Error sum for iteration 4100 = 59.066680573969684

Error sum for iteration 4200 = 58.43087058623322

Error sum for iteration 4300 = 57.8161036239776

Error sum for iteration 4400 = 57.227590059785435

Error sum for iteration 4500 = 56.65578098968564

Error sum for iteration 4600 = 56.105032458913335

Error sum for iteration 4700 = 55.580296476023754

Error sum for iteration 4800 = 55.08058989612995

Error sum for iteration 4900 = 54.59194545932492

Error sum for iteration 5000 = 54.11345147395873

Error sum for iteration 5100 = 53.64387536605267

Error sum for iteration 5200 = 53.18837306149665

Error sum for iteration 5300 = 52.741454636795865

Error sum for iteration 5400 = 52.29855585630759

Error sum for iteration 5500 = 51.86038712869713

Error sum for iteration 5600 = 51.42875404135381

Error sum for iteration 5700 = 51.0057191452001

Error sum for iteration 5800 = 50.59235673805331

Error sum for iteration 5900 = 50.188616531174674

Error sum for iteration 6000 = 49.79212475755514

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 17
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	17
	-M	0.01
Input Weights:
	-0.18436848993945265	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	age
	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	workclass=Private
	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	workclass=Self-emp-not-inc
	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	workclass=Self-emp-inc
	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	workclass=Federal-gov
	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Local-gov
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	workclass=State-gov
	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	workclass=Without-pay
	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Never-worked
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	fnlwgt
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	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	education=Some-college
	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	education=11th
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	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	-0.8052521267087358	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	education=Prof-school
	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	0.5840656262926034	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	education=Assoc-acdm
	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	0.6558060728661492	-0.46965793778935394	-0.19368225926117932	0.909566023324327	education=Assoc-voc
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	-0.5935556683860697	0.9024081434354652	0.14997473977882336	0.32821104789919797	0.11298187886223032	-0.5106740773680689	-0.8330475962459081	-0.22126839263747633	0.3754806051970456	0.749163981694887	0.20677462614292264	0.09495730792764712	-0.3631710850273364	0.6960586212385877	0.88124457343201	0.44697269499990067	-0.09472139338756658	native-country=Cuba
	0.9272311097591575	0.20747791510614233	-0.09362009614895817	-0.7185317251600383	-0.04376563565162361	-0.5813598252384222	0.11604456534728302	-0.9261903396319762	0.7236596580758601	-0.7175473513694883	0.44262090494363426	-0.5461624779353933	0.8936913620130253	-0.5755813900822768	0.8200040303931639	0.04293214885636076	0.17604826206862545	native-country=Iran
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	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	-0.9325897743605436	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	native-country=Jamaica
	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	-0.9179178855604317	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	native-country=Vietnam
	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	0.20310362406076088	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	native-country=Mexico
	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	0.4482035446214254	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	native-country=Portugal
	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	-0.4751222168213256	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	native-country=Ireland
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	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	-0.8353818230055656	-0.17210626008832475	0.42585742222771983	0.9005790704979058	0.667698146056507	-0.03421158786673284	native-country=Dominican-Republic
	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	-0.5857981008515352	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	native-country=Laos
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	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Hungary
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	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	native-country=Peru
	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	native-country=Hong
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Hidden Weights:
	0.25115867951436077	-0.35753542345823663
	0.14524408426168445	-0.33250439608730176
	0.8747734558691722	0.49396753791436887
	-0.16871565522917198	-0.19425152640542231
	-0.6403322153955309	-0.7728991943769088
	-0.5126175118010394	0.4965900167176467
	-0.6163659737914318	-0.2992894887101174
	-0.03426674926600959	-0.1758731975058816
	0.04579044306017788	0.7009261943862781
	-0.8830441327522516	0.5192017807828053
	0.7974363544701568	0.1579481594692207
	0.11265223269788005	-0.8411901371146984
	0.11903207402609706	0.22381192713837228
	0.5295250729369649	0.8607130398835598
	0.6002061750409429	0.8545227110297191
	0.09967310767716397	0.27711350462768713
	-0.4300363280174142	0.11622527603109911
		>50K		<=50K

Error sum for iteration 100 = 84.09121825170132

Error sum for iteration 200 = 91.02335946632157

Error sum for iteration 300 = 95.0394933849317

Error sum for iteration 400 = 97.82105401887776

Error sum for iteration 500 = 99.9191905397954

Error sum for iteration 600 = 101.28387724688656

Error sum for iteration 700 = 101.62569415560047

Error sum for iteration 800 = 100.87827281055036

Error sum for iteration 900 = 99.21699739393893

Error sum for iteration 1000 = 96.90564347415416

Error sum for iteration 1100 = 94.27615019611787

Error sum for iteration 1200 = 91.61081757699613

Error sum for iteration 1300 = 89.02648264577367

Error sum for iteration 1400 = 86.53228358149472

Error sum for iteration 1500 = 84.07702151927731

Error sum for iteration 1600 = 81.67189197788049

Error sum for iteration 1700 = 79.3107877331869

Error sum for iteration 1800 = 77.02223061499409

Error sum for iteration 1900 = 74.81547121155066

Error sum for iteration 2000 = 72.69364853273403

Error sum for iteration 2100 = 70.67576721674017

Error sum for iteration 2200 = 68.78297281375252

Error sum for iteration 2300 = 67.03789168286353

Error sum for iteration 2400 = 65.43442961955893

Error sum for iteration 2500 = 63.954256950116665

Error sum for iteration 2600 = 62.59076363676118

Error sum for iteration 2700 = 61.346364338213206

Error sum for iteration 2800 = 60.21320044839269

Error sum for iteration 2900 = 59.162297960306866

Error sum for iteration 3000 = 58.21103417523636

Error sum for iteration 3100 = 57.33580888334351

Error sum for iteration 3200 = 56.51600091103189

Error sum for iteration 3300 = 55.7442377484289

Error sum for iteration 3400 = 55.01642077462905

Error sum for iteration 3500 = 54.34204297633479

Error sum for iteration 3600 = 53.714023980088015

Error sum for iteration 3700 = 53.11749500633528

Error sum for iteration 3800 = 52.572416152649204

Error sum for iteration 3900 = 52.059981707084454

Error sum for iteration 4000 = 51.57457538936523

Error sum for iteration 4100 = 51.128338418566145

Error sum for iteration 4200 = 50.7048940424347

Error sum for iteration 4300 = 50.30115653989486

Error sum for iteration 4400 = 49.919400282797454

Error sum for iteration 4500 = 49.555942288369806

Error sum for iteration 4600 = 49.204443726952974

Error sum for iteration 4700 = 48.86970704160532

Error sum for iteration 4800 = 48.5485406439367

Error sum for iteration 4900 = 48.24218974304997

Error sum for iteration 5000 = 47.953195288841044

Error sum for iteration 5100 = 47.672264744807194

Error sum for iteration 5200 = 47.4035776315594

Error sum for iteration 5300 = 47.140628024255385

Error sum for iteration 5400 = 46.886371583356265

Error sum for iteration 5500 = 46.650821885423454

Error sum for iteration 5600 = 46.42805601776626

Error sum for iteration 5700 = 46.20529331365233

Error sum for iteration 5800 = 45.984831079910265

Error sum for iteration 5900 = 45.764003477789615

Error sum for iteration 6000 = 45.542159329904

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 18
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	18
	-M	0.01
Input Weights:
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	0.5074132206202733	0.5364309295418086	-0.7444417354937529	-0.655884750889107	-0.6190026384056442	0.8122113292205706	-0.8585589210592544	0.002736262010302193	0.8067121803256154	0.6626835603747017	0.11443023060000046	-0.8175755197848438	0.061785374814112615	0.16827831572278162	-0.10471968241299878	-0.46101305136321513	-0.25724333961204504	0.24672385965438104	native-country=Iran
	0.5368438233102857	-0.6971395506509055	0.6534761986549944	0.09893262849839002	-0.9668264591639326	-0.32684126888205123	0.17528982757538736	-0.9171364185170041	-0.18903458282185803	-0.27690049271000716	0.8941862735321	-0.911117057628916	0.8962462586770819	0.5446938607133103	0.39322016715637886	0.4047838702297073	-0.1048619612020616	-0.414482416807024	native-country=Honduras
	-0.8569870094585823	-0.7007068475518292	-0.4907378396239568	0.43971851308842647	-0.3025289960682491	0.7336459905626844	0.3285728342362475	-0.09721095422147541	0.358006572244983	0.45830927624905526	-0.16657167226868186	-0.6270763659641012	-0.9751958361887072	-0.9131660112332809	0.6293325562532395	0.8723803923494353	-0.5878693737673264	-0.5540566309741897	native-country=Philippines
	0.7468477117629342	-0.609328280834321	-0.22275903673731468	-0.6499384518751035	0.9957733897330667	0.18995492630374677	-0.9307156691762841	0.02493161898808327	0.8047451357346247	0.06712110825781559	-0.7911946719909968	0.21979590299878304	-0.8389133390986636	0.7455725423131176	0.8527505345414916	0.8259407848100855	0.5529746765251329	-0.5632091139210895	native-country=Italy
	-0.39753516458382676	0.18402257315039572	-0.41911583066498603	0.665143888432755	0.3530259274307044	0.8794171935598027	-0.4238125208531369	-0.34261434376317945	-0.7968772563536546	0.9163359789572116	0.7155078555926024	0.02993179394633705	0.4738215211899717	0.38051157661071144	-0.6936309838597625	0.16636891344819493	0.06385407160575318	-0.6675471216305953	native-country=Poland
	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	native-country=Jamaica
	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	0.9259771290475656	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	native-country=Vietnam
	-0.17210626008832475	0.42585742222771983	0.9005790704979058	0.667698146056507	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	native-country=Mexico
	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	-0.06766318528405124	-0.9323914259405999	native-country=Portugal
	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	native-country=Ireland
	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	native-country=France
	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	native-country=Dominican-Republic
	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Laos
	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	native-country=Ecuador
	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	native-country=Taiwan
	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	native-country=Haiti
	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	native-country=Columbia
	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	native-country=Hungary
	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	native-country=Guatemala
	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	native-country=Nicaragua
	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	native-country=Scotland
	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	native-country=Thailand
	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Yugoslavia
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	native-country=El-Salvador
	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	native-country=Trinadad&Tobago
	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	native-country=Peru
	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	native-country=Hong
	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Holand-Netherlands
Hidden Weights:
	-0.100735992258006	-0.047398643870806945
	0.003349403607727508	0.21050293805828968
	-0.01463457274633595	-0.4584106850782359
	0.31199307927865716	-0.1319634878720568
	-0.785625448740753	0.08766039897019495
	-0.5658968996869185	-0.7594944550189433
	-0.22207162687243698	-0.6824919750445575
	2.951745036046116E-4	-0.14869200087855905
	-0.6461080759517035	-0.004256195841049193
	-0.4690993777419201	0.13572485942557155
	0.7554395829784395	-0.7544554055130603
	0.14033467036799085	-0.053508084542813084
	-0.7428915074947406	-0.061385751181973536
	0.5129726281612113	0.06349025048739976
	-0.42690254887468937	-0.7439134623003132
	0.06874100780749459	-0.26652896364325995
	0.8445304949368129	0.07782047386556878
	0.33213085570842105	0.7655868386820608
		>50K		<=50K

Error sum for iteration 100 = 70.55483481620121

Error sum for iteration 200 = 73.1693318137718

Error sum for iteration 300 = 75.18491266385774

Error sum for iteration 400 = 77.43319215116341

Error sum for iteration 500 = 79.34713776071796

Error sum for iteration 600 = 81.1804148674603

Error sum for iteration 700 = 82.67129843458119

Error sum for iteration 800 = 83.74625513304458

Error sum for iteration 900 = 84.66831143914028

Error sum for iteration 1000 = 85.54219002994293

Error sum for iteration 1100 = 86.21483172693229

Error sum for iteration 1200 = 86.59745375708906

Error sum for iteration 1300 = 86.60768830350992

Error sum for iteration 1400 = 86.21122700465813

Error sum for iteration 1500 = 85.42544392834296

Error sum for iteration 1600 = 84.26955599152299

Error sum for iteration 1700 = 82.81100913116727

Error sum for iteration 1800 = 81.08744908788633

Error sum for iteration 1900 = 79.10596669480427

Error sum for iteration 2000 = 76.94156738123787

Error sum for iteration 2100 = 74.64091407508488

Error sum for iteration 2200 = 72.27086605835666

Error sum for iteration 2300 = 69.92975341324883

Error sum for iteration 2400 = 67.65473378644198

Error sum for iteration 2500 = 65.48979832834821

Error sum for iteration 2600 = 63.4399772078869

Error sum for iteration 2700 = 61.505975176256804

Error sum for iteration 2800 = 59.70538444702673

Error sum for iteration 2900 = 58.04262240159896

Error sum for iteration 3000 = 56.511530836834496

Error sum for iteration 3100 = 55.11337698262349

Error sum for iteration 3200 = 53.84014375553422

Error sum for iteration 3300 = 52.71710787879188

Error sum for iteration 3400 = 51.70786097582142

Error sum for iteration 3500 = 50.80650560016671

Error sum for iteration 3600 = 49.99700104914356

Error sum for iteration 3700 = 49.288482810632686

Error sum for iteration 3800 = 48.63576582808851

Error sum for iteration 3900 = 48.002308979011374

Error sum for iteration 4000 = 47.37008993162314

Error sum for iteration 4100 = 46.7420613525945

Error sum for iteration 4200 = 46.134536542119655

Error sum for iteration 4300 = 45.56975539961971

Error sum for iteration 4400 = 45.02806868036108

Error sum for iteration 4500 = 44.499760650940466

Error sum for iteration 4600 = 44.00411408142697

Error sum for iteration 4700 = 43.53669139655187

Error sum for iteration 4800 = 43.097619345193074

Error sum for iteration 4900 = 42.687309095945494

Error sum for iteration 5000 = 42.29064934237128

Error sum for iteration 5100 = 41.90639658645388

Error sum for iteration 5200 = 41.5466708692082

Error sum for iteration 5300 = 41.21728956144794

Error sum for iteration 5400 = 40.910151537895715

Error sum for iteration 5500 = 40.61269151975446

Error sum for iteration 5600 = 40.3281560997836

Error sum for iteration 5700 = 40.05183674052012

Error sum for iteration 5800 = 39.777606438638436

Error sum for iteration 5900 = 39.509638248833774

Error sum for iteration 6000 = 39.24548724788479

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 18
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	18
	-M	0.01
Input Weights:
	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	age
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	0.6578187800408488	0.4805289792490426	0.06097115107853246	0.9375992066647738	0.9753533335318691	0.7009136613996194	0.008300581035412202	-0.17690644232880293	0.24067085425699952	-0.10173962451980811	-0.42975629158385154	0.4345331750163808	0.9752204786385938	0.734664788334592	-0.09358746704428844	-0.8329165330462753	0.045854903026025795	-0.6005383222969352	native-country=Jamaica
	-0.7715018830705664	0.6754789812451372	-0.1361222666472186	0.881369997009777	-0.1413568793590112	-0.649944340042907	0.9259771290475656	-0.11484958771126053	0.40343123751728305	-0.2712815547351686	0.5359510102300158	-0.18035694801507218	-0.3790868758652397	0.25163247027389724	0.6203180309997658	-0.3628566177725361	0.4820373764578081	-0.9593649127991541	native-country=Vietnam
	-0.17210626008832475	0.42585742222771983	0.9005790704979058	0.667698146056507	-0.03421158786673284	0.5387286743227826	0.7546908500487937	-0.7532977553998692	0.3838033048910843	0.44930505730959425	-0.3148521782130804	0.6503978261556629	0.5614864099297769	0.8659093268538263	-0.09953131621980882	0.22948059741080562	0.86348654693385	0.6301181542850338	native-country=Mexico
	-0.4839797380005284	-0.3627625860774617	-0.07983277025925894	-0.005212769869343381	0.48022278125484297	0.3595557257349269	-0.18995164428315792	-0.9656425141157039	-0.2387985919050617	-0.4839475663535784	0.7749356352108114	-0.6153640187022049	-0.7905364777361872	-0.796104020079033	0.9308438785541044	0.9209782386891472	-0.06766318528405124	-0.9323914259405999	native-country=Portugal
	-0.3790051493727644	0.6995736451801942	0.10921554606058992	-0.7348294664540835	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	native-country=Ireland
	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	native-country=France
	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	native-country=Dominican-Republic
	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Laos
	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	native-country=Ecuador
	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	native-country=Taiwan
	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	native-country=Haiti
	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	native-country=Columbia
	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	native-country=Hungary
	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	native-country=Guatemala
	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	native-country=Nicaragua
	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	native-country=Scotland
	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	native-country=Thailand
	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Yugoslavia
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	native-country=El-Salvador
	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	native-country=Trinadad&Tobago
	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	native-country=Peru
	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	native-country=Hong
	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Holand-Netherlands
Hidden Weights:
	-0.100735992258006	-0.047398643870806945
	0.003349403607727508	0.21050293805828968
	-0.01463457274633595	-0.4584106850782359
	0.31199307927865716	-0.1319634878720568
	-0.785625448740753	0.08766039897019495
	-0.5658968996869185	-0.7594944550189433
	-0.22207162687243698	-0.6824919750445575
	2.951745036046116E-4	-0.14869200087855905
	-0.6461080759517035	-0.004256195841049193
	-0.4690993777419201	0.13572485942557155
	0.7554395829784395	-0.7544554055130603
	0.14033467036799085	-0.053508084542813084
	-0.7428915074947406	-0.061385751181973536
	0.5129726281612113	0.06349025048739976
	-0.42690254887468937	-0.7439134623003132
	0.06874100780749459	-0.26652896364325995
	0.8445304949368129	0.07782047386556878
	0.33213085570842105	0.7655868386820608
		>50K		<=50K

Error sum for iteration 100 = 71.13189764340704

Error sum for iteration 200 = 72.61678143195736

Error sum for iteration 300 = 73.15984078596699

Error sum for iteration 400 = 74.74601892769422

Error sum for iteration 500 = 77.13408356017986

Error sum for iteration 600 = 79.16249983321639

Error sum for iteration 700 = 81.11012702215456

Error sum for iteration 800 = 82.77756390522217

Error sum for iteration 900 = 84.0756375991995

Error sum for iteration 1000 = 84.90392947001786

Error sum for iteration 1100 = 85.28905072048673

Error sum for iteration 1200 = 85.29602475885277

Error sum for iteration 1300 = 85.02382384266652

Error sum for iteration 1400 = 84.49467544561885

Error sum for iteration 1500 = 83.64631472841182

Error sum for iteration 1600 = 82.5603425561947

Error sum for iteration 1700 = 81.2395511651247

Error sum for iteration 1800 = 79.73553069212532

Error sum for iteration 1900 = 78.1494245963613

Error sum for iteration 2000 = 76.45025189237785

Error sum for iteration 2100 = 74.63672682940181

Error sum for iteration 2200 = 72.70768726092115

Error sum for iteration 2300 = 70.72294029351758

Error sum for iteration 2400 = 68.74274635442055

Error sum for iteration 2500 = 66.804739738069

Error sum for iteration 2600 = 64.93577963453457

Error sum for iteration 2700 = 63.164483529372085

Error sum for iteration 2800 = 61.5063379404501

Error sum for iteration 2900 = 59.98325800812024

Error sum for iteration 3000 = 58.590474436015725

Error sum for iteration 3100 = 57.32543969235453

Error sum for iteration 3200 = 56.1937425145409

Error sum for iteration 3300 = 55.189108408293336

Error sum for iteration 3400 = 54.26229195328747

Error sum for iteration 3500 = 53.40932477471409

Error sum for iteration 3600 = 52.6259211478028

Error sum for iteration 3700 = 51.8995741582997

Error sum for iteration 3800 = 51.225378406418926

Error sum for iteration 3900 = 50.598600900776574

Error sum for iteration 4000 = 50.01267821213962

Error sum for iteration 4100 = 49.457731162196936

Error sum for iteration 4200 = 48.95025306603763

Error sum for iteration 4300 = 48.47187967411612

Error sum for iteration 4400 = 48.0089251800176

Error sum for iteration 4500 = 47.56696388857937

Error sum for iteration 4600 = 47.147470893337626

Error sum for iteration 4700 = 46.752515933697424

Error sum for iteration 4800 = 46.372481295089145

Error sum for iteration 4900 = 46.000997409082125

Error sum for iteration 5000 = 45.63912583757775

Error sum for iteration 5100 = 45.29642919821672

Error sum for iteration 5200 = 44.972283171833176

Error sum for iteration 5300 = 44.659269410650836

Error sum for iteration 5400 = 44.36335257327962

Error sum for iteration 5500 = 44.07676695942146

Error sum for iteration 5600 = 43.79507449619514

Error sum for iteration 5700 = 43.517505633927655

Error sum for iteration 5800 = 43.24777254412689

Error sum for iteration 5900 = 42.98285433329259

Error sum for iteration 6000 = 42.72603049506123

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 18
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	18
	-M	0.01
Input Weights:
	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	age
	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	workclass=Private
	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	workclass=Self-emp-not-inc
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	workclass=Self-emp-inc
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	workclass=Federal-gov
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	workclass=Local-gov
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	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	0.5999893810083796	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	native-country=France
	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	0.8543386189854205	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	native-country=Dominican-Republic
	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	-0.7693374052516257	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	native-country=Laos
	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	0.615305032147764	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	native-country=Ecuador
	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	0.06958660379048576	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	native-country=Taiwan
	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	native-country=Haiti
	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	native-country=Columbia
	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	native-country=Hungary
	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	native-country=Guatemala
	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	native-country=Nicaragua
	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	native-country=Scotland
	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	native-country=Thailand
	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Yugoslavia
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	native-country=El-Salvador
	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	native-country=Trinadad&Tobago
	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	native-country=Peru
	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	native-country=Hong
	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Holand-Netherlands
Hidden Weights:
	-0.100735992258006	-0.047398643870806945
	0.003349403607727508	0.21050293805828968
	-0.01463457274633595	-0.4584106850782359
	0.31199307927865716	-0.1319634878720568
	-0.785625448740753	0.08766039897019495
	-0.5658968996869185	-0.7594944550189433
	-0.22207162687243698	-0.6824919750445575
	2.951745036046116E-4	-0.14869200087855905
	-0.6461080759517035	-0.004256195841049193
	-0.4690993777419201	0.13572485942557155
	0.7554395829784395	-0.7544554055130603
	0.14033467036799085	-0.053508084542813084
	-0.7428915074947406	-0.061385751181973536
	0.5129726281612113	0.06349025048739976
	-0.42690254887468937	-0.7439134623003132
	0.06874100780749459	-0.26652896364325995
	0.8445304949368129	0.07782047386556878
	0.33213085570842105	0.7655868386820608
		>50K		<=50K

Error sum for iteration 100 = 72.1305482124114

Error sum for iteration 200 = 72.28519164122083

Error sum for iteration 300 = 72.22033542980172

Error sum for iteration 400 = 73.61712407695666

Error sum for iteration 500 = 75.38492916130932

Error sum for iteration 600 = 77.22987459436537

Error sum for iteration 700 = 79.37416156990531

Error sum for iteration 800 = 81.4667267993672

Error sum for iteration 900 = 83.35564448704567

Error sum for iteration 1000 = 84.96121781868139

Error sum for iteration 1100 = 86.24288134471648

Error sum for iteration 1200 = 87.2094607700699

Error sum for iteration 1300 = 87.90483433157725

Error sum for iteration 1400 = 88.31213539748802

Error sum for iteration 1500 = 88.38834767376127

Error sum for iteration 1600 = 88.15452615236161

Error sum for iteration 1700 = 87.70147122771992

Error sum for iteration 1800 = 87.00803718080107

Error sum for iteration 1900 = 86.18011897396333

Error sum for iteration 2000 = 85.28976488731882

Error sum for iteration 2100 = 84.37481921478793

Error sum for iteration 2200 = 83.38280907393973

Error sum for iteration 2300 = 82.22671150911226

Error sum for iteration 2400 = 80.91029476645025

Error sum for iteration 2500 = 79.45171131404685

Error sum for iteration 2600 = 77.96077442246516

Error sum for iteration 2700 = 76.4869537589569

Error sum for iteration 2800 = 75.05796682787134

Error sum for iteration 2900 = 73.7009806016919

Error sum for iteration 3000 = 72.45649827188346

Error sum for iteration 3100 = 71.29264797804872

Error sum for iteration 3200 = 70.22164402202769

Error sum for iteration 3300 = 69.21042670060537

Error sum for iteration 3400 = 68.25605864736046

Error sum for iteration 3500 = 67.35459877243014

Error sum for iteration 3600 = 66.49464266166864

Error sum for iteration 3700 = 65.6618929060776

Error sum for iteration 3800 = 64.85423356587673

Error sum for iteration 3900 = 64.05853454763883

Error sum for iteration 4000 = 63.285542800308455

Error sum for iteration 4100 = 62.53569324939508

Error sum for iteration 4200 = 61.80491464645512

Error sum for iteration 4300 = 61.098054584278096

Error sum for iteration 4400 = 60.39093216304316

Error sum for iteration 4500 = 59.675525693251345

Error sum for iteration 4600 = 58.95317000683731

Error sum for iteration 4700 = 58.22707701123263

Error sum for iteration 4800 = 57.50551077659386

Error sum for iteration 4900 = 56.783511815708145

Error sum for iteration 5000 = 56.05869293359099

Error sum for iteration 5100 = 55.33333551273029

Error sum for iteration 5200 = 54.61451146776636

Error sum for iteration 5300 = 53.903738330338605

Error sum for iteration 5400 = 53.19804601035925

Error sum for iteration 5500 = 52.50355490288994

Error sum for iteration 5600 = 51.82518477509415

Error sum for iteration 5700 = 51.16048636000763

Error sum for iteration 5800 = 50.51101184383428

Error sum for iteration 5900 = 49.87588330426398

Error sum for iteration 6000 = 49.265096865855476

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 18
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	18
	-M	0.01
Input Weights:
	0.35404568170055617	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	age
	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	workclass=Private
	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	workclass=Self-emp-not-inc
	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	workclass=Self-emp-inc
	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	workclass=Federal-gov
	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	workclass=Local-gov
	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	workclass=State-gov
	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	workclass=Without-pay
	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	workclass=Never-worked
	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	fnlwgt
	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	education=Bachelors
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	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	-0.8074573275320105	-0.8304604480029791	-0.28838786533517125	native-country=Haiti
	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	native-country=Columbia
	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	native-country=Hungary
	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	native-country=Guatemala
	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	native-country=Nicaragua
	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	native-country=Scotland
	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	native-country=Thailand
	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Yugoslavia
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	native-country=El-Salvador
	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	native-country=Trinadad&Tobago
	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	native-country=Peru
	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	native-country=Hong
	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Holand-Netherlands
Hidden Weights:
	-0.100735992258006	-0.047398643870806945
	0.003349403607727508	0.21050293805828968
	-0.01463457274633595	-0.4584106850782359
	0.31199307927865716	-0.1319634878720568
	-0.785625448740753	0.08766039897019495
	-0.5658968996869185	-0.7594944550189433
	-0.22207162687243698	-0.6824919750445575
	2.951745036046116E-4	-0.14869200087855905
	-0.6461080759517035	-0.004256195841049193
	-0.4690993777419201	0.13572485942557155
	0.7554395829784395	-0.7544554055130603
	0.14033467036799085	-0.053508084542813084
	-0.7428915074947406	-0.061385751181973536
	0.5129726281612113	0.06349025048739976
	-0.42690254887468937	-0.7439134623003132
	0.06874100780749459	-0.26652896364325995
	0.8445304949368129	0.07782047386556878
	0.33213085570842105	0.7655868386820608
		>50K		<=50K

Error sum for iteration 100 = 73.2897896090838

Error sum for iteration 200 = 76.57753979893336

Error sum for iteration 300 = 80.28973298628577

Error sum for iteration 400 = 84.19979130185443

Error sum for iteration 500 = 87.72769353678143

Error sum for iteration 600 = 91.0332298026747

Error sum for iteration 700 = 93.9434684362542

Error sum for iteration 800 = 95.971828657178

Error sum for iteration 900 = 97.3243348775759

Error sum for iteration 1000 = 97.96017061780562

Error sum for iteration 1100 = 97.84109699549876

Error sum for iteration 1200 = 97.11961248406811

Error sum for iteration 1300 = 95.87848249796592

Error sum for iteration 1400 = 94.24143454434127

Error sum for iteration 1500 = 92.26169570101412

Error sum for iteration 1600 = 90.04668493838301

Error sum for iteration 1700 = 87.66374878232803

Error sum for iteration 1800 = 85.22492273677291

Error sum for iteration 1900 = 82.82593285642388

Error sum for iteration 2000 = 80.4866793969742

Error sum for iteration 2100 = 78.28114405873613

Error sum for iteration 2200 = 76.23150547281247

Error sum for iteration 2300 = 74.35977271261807

Error sum for iteration 2400 = 72.69694394940579

Error sum for iteration 2500 = 71.21504453787026

Error sum for iteration 2600 = 69.8894953978543

Error sum for iteration 2700 = 68.71321576626937

Error sum for iteration 2800 = 67.64900180264463

Error sum for iteration 2900 = 66.68710032461084

Error sum for iteration 3000 = 65.79582857258272

Error sum for iteration 3100 = 64.96280012800591

Error sum for iteration 3200 = 64.17152075778218

Error sum for iteration 3300 = 63.40271974121737

Error sum for iteration 3400 = 62.678832895713164

Error sum for iteration 3500 = 61.972010687903804

Error sum for iteration 3600 = 61.28891898392543

Error sum for iteration 3700 = 60.62040347906732

Error sum for iteration 3800 = 59.97032246446362

Error sum for iteration 3900 = 59.34336062630306

Error sum for iteration 4000 = 58.73840107620195

Error sum for iteration 4100 = 58.151588354497136

Error sum for iteration 4200 = 57.58649145496631

Error sum for iteration 4300 = 57.040397203537644

Error sum for iteration 4400 = 56.516935607477066

Error sum for iteration 4500 = 56.01508349114389

Error sum for iteration 4600 = 55.53468253253735

Error sum for iteration 4700 = 55.089414105107146

Error sum for iteration 4800 = 54.66234946724389

Error sum for iteration 4900 = 54.256062756443455

Error sum for iteration 5000 = 53.85403601267063

Error sum for iteration 5100 = 53.46231679607816

Error sum for iteration 5200 = 53.07952823559431

Error sum for iteration 5300 = 52.70004922115728

Error sum for iteration 5400 = 52.333111369318765

Error sum for iteration 5500 = 51.96510045649879

Error sum for iteration 5600 = 51.593766616358856

Error sum for iteration 5700 = 51.21233063400559

Error sum for iteration 5800 = 50.81995022012395

Error sum for iteration 5900 = 50.415799248816015

Error sum for iteration 6000 = 49.99565817401373

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 19
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	19
	-M	0.01
Input Weights:
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	age
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Private
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-not-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Self-emp-inc
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Federal-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Local-gov
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=State-gov
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Without-pay
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	workclass=Never-worked
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	fnlwgt
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Bachelors
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=Some-college
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	education=11th
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	education=HS-grad
	0.29236312644143125	-0.14400935763483202	0.37929161559298885	-0.665980455391862	-0.6953003912078857	-0.6692408298340637	0.7390167928403748	-0.15834221691044914	-0.8826351534036512	-0.7044925490055418	-0.3383842848866967	0.36676695362872547	0.09199800946014003	-0.12812128460495287	-0.8796244057631433	0.2587298813402168	0.6100231875717759	-0.2515056655993886	-0.7314870786462027	education=Prof-school
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	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	native-country=Haiti
	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	native-country=Columbia
	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Hungary
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	native-country=Guatemala
	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	native-country=Nicaragua
	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	native-country=Scotland
	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	native-country=Thailand
	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	-0.009067605141815038	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	native-country=Yugoslavia
	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	0.9085871301131221	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	native-country=El-Salvador
	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	0.07643396328989494	0.5129726281612113	0.06349025048739976	native-country=Trinadad&Tobago
	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	0.22943555811049565	0.9864602510169247	native-country=Peru
	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	0.36953816903140946	native-country=Hong
	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Holand-Netherlands
Hidden Weights:
	0.3120287985496204	0.7195569076385415
	-0.9942071014751512	-0.3085147999033866
	-0.442429445919424	0.5905778989194894
	0.6273202791862813	0.39395667076662577
	0.0060730691667816306	-0.1586992614330056
	0.878060726856009	0.717343514342077
	-0.6557056323548642	0.46177764115254116
	0.5575107936532642	-0.8575138396895088
	-0.48771394293418013	0.9652265767639219
	-0.47193265306338983	-0.19211565721326163
	-0.8277247303804667	0.7593230959858828
	0.36044630202042804	-0.05338305826037071
	0.37726460755854685	-0.7967803557721471
	-0.41007292400981976	-0.8913219765326885
	-0.47309183706682933	-0.3069193650922124
	-0.3546820925723657	-0.8762961398236968
	-0.5462465301184716	0.6098662537788784
	-0.3855543331753819	0.3380822400984287
	-0.9647772611685919	-0.19940281148987093
		>50K		<=50K

Error sum for iteration 100 = 84.48937456887461

Error sum for iteration 200 = 86.15637368000075

Error sum for iteration 300 = 87.79769766099126

Error sum for iteration 400 = 89.0069726043406

Error sum for iteration 500 = 89.41081594789227

Error sum for iteration 600 = 89.3575266545765

Error sum for iteration 700 = 88.96045894542308

Error sum for iteration 800 = 88.35656509229987

Error sum for iteration 900 = 87.52890769294551

Error sum for iteration 1000 = 86.43452600561058

Error sum for iteration 1100 = 85.11471634486101

Error sum for iteration 1200 = 83.64847809214042

Error sum for iteration 1300 = 82.07208350490501

Error sum for iteration 1400 = 80.44014842520724

Error sum for iteration 1500 = 78.7870055282348

Error sum for iteration 1600 = 77.12475760132682

Error sum for iteration 1700 = 75.38879045131974

Error sum for iteration 1800 = 73.58311249440953

Error sum for iteration 1900 = 71.73340306550955

Error sum for iteration 2000 = 69.85342157275224

Error sum for iteration 2100 = 67.91202628409114

Error sum for iteration 2200 = 65.94061532867735

Error sum for iteration 2300 = 63.990804468883866

Error sum for iteration 2400 = 62.10659394837662

Error sum for iteration 2500 = 60.32143873227461

Error sum for iteration 2600 = 58.64088442941059

Error sum for iteration 2700 = 57.10419915173808

Error sum for iteration 2800 = 55.68338506943082

Error sum for iteration 2900 = 54.358077474089306

Error sum for iteration 3000 = 53.148198156464304

Error sum for iteration 3100 = 52.04098419040742

Error sum for iteration 3200 = 51.02445741844288

Error sum for iteration 3300 = 50.097097518331786

Error sum for iteration 3400 = 49.25221026586246

Error sum for iteration 3500 = 48.4917449428639

Error sum for iteration 3600 = 47.79035825279866

Error sum for iteration 3700 = 47.14874732268916

Error sum for iteration 3800 = 46.55754431446551

Error sum for iteration 3900 = 46.01964651136044

Error sum for iteration 4000 = 45.518189052705495

Error sum for iteration 4100 = 45.0419676498928

Error sum for iteration 4200 = 44.58407621107825

Error sum for iteration 4300 = 44.15277131657555

Error sum for iteration 4400 = 43.74907466166657

Error sum for iteration 4500 = 43.366116546773625

Error sum for iteration 4600 = 43.0008256320228

Error sum for iteration 4700 = 42.65202940429039

Error sum for iteration 4800 = 42.3212463352094

Error sum for iteration 4900 = 42.00446765899789

Error sum for iteration 5000 = 41.701941944133765

Error sum for iteration 5100 = 41.405197427631386

Error sum for iteration 5200 = 41.11881581260829

Error sum for iteration 5300 = 40.84786899714603

Error sum for iteration 5400 = 40.591732830219804

Error sum for iteration 5500 = 40.34241043657039

Error sum for iteration 5600 = 40.103830657909924

Error sum for iteration 5700 = 39.86672436276341

Error sum for iteration 5800 = 39.63505210811928

Error sum for iteration 5900 = 39.41771432836737

Error sum for iteration 6000 = 39.20292238511024

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 19
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	19
	-M	0.01
Input Weights:
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	age
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Private
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-not-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Self-emp-inc
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Federal-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Local-gov
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=State-gov
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Without-pay
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	workclass=Never-worked
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	fnlwgt
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Bachelors
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=Some-college
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	education=11th
	0.3318700429233439	-0.4712154222806484	-0.8102748237259205	-0.3753133120683161	0.7342874215733786	-0.3434323378041848	0.7298333707679361	-0.3145876125032381	0.671297318176336	-0.7070769202740039	-0.45787810236344195	-0.09393967021424166	0.21294254467795404	0.3810690633751752	-0.6961949664419445	-0.6599898018854795	0.4121813494669462	0.7987563310342116	0.030048731289127106	education=HS-grad
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	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	native-country=Taiwan
	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	native-country=Haiti
	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	native-country=Columbia
	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Hungary
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	native-country=Guatemala
	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	native-country=Nicaragua
	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	native-country=Scotland
	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	native-country=Thailand
	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	-0.009067605141815038	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	native-country=Yugoslavia
	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	0.9085871301131221	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	native-country=El-Salvador
	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	0.07643396328989494	0.5129726281612113	0.06349025048739976	native-country=Trinadad&Tobago
	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	0.22943555811049565	0.9864602510169247	native-country=Peru
	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	0.36953816903140946	native-country=Hong
	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Holand-Netherlands
Hidden Weights:
	0.3120287985496204	0.7195569076385415
	-0.9942071014751512	-0.3085147999033866
	-0.442429445919424	0.5905778989194894
	0.6273202791862813	0.39395667076662577
	0.0060730691667816306	-0.1586992614330056
	0.878060726856009	0.717343514342077
	-0.6557056323548642	0.46177764115254116
	0.5575107936532642	-0.8575138396895088
	-0.48771394293418013	0.9652265767639219
	-0.47193265306338983	-0.19211565721326163
	-0.8277247303804667	0.7593230959858828
	0.36044630202042804	-0.05338305826037071
	0.37726460755854685	-0.7967803557721471
	-0.41007292400981976	-0.8913219765326885
	-0.47309183706682933	-0.3069193650922124
	-0.3546820925723657	-0.8762961398236968
	-0.5462465301184716	0.6098662537788784
	-0.3855543331753819	0.3380822400984287
	-0.9647772611685919	-0.19940281148987093
		>50K		<=50K

Error sum for iteration 100 = 85.78331362882155

Error sum for iteration 200 = 90.66840404067825

Error sum for iteration 300 = 93.71076212716584

Error sum for iteration 400 = 95.7732351900185

Error sum for iteration 500 = 97.51007368198465

Error sum for iteration 600 = 99.01805164991973

Error sum for iteration 700 = 100.19943595220239

Error sum for iteration 800 = 100.96406112612885

Error sum for iteration 900 = 101.17588075720872

Error sum for iteration 1000 = 100.87711287693368

Error sum for iteration 1100 = 100.10833245655228

Error sum for iteration 1200 = 98.99041990190265

Error sum for iteration 1300 = 97.61458235804541

Error sum for iteration 1400 = 96.10721206119618

Error sum for iteration 1500 = 94.5614357243388

Error sum for iteration 1600 = 93.01738224656877

Error sum for iteration 1700 = 91.49127896232775

Error sum for iteration 1800 = 89.96168376725684

Error sum for iteration 1900 = 88.41592517802107

Error sum for iteration 2000 = 86.87242083629658

Error sum for iteration 2100 = 85.36063712649258

Error sum for iteration 2200 = 83.83270804352972

Error sum for iteration 2300 = 82.30379241114181

Error sum for iteration 2400 = 80.80380420142762

Error sum for iteration 2500 = 79.35863876120047

Error sum for iteration 2600 = 77.99005330900192

Error sum for iteration 2700 = 76.65084761201514

Error sum for iteration 2800 = 75.3335382000008

Error sum for iteration 2900 = 74.10602708024727

Error sum for iteration 3000 = 72.93815454858435

Error sum for iteration 3100 = 71.81710846736347

Error sum for iteration 3200 = 70.74111652867003

Error sum for iteration 3300 = 69.69025309563763

Error sum for iteration 3400 = 68.65922585950662

Error sum for iteration 3500 = 67.65410151640549

Error sum for iteration 3600 = 66.67331811479436

Error sum for iteration 3700 = 65.72976052934521

Error sum for iteration 3800 = 64.80426619618257

Error sum for iteration 3900 = 63.878326899674576

Error sum for iteration 4000 = 62.963353756670344

Error sum for iteration 4100 = 62.0832419277682

Error sum for iteration 4200 = 61.220953600204794

Error sum for iteration 4300 = 60.38875590459336

Error sum for iteration 4400 = 59.60407512432042

Error sum for iteration 4500 = 58.84999272441817

Error sum for iteration 4600 = 58.139865520220575

Error sum for iteration 4700 = 57.48433401895929

Error sum for iteration 4800 = 56.87365506523075

Error sum for iteration 4900 = 56.283753106122326

Error sum for iteration 5000 = 55.71470275978699

Error sum for iteration 5100 = 55.169955979784234

Error sum for iteration 5200 = 54.64468942711979

Error sum for iteration 5300 = 54.13558763519054

Error sum for iteration 5400 = 53.638595839816226

Error sum for iteration 5500 = 53.156618869811375

Error sum for iteration 5600 = 52.68907801826851

Error sum for iteration 5700 = 52.23311269803945

Error sum for iteration 5800 = 51.785807578278735

Error sum for iteration 5900 = 51.34812518575788

Error sum for iteration 6000 = 50.91729685925884

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 19
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	19
	-M	0.01
Input Weights:
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	age
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Private
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-not-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Self-emp-inc
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Federal-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Local-gov
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=State-gov
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Without-pay
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	workclass=Never-worked
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	fnlwgt
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Bachelors
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=Some-college
	0.7914926659435082	0.8060090688259678	-0.7754849979767311	-0.8199239477244289	-0.3624990425363299	0.17426478820797997	-0.04747369577170679	0.8318864706475808	0.8283906631568214	-0.5773081979035071	0.7634928476087881	0.8827741425273947	0.5595325042991308	0.2943367935608967	0.959566799329884	0.45887707398738775	-0.8205550202122407	-0.2393111057892836	0.07591390176300705	education=11th
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	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	native-country=Ecuador
	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	native-country=Taiwan
	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	native-country=Haiti
	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	native-country=Columbia
	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Hungary
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	native-country=Guatemala
	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	native-country=Nicaragua
	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	native-country=Scotland
	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	native-country=Thailand
	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	-0.009067605141815038	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	native-country=Yugoslavia
	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	0.9085871301131221	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	native-country=El-Salvador
	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	0.07643396328989494	0.5129726281612113	0.06349025048739976	native-country=Trinadad&Tobago
	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	0.22943555811049565	0.9864602510169247	native-country=Peru
	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	0.36953816903140946	native-country=Hong
	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Holand-Netherlands
Hidden Weights:
	0.3120287985496204	0.7195569076385415
	-0.9942071014751512	-0.3085147999033866
	-0.442429445919424	0.5905778989194894
	0.6273202791862813	0.39395667076662577
	0.0060730691667816306	-0.1586992614330056
	0.878060726856009	0.717343514342077
	-0.6557056323548642	0.46177764115254116
	0.5575107936532642	-0.8575138396895088
	-0.48771394293418013	0.9652265767639219
	-0.47193265306338983	-0.19211565721326163
	-0.8277247303804667	0.7593230959858828
	0.36044630202042804	-0.05338305826037071
	0.37726460755854685	-0.7967803557721471
	-0.41007292400981976	-0.8913219765326885
	-0.47309183706682933	-0.3069193650922124
	-0.3546820925723657	-0.8762961398236968
	-0.5462465301184716	0.6098662537788784
	-0.3855543331753819	0.3380822400984287
	-0.9647772611685919	-0.19940281148987093
		>50K		<=50K

Error sum for iteration 100 = 85.14575657801731

Error sum for iteration 200 = 86.46561091509399

Error sum for iteration 300 = 87.68190614146528

Error sum for iteration 400 = 88.92836167018152

Error sum for iteration 500 = 90.25755957853865

Error sum for iteration 600 = 91.62740089075321

Error sum for iteration 700 = 93.01163952044251

Error sum for iteration 800 = 94.28834564779564

Error sum for iteration 900 = 95.29008286713305

Error sum for iteration 1000 = 95.95081885640461

Error sum for iteration 1100 = 96.28844150443855

Error sum for iteration 1200 = 96.34827978468735

Error sum for iteration 1300 = 96.07904210926236

Error sum for iteration 1400 = 95.50375410811911

Error sum for iteration 1500 = 94.65538624721201

Error sum for iteration 1600 = 93.59161511936806

Error sum for iteration 1700 = 92.42052162705136

Error sum for iteration 1800 = 91.1932560369976

Error sum for iteration 1900 = 89.9441451314284

Error sum for iteration 2000 = 88.72809524402624

Error sum for iteration 2100 = 87.46335948112345

Error sum for iteration 2200 = 86.15529195241866

Error sum for iteration 2300 = 84.77346033534158

Error sum for iteration 2400 = 83.33735467778517

Error sum for iteration 2500 = 81.87195608628464

Error sum for iteration 2600 = 80.3963030417339

Error sum for iteration 2700 = 78.93736669719674

Error sum for iteration 2800 = 77.52281428370304

Error sum for iteration 2900 = 76.15967196592226

Error sum for iteration 3000 = 74.85741556247048

Error sum for iteration 3100 = 73.62977118599385

Error sum for iteration 3200 = 72.46921520805272

Error sum for iteration 3300 = 71.38077966955137

Error sum for iteration 3400 = 70.34327096504826

Error sum for iteration 3500 = 69.3662619429305

Error sum for iteration 3600 = 68.44607437684074

Error sum for iteration 3700 = 67.59680085141665

Error sum for iteration 3800 = 66.82644522288177

Error sum for iteration 3900 = 66.10707244299725

Error sum for iteration 4000 = 65.43014671274035

Error sum for iteration 4100 = 64.78252955936543

Error sum for iteration 4200 = 64.16445920095747

Error sum for iteration 4300 = 63.566081537305095

Error sum for iteration 4400 = 63.007505421357564

Error sum for iteration 4500 = 62.48357862023752

Error sum for iteration 4600 = 61.9840738844614

Error sum for iteration 4700 = 61.49359265954558

Error sum for iteration 4800 = 61.01414241641697

Error sum for iteration 4900 = 60.54944856922946

Error sum for iteration 5000 = 60.10043443321046

Error sum for iteration 5100 = 59.6599265369045

Error sum for iteration 5200 = 59.22654752834642

Error sum for iteration 5300 = 58.80101197955276

Error sum for iteration 5400 = 58.381639847782075

Error sum for iteration 5500 = 57.96927158184965

Error sum for iteration 5600 = 57.56812827537346

Error sum for iteration 5700 = 57.1736883257858

Error sum for iteration 5800 = 56.784357882747706

Error sum for iteration 5900 = 56.3994799287518

Error sum for iteration 6000 = 56.02270021997405

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 19
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	19
	-M	0.01
Input Weights:
	0.1289895484894179	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	age
	-0.7374784322005226	-0.9941765703254897	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	workclass=Private
	0.7386582819310099	-0.22128294150543093	0.8732685514746852	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	workclass=Self-emp-not-inc
	0.8600173347982503	0.46930758431317954	0.7113049817803172	-0.7836124145378998	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	workclass=Self-emp-inc
	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	0.06771536742225126	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	workclass=Federal-gov
	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	0.7705863787543941	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	workclass=Local-gov
	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	0.9588034273738868	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	workclass=State-gov
	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	0.577875038480153	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	workclass=Without-pay
	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	-0.14022174520556052	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	workclass=Never-worked
	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	-0.13477493098322713	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	fnlwgt
	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	-0.1557581281230791	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	education=Bachelors
	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	0.9935012561887073	0.35331338664578227	-0.2607596136755561	0.4984903704149566	0.11629925834662957	-0.716784350655856	-0.6021815284471295	0.9721157125489632	education=Some-college
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	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	-0.017026624063259277	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	native-country=Laos
	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	-0.17250340535141118	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	native-country=Ecuador
	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	-0.8537665818512117	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	native-country=Taiwan
	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	-0.4894139620070306	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	native-country=Haiti
	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	-0.41728715658763926	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	native-country=Columbia
	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	-0.8533324086892009	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	native-country=Hungary
	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	0.9966328568169969	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	native-country=Guatemala
	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	-0.20502072975592767	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	native-country=Nicaragua
	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	0.4385511186357831	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	native-country=Scotland
	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	-0.7380911344963299	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	native-country=Thailand
	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	-0.009067605141815038	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	native-country=Yugoslavia
	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	0.9085871301131221	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	native-country=El-Salvador
	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	0.07643396328989494	0.5129726281612113	0.06349025048739976	native-country=Trinadad&Tobago
	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	0.22943555811049565	0.9864602510169247	native-country=Peru
	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	0.36953816903140946	native-country=Hong
	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Holand-Netherlands
Hidden Weights:
	0.3120287985496204	0.7195569076385415
	-0.9942071014751512	-0.3085147999033866
	-0.442429445919424	0.5905778989194894
	0.6273202791862813	0.39395667076662577
	0.0060730691667816306	-0.1586992614330056
	0.878060726856009	0.717343514342077
	-0.6557056323548642	0.46177764115254116
	0.5575107936532642	-0.8575138396895088
	-0.48771394293418013	0.9652265767639219
	-0.47193265306338983	-0.19211565721326163
	-0.8277247303804667	0.7593230959858828
	0.36044630202042804	-0.05338305826037071
	0.37726460755854685	-0.7967803557721471
	-0.41007292400981976	-0.8913219765326885
	-0.47309183706682933	-0.3069193650922124
	-0.3546820925723657	-0.8762961398236968
	-0.5462465301184716	0.6098662537788784
	-0.3855543331753819	0.3380822400984287
	-0.9647772611685919	-0.19940281148987093
		>50K		<=50K

Error sum for iteration 100 = 85.95652744302944

Error sum for iteration 200 = 88.11634229782908

Error sum for iteration 300 = 91.05643890370573

Error sum for iteration 400 = 94.35011376977175

Error sum for iteration 500 = 96.94520987277066

Error sum for iteration 600 = 98.70521915000975

Error sum for iteration 700 = 99.83460358017203

Error sum for iteration 800 = 100.43469407593082

Error sum for iteration 900 = 100.51017143669408

Error sum for iteration 1000 = 100.12609017948868

Error sum for iteration 1100 = 99.43588714107557

Error sum for iteration 1200 = 98.38888935649639

Error sum for iteration 1300 = 96.97799938716348

Error sum for iteration 1400 = 95.15227131391603

Error sum for iteration 1500 = 93.04867835284092

Error sum for iteration 1600 = 90.75920902233611

Error sum for iteration 1700 = 88.35637901913914

Error sum for iteration 1800 = 85.81439990589892

Error sum for iteration 1900 = 83.24776789117098

Error sum for iteration 2000 = 80.73130723207039

Error sum for iteration 2100 = 78.29413814162069

Error sum for iteration 2200 = 76.02691073898353

Error sum for iteration 2300 = 73.92524067195778

Error sum for iteration 2400 = 72.0439181768382

Error sum for iteration 2500 = 70.35375816666009

Error sum for iteration 2600 = 68.82915244494279

Error sum for iteration 2700 = 67.48725584743653

Error sum for iteration 2800 = 66.28440413410246

Error sum for iteration 2900 = 65.22161842704236

Error sum for iteration 3000 = 64.27623431228731

Error sum for iteration 3100 = 63.41545802789122

Error sum for iteration 3200 = 62.636800856933945

Error sum for iteration 3300 = 61.92235804126889

Error sum for iteration 3400 = 61.26126784107725

Error sum for iteration 3500 = 60.65974846391127

Error sum for iteration 3600 = 60.09843777906929

Error sum for iteration 3700 = 59.580512086152225

Error sum for iteration 3800 = 59.10043856303145

Error sum for iteration 3900 = 58.64770623066781

Error sum for iteration 4000 = 58.21450739710984

Error sum for iteration 4100 = 57.80250614898331

Error sum for iteration 4200 = 57.412363771897034

Error sum for iteration 4300 = 57.04134397880568

Error sum for iteration 4400 = 56.681079733877716

Error sum for iteration 4500 = 56.33465166381752

Error sum for iteration 4600 = 55.99692169867936

Error sum for iteration 4700 = 55.662472945881056

Error sum for iteration 4800 = 55.33425204889973

Error sum for iteration 4900 = 55.01674120142652

Error sum for iteration 5000 = 54.70593503111117

Error sum for iteration 5100 = 54.4077367551984

Error sum for iteration 5200 = 54.11766263282574

Error sum for iteration 5300 = 53.828078835331944

Error sum for iteration 5400 = 53.539996567470254

Error sum for iteration 5500 = 53.25826314281496

Error sum for iteration 5600 = 52.97550973887512

Error sum for iteration 5700 = 52.69104913467577

Error sum for iteration 5800 = 52.40585009975077

Error sum for iteration 5900 = 52.11643650778658

Error sum for iteration 6000 = 51.8241077670134

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 20
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	20
	-M	0.01
Input Weights:
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	age
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Private
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Self-emp-not-inc
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	workclass=Self-emp-inc
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Federal-gov
	0.06617394387462605	0.5765364599401037	0.8426144116475942	0.8327341647144753	0.3519649878204687	-0.2962639879621649	-0.041167475866655145	0.5613361148008718	0.8347936601406298	0.25224175993986075	0.6858042675949227	-0.3916223148526381	0.0213852744499492	-0.7694858883997258	-0.23107035589003333	-0.5448980572453885	0.07392505220665302	-0.7743602924726123	-0.3868056106877811	-0.4066492206549974	workclass=Local-gov
	0.683439526790306	-0.35328252112531566	-0.7450195566150712	0.2144955484473423	-0.8169065295936873	0.07043196472668356	0.18623925116064677	-0.4570171700216168	-0.5497609941338921	-0.35931148004205404	-0.838739819488086	0.14201331269386586	-0.29398326067801017	0.7507120463364467	-0.06141390435721328	-0.2791107887717159	0.6155516989628087	0.008481705696100406	-0.8130868684615102	-0.5196402282166648	workclass=State-gov
	0.7527463689377216	-0.4589998243104756	0.9875892136094078	-0.6096942695908425	-0.4944728720491516	-0.6040384473956397	0.8400594521795282	-0.5761716128794636	-0.7714002671185514	-0.6920777660881428	-0.7123424453407838	-0.6379821625470092	0.4330902752600698	0.9412835449567474	-0.4299097818975197	0.2845781187669929	0.685457702810746	0.38761061595639634	-0.3728444495767562	-0.5824220680319918	workclass=Without-pay
	-0.6215802378816397	-0.9477041214331456	-0.7740195960946559	0.6053867268743627	-0.5760906427904922	-0.3147564617933969	0.6900819690834008	0.9305701151192838	-0.7680568315581748	0.07746385343530071	-0.4140115071510502	0.54715062008254	0.8963606962090105	0.2144893560102754	-0.6187251548016066	0.6774345018976362	-0.7090448023981435	-0.6578698509912189	-0.03951280688129444	0.39414479992254225	workclass=Never-worked
	0.5189358183528563	-0.18883378241507565	-0.7544036635997344	0.6102702067132315	0.6051749442076799	0.5295808083359164	-0.08748872087289006	0.3479707521864688	-0.20101063923137352	0.5463819366160012	-0.05048426594252131	-0.3061491853333689	0.5432700394878709	-0.1741018725394421	0.2834967722885702	-0.9462042831584829	-0.34780734142783487	0.958812746026575	0.0726411360405308	-0.16294307065875668	fnlwgt
	0.5464762427163394	0.7741167572990868	0.7027442042241694	-0.48105689094168436	0.06612408963388994	0.8249994687760931	0.10427053074554449	0.5774117506059475	-0.49021382591252927	0.21018720755985276	-0.3440194296703849	-0.6377793765223496	0.005688098778857675	-0.627314531705613	-0.08154076173742086	-0.6200236836322635	-0.6405375785447458	-0.5842126127173295	-0.9162171347174195	0.37038645404347337	education=Bachelors
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	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	native-country=Mexico
	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	native-country=Portugal
	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	native-country=Ireland
	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	native-country=France
	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	native-country=Dominican-Republic
	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Laos
	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	0.8747734558691722	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	native-country=Ecuador
	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	native-country=Taiwan
	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	native-country=Haiti
	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	native-country=Columbia
	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Hungary
	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	-0.047398643870806945	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	native-country=Guatemala
	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	2.951745036046116E-4	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	native-country=Nicaragua
	0.5129726281612113	0.06349025048739976	0.5631914305925196	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	native-country=Scotland
	0.9864602510169247	0.37097722774123065	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	native-country=Thailand
	0.577743684040319	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Yugoslavia
	-0.5681674543395212	-0.7269192046628774	-0.07743598769246152	0.3120287985496204	0.7195569076385415	-0.8011762806103284	-0.9942071014751512	-0.3085147999033866	-0.8206446515725343	-0.442429445919424	0.5905778989194894	0.8523974466517801	0.6273202791862813	0.39395667076662577	0.9159405726081908	0.0060730691667816306	-0.1586992614330056	0.42343288131790047	0.878060726856009	0.717343514342077	native-country=El-Salvador
	-0.6557056323548642	0.46177764115254116	-0.26844100301283924	0.5575107936532642	-0.8575138396895088	0.9224527266251965	-0.48771394293418013	0.9652265767639219	-0.7272083249302193	-0.47193265306338983	-0.19211565721326163	0.5911852577465999	-0.8277247303804667	0.7593230959858828	-0.20634545878552069	0.36044630202042804	-0.05338305826037071	-0.734098863894858	0.37726460755854685	-0.7967803557721471	native-country=Trinadad&Tobago
	-0.41007292400981976	-0.8913219765326885	-0.1116332297129119	-0.47309183706682933	-0.3069193650922124	-0.19817747534174535	-0.3546820925723657	-0.8762961398236968	-0.3383220643675684	-0.5462465301184716	0.6098662537788784	0.37812408655917196	-0.3855543331753819	0.3380822400984287	-0.31405809809261886	-0.9647772611685919	-0.19940281148987093	-0.7470445226398288	-0.7153923560153337	-0.4364478457037744	native-country=Peru
	0.8198856568000146	-0.41683978667230037	-0.46510688615978024	0.1348037795509085	-0.5417493787482592	-0.5586392623434839	-0.7464632730448837	-0.33162437348095475	-0.7987054720917464	0.9184590416969829	-0.4988543251198394	0.04810686161221289	-0.1270222470624065	-0.5461828341389063	0.772988964486131	0.38926270000308616	0.3110403420100656	0.205577318604395	-0.2963916667140234	-0.09723714469575562	native-country=Hong
	0.785961522329383	0.5147418842712417	-0.513740131113535	0.6700845571799907	-0.31157097764771735	-0.7344053767917833	-0.4295396461396406	-0.38280474999887426	0.0710601984312671	0.4453123406523225	-0.06318463489727111	0.7238513906044952	0.24217444045843095	-0.9802198335018022	-0.6894047795655838	0.3785332367029277	-0.811668831913197	0.4296329873993272	0.9337565803755752	-0.6593034299220795	native-country=Holand-Netherlands
Hidden Weights:
	0.0013568706906714745	0.10131610018004178
	-0.07182668465327624	-0.8398043957329326
	0.4974756697651035	0.4611888888279614
	0.5050126932643677	0.5696605994774508
	-0.23398979790393892	0.5374591676254912
	-0.3769068285628714	0.9660033580009892
	0.4057873537829242	0.6759051199800432
	-0.9270702261628818	-0.7035673163212708
	-0.5420189875705528	-0.6864417385570882
	0.5740708394880458	0.22919141125205544
	0.3003553820546112	-0.5314713133067506
	0.4847070191190699	0.9379576278863897
	0.7620123921523638	0.8116436851239108
	-0.6459586871099645	0.2804085926816948
	0.2597753223491259	-0.6640518096326098
	0.5014892721095932	-0.08221013921222542
	0.12377269280893466	0.18190098423441348
	0.257379416292852	-0.22954370726473572
	0.016213138560460028	-0.24512551957383177
	0.11045829867903834	0.5435604960819871
		>50K		<=50K

Error sum for iteration 100 = 81.53214626160734

Error sum for iteration 200 = 82.87911494675711

Error sum for iteration 300 = 84.57534162369376

Error sum for iteration 400 = 85.30128378246772

Error sum for iteration 500 = 85.19464653001067

Error sum for iteration 600 = 84.8379773946977

Error sum for iteration 700 = 84.35898715347005

Error sum for iteration 800 = 83.85161814065675

Error sum for iteration 900 = 83.41809159750458

Error sum for iteration 1000 = 82.82353807899868

Error sum for iteration 1100 = 81.98139243856417

Error sum for iteration 1200 = 80.92266664530419

Error sum for iteration 1300 = 79.57661617763526

Error sum for iteration 1400 = 77.89640828837787

Error sum for iteration 1500 = 75.90866949102693

Error sum for iteration 1600 = 73.69637332541214

Error sum for iteration 1700 = 71.3927010733208

Error sum for iteration 1800 = 69.11425712697721

Error sum for iteration 1900 = 66.93492969045462

Error sum for iteration 2000 = 64.90781539819143

Error sum for iteration 2100 = 63.03618388844537

Error sum for iteration 2200 = 61.30950847252998

Error sum for iteration 2300 = 59.72609630026981

Error sum for iteration 2400 = 58.25911426949658

Error sum for iteration 2500 = 56.92033370662062

Error sum for iteration 2600 = 55.675793939619595

Error sum for iteration 2700 = 54.52885820284611

Error sum for iteration 2800 = 53.47940643343633

Error sum for iteration 2900 = 52.53113110445271

Error sum for iteration 3000 = 51.65833958284009

Error sum for iteration 3100 = 50.83895116790541

Error sum for iteration 3200 = 50.07023733622945

Error sum for iteration 3300 = 49.34733548831885

Error sum for iteration 3400 = 48.6638849449578

Error sum for iteration 3500 = 48.02080607157866

Error sum for iteration 3600 = 47.41792290637099

Error sum for iteration 3700 = 46.845895111095565

Error sum for iteration 3800 = 46.30796447522092

Error sum for iteration 3900 = 45.80832097696808

Error sum for iteration 4000 = 45.32923767940752

Error sum for iteration 4100 = 44.85968021116003

Error sum for iteration 4200 = 44.407305735028494

Error sum for iteration 4300 = 43.9846033276112

Error sum for iteration 4400 = 43.58324297797107

Error sum for iteration 4500 = 43.198980413139275

Error sum for iteration 4600 = 42.83541185323927

Error sum for iteration 4700 = 42.49701343363667

Error sum for iteration 4800 = 42.17666260402047

Error sum for iteration 4900 = 41.86498229900796

Error sum for iteration 5000 = 41.56237656662757

Error sum for iteration 5100 = 41.26741360618019

Error sum for iteration 5200 = 40.98141182455772

Error sum for iteration 5300 = 40.70451045889852

Error sum for iteration 5400 = 40.434581780797316

Error sum for iteration 5500 = 40.17319804382586

Error sum for iteration 5600 = 39.922221511225246

Error sum for iteration 5700 = 39.68485498280117

Error sum for iteration 5800 = 39.46718228554081

Error sum for iteration 5900 = 39.25529756493574

Error sum for iteration 6000 = 39.04796543354527

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 20
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	20
	-M	0.01
Input Weights:
	-0.8744697943857984	-0.6726365933916276	-0.5160127330256541	-0.06653969293805617	0.8241094605631998	0.8246485538665651	-0.8018297688952734	-0.25468837086196316	0.07994172746772699	-0.16890381435694457	-0.7372841334875018	-0.5436533309002125	-0.5123925957804603	0.22051365201772444	-0.12593620051922017	0.7528251824084147	0.4586753403495596	-0.9250877810840596	0.11948680820462032	-0.7374784322005226	age
	0.24032212530923247	0.09917529323197516	0.7847541233867674	0.6462006857005189	0.6617767514445207	-0.4660730291028021	-0.3416212716541338	0.9795118054847176	-0.14578372754289215	-0.40150695734635056	-0.4956198568992629	0.5685715809792458	-0.5460480977759594	-0.5508521862983151	0.07383453525408035	0.6348399728608749	0.6957230703866273	0.4550640757496618	0.7386582819310099	-0.22128294150543093	workclass=Private
	-0.5034070979544603	-0.7183021104631575	-0.5558593423687861	-0.6332737810119582	-0.14043912245482204	0.0743568105817849	-0.8307045313371517	-0.34193659574958724	0.2332149716122065	0.47409586190743225	-0.19999083299097253	-0.09386629574737237	-0.8895408843051178	0.3307839950949609	-0.21032497395610616	-0.8841564892662879	-0.5074556542356354	0.8600173347982503	0.46930758431317954	0.7113049817803172	workclass=Self-emp-not-inc
	-0.17683555094722148	0.7436026044365662	0.41074097802599074	-0.5487883380163996	-0.05196263013266367	0.05363874453158046	0.7012987608568864	-0.04778598121930111	0.8307271279131394	0.6441235782423655	-0.07518001015489006	0.5124869166359198	-0.8217152231051319	0.1828525532426506	0.011004909946649377	-0.2795716169957263	0.18356801134905054	-0.39768496208124504	-0.7677009075428138	0.6083977984974192	workclass=Self-emp-inc
	0.6681468612325152	-0.9947773292073034	0.06938667330455761	0.3823495732398994	-0.7736048977752752	0.7257508781553363	-0.9780103071214428	0.532753234925377	-0.6586742893573017	-0.09825247522110292	-0.7800223263102457	0.16489959344768468	0.6077707593884694	0.4333416818857816	0.331289477415164	-0.446637112398635	-0.19322267110117264	-0.20747052010902034	-0.5477252183661079	-0.06622785881719007	workclass=Federal-gov
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	0.28208510094013217	0.0448873835470871	0.1582096880167252	0.8377204605830306	-0.34740022376527024	0.690191507666061	-0.6565674209380312	0.15790835715961538	-0.28575649391748903	-0.9771733029314877	-0.22188471375273244	0.4726094815885269	0.12871711845104272	-0.727923021451401	0.8509618731489177	0.25438694378447546	0.44949061651455513	-0.24020742080817747	0.010300024271862052	0.8373653699276671	native-country=Honduras
	-0.8590489913321353	0.7349626740923556	0.6921216197780911	0.33236507201089527	-0.09649468631116265	0.5047064209796168	0.4653859306757593	0.9064147933376614	0.5628829563731086	0.01461188026613014	-0.7673868849972667	-0.9338980622094273	0.9650146265802673	0.6220532922147965	0.5462475383368148	0.5415229709710061	0.9027882245947547	0.07146339107040278	0.8097733055425782	-0.23294501645752885	native-country=Philippines
	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	native-country=Italy
	-0.4747318094776156	-0.7869783822473202	-0.08246430244696068	0.8958335839615781	0.534713852733242	-0.3051895768378101	0.7847068021936716	-0.5478918671323567	0.5936475349415067	0.1555278851398203	-0.6457946590886625	-0.7004428913119396	-0.18529502505441298	-0.553958408119543	0.4226927561075631	0.8247277848514643	0.36001365068058555	-0.25361346191547773	-0.4550486344536466	0.17786686123242723	native-country=Poland
	-0.5503788631461393	0.385438417684838	0.038632448925972396	-0.31238608286662717	0.40615106995825156	0.7168217787088218	0.5893503867558587	-0.9913907689538048	-0.32566544870124803	-0.3428879852187581	-0.6534889536449422	-0.8521360711897212	-0.23892859472788008	0.715519509482512	-0.7546578125794536	-0.924859419919235	-0.5135284891133203	0.00818212150683495	0.42893573616599	0.05803097350320807	native-country=Jamaica
	0.6084239432039245	0.562545677215275	-0.8589426363424337	-0.19241905974632822	0.412220993079079	-0.8246841527917903	-0.2753941119674106	-0.1913922792500753	0.1280666848046672	-0.4741642923305889	-0.8531700106946776	0.6390469427120369	0.04144332703708442	0.7945646090474399	-0.6310738814127665	-0.5413470306025865	-0.942376022381554	0.025304140357324423	0.8739506941425068	-0.7574509753963248	native-country=Vietnam
	-0.8304604480029791	-0.28838786533517125	0.02689802496555438	-0.8400120863780434	-0.1683886034193094	-0.7437624816698061	0.765468205440482	-0.005611359780994585	0.8693201958526247	-0.30762025949835325	-0.652796070776936	-0.2480203485868464	-0.12629427002619997	-0.497704549247622	-0.3996978974558745	-0.7508536838177675	0.7333851046263096	0.3017909545399069	-0.3038149974153128	0.5252665245764432	native-country=Mexico
	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	native-country=Portugal
	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	native-country=Ireland
	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	native-country=France
	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	native-country=Dominican-Republic
	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Laos
	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	0.8747734558691722	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	native-country=Ecuador
	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	native-country=Taiwan
	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	native-country=Haiti
	0.4418404034771415	-0.6519666229474224	0.13170727943293614	-0.8690725946434394	-0.09849053154810683	0.3441814827319982	0.5157444335298536	-0.6497121178379819	-0.18416849661023615	-0.35465655201581914	-0.5954323023381576	-0.8203309241405592	0.9361927429635735	-0.43584873439594096	0.29454340247551913	0.9734166821545231	-0.7324993934453554	-0.3946122458275878	0.4159348311915194	0.41734252893628043	native-country=Columbia
	0.6191963235071041	0.9125104735974741	0.05948768882561928	-0.8228659286568651	-0.4111322753802227	0.16831736442970135	0.0364056954904497	0.4966402801587442	-0.7013736853528787	0.33221795963476475	0.8390216053170625	0.8187362764579202	0.6522276998120229	0.2568043622072307	0.3937622137726562	0.9438935621932576	-0.7489270236990335	0.0468191056893692	0.4787943459294426	0.024360829804140005	native-country=Hungary
	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	-0.047398643870806945	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	native-country=Guatemala
	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	2.951745036046116E-4	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	native-country=Nicaragua
	0.5129726281612113	0.06349025048739976	0.5631914305925196	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	native-country=Scotland
	0.9864602510169247	0.37097722774123065	0.7865189736474831	-0.6137764623852862	0.5424761014072856	0.7324519183487403	0.04299172563646847	-0.9772695156750062	0.3166413748385255	-0.25351761554389407	0.9332597965620939	0.9402207834054459	-0.5549322892925204	-0.18174103458943014	-0.8990116273979545	0.8908191063780533	-0.5850756364993337	0.3241727824864977	-0.3139229736733249	0.9315177563412995	native-country=Thailand
	0.577743684040319	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Yugoslavia
	-0.5681674543395212	-0.7269192046628774	-0.07743598769246152	0.3120287985496204	0.7195569076385415	-0.8011762806103284	-0.9942071014751512	-0.3085147999033866	-0.8206446515725343	-0.442429445919424	0.5905778989194894	0.8523974466517801	0.6273202791862813	0.39395667076662577	0.9159405726081908	0.0060730691667816306	-0.1586992614330056	0.42343288131790047	0.878060726856009	0.717343514342077	native-country=El-Salvador
	-0.6557056323548642	0.46177764115254116	-0.26844100301283924	0.5575107936532642	-0.8575138396895088	0.9224527266251965	-0.48771394293418013	0.9652265767639219	-0.7272083249302193	-0.47193265306338983	-0.19211565721326163	0.5911852577465999	-0.8277247303804667	0.7593230959858828	-0.20634545878552069	0.36044630202042804	-0.05338305826037071	-0.734098863894858	0.37726460755854685	-0.7967803557721471	native-country=Trinadad&Tobago
	-0.41007292400981976	-0.8913219765326885	-0.1116332297129119	-0.47309183706682933	-0.3069193650922124	-0.19817747534174535	-0.3546820925723657	-0.8762961398236968	-0.3383220643675684	-0.5462465301184716	0.6098662537788784	0.37812408655917196	-0.3855543331753819	0.3380822400984287	-0.31405809809261886	-0.9647772611685919	-0.19940281148987093	-0.7470445226398288	-0.7153923560153337	-0.4364478457037744	native-country=Peru
	0.8198856568000146	-0.41683978667230037	-0.46510688615978024	0.1348037795509085	-0.5417493787482592	-0.5586392623434839	-0.7464632730448837	-0.33162437348095475	-0.7987054720917464	0.9184590416969829	-0.4988543251198394	0.04810686161221289	-0.1270222470624065	-0.5461828341389063	0.772988964486131	0.38926270000308616	0.3110403420100656	0.205577318604395	-0.2963916667140234	-0.09723714469575562	native-country=Hong
	0.785961522329383	0.5147418842712417	-0.513740131113535	0.6700845571799907	-0.31157097764771735	-0.7344053767917833	-0.4295396461396406	-0.38280474999887426	0.0710601984312671	0.4453123406523225	-0.06318463489727111	0.7238513906044952	0.24217444045843095	-0.9802198335018022	-0.6894047795655838	0.3785332367029277	-0.811668831913197	0.4296329873993272	0.9337565803755752	-0.6593034299220795	native-country=Holand-Netherlands
Hidden Weights:
	0.0013568706906714745	0.10131610018004178
	-0.07182668465327624	-0.8398043957329326
	0.4974756697651035	0.4611888888279614
	0.5050126932643677	0.5696605994774508
	-0.23398979790393892	0.5374591676254912
	-0.3769068285628714	0.9660033580009892
	0.4057873537829242	0.6759051199800432
	-0.9270702261628818	-0.7035673163212708
	-0.5420189875705528	-0.6864417385570882
	0.5740708394880458	0.22919141125205544
	0.3003553820546112	-0.5314713133067506
	0.4847070191190699	0.9379576278863897
	0.7620123921523638	0.8116436851239108
	-0.6459586871099645	0.2804085926816948
	0.2597753223491259	-0.6640518096326098
	0.5014892721095932	-0.08221013921222542
	0.12377269280893466	0.18190098423441348
	0.257379416292852	-0.22954370726473572
	0.016213138560460028	-0.24512551957383177
	0.11045829867903834	0.5435604960819871
		>50K		<=50K

Error sum for iteration 100 = 79.695660805419

Error sum for iteration 200 = 78.90941944516574

Error sum for iteration 300 = 78.7677427795273

Error sum for iteration 400 = 78.72793610228821

Error sum for iteration 500 = 78.36014214045264

Error sum for iteration 600 = 77.74385963703659

Error sum for iteration 700 = 77.16182873595504

Error sum for iteration 800 = 76.71450491773793

Error sum for iteration 900 = 76.32388018657468

Error sum for iteration 1000 = 75.9272161486039

Error sum for iteration 1100 = 75.61827548304191

Error sum for iteration 1200 = 75.5136384941028

Error sum for iteration 1300 = 75.35088868773025

Error sum for iteration 1400 = 75.12561364441882

Error sum for iteration 1500 = 74.8232876858859

Error sum for iteration 1600 = 74.48561490716166

Error sum for iteration 1700 = 74.15577464077683

Error sum for iteration 1800 = 73.79376500559701

Error sum for iteration 1900 = 73.380728593087

Error sum for iteration 2000 = 72.8768902987361

Error sum for iteration 2100 = 72.29095553404919

Error sum for iteration 2200 = 71.56312698763314

Error sum for iteration 2300 = 70.71581416733208

Error sum for iteration 2400 = 69.75266434311749

Error sum for iteration 2500 = 68.69492924405778

Error sum for iteration 2600 = 67.58124876500605

Error sum for iteration 2700 = 66.44123485970273

Error sum for iteration 2800 = 65.2898235686679

Error sum for iteration 2900 = 64.17120773245279

Error sum for iteration 3000 = 63.07488637631383

Error sum for iteration 3100 = 62.02912284351246

Error sum for iteration 3200 = 61.02771923814638

Error sum for iteration 3300 = 60.07537822468912

Error sum for iteration 3400 = 59.17268796388613

Error sum for iteration 3500 = 58.325825073536556

Error sum for iteration 3600 = 57.516273877130146

Error sum for iteration 3700 = 56.751946096930844

Error sum for iteration 3800 = 56.02524304753267

Error sum for iteration 3900 = 55.32431322588515

Error sum for iteration 4000 = 54.65345098341053

Error sum for iteration 4100 = 54.01906814163539

Error sum for iteration 4200 = 53.409948244680464

Error sum for iteration 4300 = 52.833801333188724

Error sum for iteration 4400 = 52.27171667454943

Error sum for iteration 4500 = 51.7294158068704

Error sum for iteration 4600 = 51.207332932092676

Error sum for iteration 4700 = 50.69363965534056

Error sum for iteration 4800 = 50.192569447751204

Error sum for iteration 4900 = 49.70028360357321

Error sum for iteration 5000 = 49.232706766294655

Error sum for iteration 5100 = 48.77767506521681

Error sum for iteration 5200 = 48.324858068217836

Error sum for iteration 5300 = 47.87908798898068

Error sum for iteration 5400 = 47.43867392163608

Error sum for iteration 5500 = 47.00626426275998

Error sum for iteration 5600 = 46.58190978480913

Error sum for iteration 5700 = 46.176041254314

Error sum for iteration 5800 = 45.777530263147376

Error sum for iteration 5900 = 45.39131048665439

Error sum for iteration 6000 = 45.01736350650141

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 20
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	20
	-M	0.01
Input Weights:
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	0.9112621815612143	0.2674047820307699	0.28180959375008396	-0.932400957909391	-0.3010428000629959	0.47153940012702833	0.3664092070317644	-0.5559432284989232	0.08456455479879987	-0.5251401522484951	0.8704923337358601	-0.2843299929797638	-0.8308596237320496	-0.8087611689733551	0.8982456888965762	-0.7375807321624765	0.1543523233413442	0.37936399159443934	0.04465036157278868	0.5839821344169129	native-country=Italy
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	-0.7443022211746344	0.26715146049929284	0.2583816415733926	0.441750719852013	0.0015060455248581128	0.7643790888083015	-0.2844544138139755	-0.23211791639919865	-0.48055089773466153	-0.8916600822683374	0.9857142964020311	-0.014865220084655073	0.7095984570068707	0.5215832992225964	0.22155670889330392	-0.2168199631584511	0.5712935046516945	0.5842307173210741	0.4075809708858247	0.4492065740670028	native-country=Portugal
	-0.9845832678530919	0.7754869071810953	0.6577128339567022	-0.40357034446035556	0.4593018414367709	-0.5963284406156515	-0.9730133551424232	0.2851132395369551	0.6421737069756175	-0.23367125208920903	0.34492147129741	-0.7358041249763239	0.6675425165459654	-0.9613992109240925	-0.32654173784112706	-0.9192736616172565	0.9290292419084367	-0.18224433686536923	0.16008335972012255	0.9752871570227852	native-country=Ireland
	-0.41362249497159764	-0.6835464641707376	-0.7078265015706615	0.36665982306067435	-0.2779238776715829	0.7683588274093467	-0.9939327125027932	0.4271733880804245	0.14923437720757415	0.037876266670765935	-0.9640781631103359	0.33134138764989385	0.8318295227202894	-0.21229392328836894	0.2765377707454877	-0.7255853197908915	-0.7776195552113079	0.1393243878342214	-0.6494230418543627	0.6355875838942211	native-country=France
	-0.8292735624165428	0.9685268042997626	0.1575696816812342	-0.9437608111907734	-0.4938259781855623	-0.5186075745930079	0.7463905432431017	-0.25548685007536265	-0.9704966825729371	-0.27933964170522096	-0.15024862113800808	-0.8322657047911719	-0.8158117116862551	0.5423429487208784	-0.7898733833718501	0.5162714459725595	-0.9325037124144813	-0.37332207072371726	0.9392099935821476	0.8521856353813813	native-country=Dominican-Republic
	-0.967676405197762	0.3231897126862473	-0.9571982333853053	-0.7174464874440112	-0.2363443945304058	0.5437286101823382	-0.9526217031622894	0.2185207935856639	0.18203712298927655	-0.41258526565398634	-0.5214335506338226	0.1051051095819091	-0.5233011206364651	-0.9831600641565641	0.4013670569932539	0.414369724966015	-0.3918670998165583	-0.010646799613154956	-0.8141924569525587	0.635599229072701	native-country=Laos
	-0.0650731194160914	0.8955784919293519	0.866332910243929	0.25115867951436077	-0.35753542345823663	-0.8266163783662035	0.14524408426168445	-0.33250439608730176	-0.8457304386512803	0.8747734558691722	0.49396753791436887	0.07388865088566776	-0.16871565522917198	-0.19425152640542231	0.5041180334751931	-0.6403322153955309	-0.7728991943769088	-0.16456744464940432	-0.5126175118010394	0.4965900167176467	native-country=Ecuador
	-0.6163659737914318	-0.2992894887101174	-0.4535832080990514	-0.03426674926600959	-0.1758731975058816	-0.03473234901628852	0.04579044306017788	0.7009261943862781	-0.3020005454395218	-0.8830441327522516	0.5192017807828053	0.44382003976685747	0.7974363544701568	0.1579481594692207	0.1931089821186247	0.11265223269788005	-0.8411901371146984	-0.27717713629763585	0.11903207402609706	0.22381192713837228	native-country=Taiwan
	0.5295250729369649	0.8607130398835598	0.049074426147216466	0.6002061750409429	0.8545227110297191	-0.33980183172491674	0.09967310767716397	0.27711350462768713	0.7531658078228447	-0.4300363280174142	0.11622527603109911	-0.6363706017414765	-0.25960260660063295	0.4229720934809402	-0.85608179027577	0.4788739068028338	0.953606223030603	0.7098121241718589	0.9852528186418426	-0.23953867091556824	native-country=Haiti
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	-0.7967727129962043	-0.4481522897714323	-0.4125859384777377	-0.100735992258006	-0.047398643870806945	0.4352404463626014	0.003349403607727508	0.21050293805828968	-0.23250572161458316	-0.01463457274633595	-0.4584106850782359	-0.23541315522455264	0.31199307927865716	-0.1319634878720568	0.5430401249966526	-0.785625448740753	0.08766039897019495	0.8677337296367031	-0.5658968996869185	-0.7594944550189433	native-country=Guatemala
	-0.22207162687243698	-0.6824919750445575	-0.002362454899097033	2.951745036046116E-4	-0.14869200087855905	-0.30259694301061324	-0.6461080759517035	-0.004256195841049193	-0.9671364961191937	-0.4690993777419201	0.13572485942557155	0.3927110578540389	0.7554395829784395	-0.7544554055130603	-0.44666492872741936	0.14033467036799085	-0.053508084542813084	0.6219302363188184	-0.7428915074947406	-0.061385751181973536	native-country=Nicaragua
	0.5129726281612113	0.06349025048739976	0.5631914305925196	-0.42690254887468937	-0.7439134623003132	-0.7109330086225394	0.06874100780749459	-0.26652896364325995	-0.6681949586378608	0.8445304949368129	0.07782047386556878	-0.6169775913453353	0.33213085570842105	0.7655868386820608	-0.47195786789511285	-0.03545037577253174	0.624178950332718	-0.30423638400316877	-0.7710527119861637	0.48264782361127234	native-country=Scotland
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	0.577743684040319	0.39751043190431856	0.44582703973356197	0.6810046211030758	0.7133433469051553	-0.4896330221324361	0.04675189746003805	-0.741610963201037	0.9172177800622849	-0.5838031693317043	-0.7904548240565152	-0.2900131095419767	-0.2736702319830189	-0.08737827330285963	0.9299525266839037	-0.5589968451633271	-0.780943726863077	0.2871488848744368	0.963429984731693	-0.9565984546474595	native-country=Yugoslavia
	-0.5681674543395212	-0.7269192046628774	-0.07743598769246152	0.3120287985496204	0.7195569076385415	-0.8011762806103284	-0.9942071014751512	-0.3085147999033866	-0.8206446515725343	-0.442429445919424	0.5905778989194894	0.8523974466517801	0.6273202791862813	0.39395667076662577	0.9159405726081908	0.0060730691667816306	-0.1586992614330056	0.42343288131790047	0.878060726856009	0.717343514342077	native-country=El-Salvador
	-0.6557056323548642	0.46177764115254116	-0.26844100301283924	0.5575107936532642	-0.8575138396895088	0.9224527266251965	-0.48771394293418013	0.9652265767639219	-0.7272083249302193	-0.47193265306338983	-0.19211565721326163	0.5911852577465999	-0.8277247303804667	0.7593230959858828	-0.20634545878552069	0.36044630202042804	-0.05338305826037071	-0.734098863894858	0.37726460755854685	-0.7967803557721471	native-country=Trinadad&Tobago
	-0.41007292400981976	-0.8913219765326885	-0.1116332297129119	-0.47309183706682933	-0.3069193650922124	-0.19817747534174535	-0.3546820925723657	-0.8762961398236968	-0.3383220643675684	-0.5462465301184716	0.6098662537788784	0.37812408655917196	-0.3855543331753819	0.3380822400984287	-0.31405809809261886	-0.9647772611685919	-0.19940281148987093	-0.7470445226398288	-0.7153923560153337	-0.4364478457037744	native-country=Peru
	0.8198856568000146	-0.41683978667230037	-0.46510688615978024	0.1348037795509085	-0.5417493787482592	-0.5586392623434839	-0.7464632730448837	-0.33162437348095475	-0.7987054720917464	0.9184590416969829	-0.4988543251198394	0.04810686161221289	-0.1270222470624065	-0.5461828341389063	0.772988964486131	0.38926270000308616	0.3110403420100656	0.205577318604395	-0.2963916667140234	-0.09723714469575562	native-country=Hong
	0.785961522329383	0.5147418842712417	-0.513740131113535	0.6700845571799907	-0.31157097764771735	-0.7344053767917833	-0.4295396461396406	-0.38280474999887426	0.0710601984312671	0.4453123406523225	-0.06318463489727111	0.7238513906044952	0.24217444045843095	-0.9802198335018022	-0.6894047795655838	0.3785332367029277	-0.811668831913197	0.4296329873993272	0.9337565803755752	-0.6593034299220795	native-country=Holand-Netherlands
Hidden Weights:
	0.0013568706906714745	0.10131610018004178
	-0.07182668465327624	-0.8398043957329326
	0.4974756697651035	0.4611888888279614
	0.5050126932643677	0.5696605994774508
	-0.23398979790393892	0.5374591676254912
	-0.3769068285628714	0.9660033580009892
	0.4057873537829242	0.6759051199800432
	-0.9270702261628818	-0.7035673163212708
	-0.5420189875705528	-0.6864417385570882
	0.5740708394880458	0.22919141125205544
	0.3003553820546112	-0.5314713133067506
	0.4847070191190699	0.9379576278863897
	0.7620123921523638	0.8116436851239108
	-0.6459586871099645	0.2804085926816948
	0.2597753223491259	-0.6640518096326098
	0.5014892721095932	-0.08221013921222542
	0.12377269280893466	0.18190098423441348
	0.257379416292852	-0.22954370726473572
	0.016213138560460028	-0.24512551957383177
	0.11045829867903834	0.5435604960819871
		>50K		<=50K

Error sum for iteration 100 = 81.17005779542689

Error sum for iteration 200 = 81.33831201783568

Error sum for iteration 300 = 81.45116164397625

Error sum for iteration 400 = 82.90437151624216

Error sum for iteration 500 = 84.68451944354837

Error sum for iteration 600 = 86.47974629138832

Error sum for iteration 700 = 88.01015666948996

Error sum for iteration 800 = 89.13271539394022

Error sum for iteration 900 = 89.77367575087003

Error sum for iteration 1000 = 89.95939349922406

Error sum for iteration 1100 = 89.76625652315212

Error sum for iteration 1200 = 89.3215665879173

Error sum for iteration 1300 = 88.71573082082307

Error sum for iteration 1400 = 87.97635573919067

Error sum for iteration 1500 = 87.06952132809045

Error sum for iteration 1600 = 86.00367253360113

Error sum for iteration 1700 = 84.82583335343773

Error sum for iteration 1800 = 83.56612535285743

Error sum for iteration 1900 = 82.24728141612097

Error sum for iteration 2000 = 80.92500716736983

Error sum for iteration 2100 = 79.66163834948635

Error sum for iteration 2200 = 78.4903183572012

Error sum for iteration 2300 = 77.33958885940088

Error sum for iteration 2400 = 76.22692340212109

Error sum for iteration 2500 = 75.11919576242784

Error sum for iteration 2600 = 74.0249366303365

Error sum for iteration 2700 = 72.95233415752502

Error sum for iteration 2800 = 71.92698384252571

Error sum for iteration 2900 = 70.9220409937303

Error sum for iteration 3000 = 69.95596666766855

Error sum for iteration 3100 = 69.01603531537972

Error sum for iteration 3200 = 68.11762283928344

Error sum for iteration 3300 = 67.26980128615197

Error sum for iteration 3400 = 66.45872313538659

Error sum for iteration 3500 = 65.67201093944128

Error sum for iteration 3600 = 64.91720461594734

Error sum for iteration 3700 = 64.21622785266997

Error sum for iteration 3800 = 63.59282489345592

Error sum for iteration 3900 = 63.015537596170624

Error sum for iteration 4000 = 62.483230243352224

Error sum for iteration 4100 = 61.99301232549655

Error sum for iteration 4200 = 61.54024430881517

Error sum for iteration 4300 = 61.10558994715039

Error sum for iteration 4400 = 60.71141996165385

Error sum for iteration 4500 = 60.345522561227014

Error sum for iteration 4600 = 59.98855817486177

Error sum for iteration 4700 = 59.64004790569203

Error sum for iteration 4800 = 59.293270528526946

Error sum for iteration 4900 = 58.94975495237779

Error sum for iteration 5000 = 58.618066386935844

Error sum for iteration 5100 = 58.30978745552009

Error sum for iteration 5200 = 58.01218165612306

Error sum for iteration 5300 = 57.73135631603022

Error sum for iteration 5400 = 57.49845493423725

Error sum for iteration 5500 = 57.29543622889846

Error sum for iteration 5600 = 57.108446386979615

Error sum for iteration 5700 = 56.95013545990994

Error sum for iteration 5800 = 56.823792604449

Error sum for iteration 5900 = 56.706532018427495

Error sum for iteration 6000 = 56.576858125576614

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 20
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	20
	-M	0.01
Input Weights:
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	0.785961522329383	0.5147418842712417	-0.513740131113535	0.6700845571799907	-0.31157097764771735	-0.7344053767917833	-0.4295396461396406	-0.38280474999887426	0.0710601984312671	0.4453123406523225	-0.06318463489727111	0.7238513906044952	0.24217444045843095	-0.9802198335018022	-0.6894047795655838	0.3785332367029277	-0.811668831913197	0.4296329873993272	0.9337565803755752	-0.6593034299220795	native-country=Holand-Netherlands
Hidden Weights:
	0.0013568706906714745	0.10131610018004178
	-0.07182668465327624	-0.8398043957329326
	0.4974756697651035	0.4611888888279614
	0.5050126932643677	0.5696605994774508
	-0.23398979790393892	0.5374591676254912
	-0.3769068285628714	0.9660033580009892
	0.4057873537829242	0.6759051199800432
	-0.9270702261628818	-0.7035673163212708
	-0.5420189875705528	-0.6864417385570882
	0.5740708394880458	0.22919141125205544
	0.3003553820546112	-0.5314713133067506
	0.4847070191190699	0.9379576278863897
	0.7620123921523638	0.8116436851239108
	-0.6459586871099645	0.2804085926816948
	0.2597753223491259	-0.6640518096326098
	0.5014892721095932	-0.08221013921222542
	0.12377269280893466	0.18190098423441348
	0.257379416292852	-0.22954370726473572
	0.016213138560460028	-0.24512551957383177
	0.11045829867903834	0.5435604960819871
		>50K		<=50K

Error sum for iteration 100 = 84.68189117179453

Error sum for iteration 200 = 86.87782428607922

Error sum for iteration 300 = 88.67021974494872

Error sum for iteration 400 = 90.04364599486709

Error sum for iteration 500 = 90.96236163763771

Error sum for iteration 600 = 91.51950956043741

Error sum for iteration 700 = 91.89806587290158

Error sum for iteration 800 = 92.47480243056935

Error sum for iteration 900 = 92.79585196973576

Error sum for iteration 1000 = 92.79244733714546

Error sum for iteration 1100 = 92.5008513099989

Error sum for iteration 1200 = 91.86020996441862

Error sum for iteration 1300 = 90.9081773016284

Error sum for iteration 1400 = 89.72265315163067

Error sum for iteration 1500 = 88.39145268130335

Error sum for iteration 1600 = 86.9559714626235

Error sum for iteration 1700 = 85.44252463679499

Error sum for iteration 1800 = 83.85694870128262

Error sum for iteration 1900 = 82.1032356801794

Error sum for iteration 2000 = 80.20744863960277

Error sum for iteration 2100 = 78.22031702834795

Error sum for iteration 2200 = 76.24066671539272

Error sum for iteration 2300 = 74.31546734095495

Error sum for iteration 2400 = 72.4770066145093

Error sum for iteration 2500 = 70.735761037817

Error sum for iteration 2600 = 69.10596699994029

Error sum for iteration 2700 = 67.59164378881017

Error sum for iteration 2800 = 66.17200054106206

Error sum for iteration 2900 = 64.86304137759497

Error sum for iteration 3000 = 63.65365562598224

Error sum for iteration 3100 = 62.536547289988995

Error sum for iteration 3200 = 61.507488836279116

Error sum for iteration 3300 = 60.5643310462627

Error sum for iteration 3400 = 59.70117378619878

Error sum for iteration 3500 = 58.910290790391514

Error sum for iteration 3600 = 58.202014826889524

Error sum for iteration 3700 = 57.56807556796854

Error sum for iteration 3800 = 56.99190858101306

Error sum for iteration 3900 = 56.47439448671863

Error sum for iteration 4000 = 56.01280494844359

Error sum for iteration 4100 = 55.59041383937164

Error sum for iteration 4200 = 55.208052620933245

Error sum for iteration 4300 = 54.895829539359866

Error sum for iteration 4400 = 54.626428222680666

Error sum for iteration 4500 = 54.38814934209204

Error sum for iteration 4600 = 54.183780805717795

Error sum for iteration 4700 = 54.00278261094994

Error sum for iteration 4800 = 53.85532496837793

Error sum for iteration 4900 = 53.734082339633304

Error sum for iteration 5000 = 53.634698227566396

Error sum for iteration 5100 = 53.5695041178727

Error sum for iteration 5200 = 53.534580085100394

Error sum for iteration 5300 = 53.542582751990196

Error sum for iteration 5400 = 53.58601079392007

Error sum for iteration 5500 = 53.66347782195206

Error sum for iteration 5600 = 53.791701222061576

Error sum for iteration 5700 = 53.94853236628438

Error sum for iteration 5800 = 54.09520314670904

Error sum for iteration 5900 = 54.19414602436163

Error sum for iteration 6000 = 54.219117503817145

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	0.9029039541416137	age
	-0.6892086919968345	workclass=Private
	-0.9927062271272413	workclass=Self-emp-not-inc
	2.6205607306684087E-4	workclass=Self-emp-inc
	0.8446475096743951	workclass=Federal-gov
	-0.2844606759414141	workclass=Local-gov
	0.8373759309664404	workclass=State-gov
	0.9846147521377846	workclass=Without-pay
	-0.18436848993945265	workclass=Never-worked
	0.1289895484894179	fnlwgt
	-0.6726365933916276	education=Bachelors
	-0.06653969293805617	education=Some-college
	0.8246485538665651	education=11th
	-0.25468837086196316	education=HS-grad
	-0.16890381435694457	education=Prof-school
	-0.5436533309002125	education=Assoc-acdm
	0.22051365201772444	education=Assoc-voc
	0.7528251824084147	education=9th
	-0.9250877810840596	education=7th-8th
	-0.7374784322005226	education=12th
	0.24032212530923247	education=Masters
	0.7847541233867674	education=1st-4th
	0.6617767514445207	education=10th
	-0.3416212716541338	education=Doctorate
	-0.14578372754289215	education=5th-6th
	-0.4956198568992629	education=Preschool
	-0.5460480977759594	education-num
	0.07383453525408035	marital-status=Married-civ-spouse
	0.6957230703866273	marital-status=Divorced
	0.7386582819310099	marital-status=Never-married
	0.8732685514746852	marital-status=Separated
	-0.7183021104631575	marital-status=Widowed
	-0.6332737810119582	marital-status=Married-spouse-absent
	0.0743568105817849	marital-status=Married-AF-spouse
	-0.34193659574958724	occupation=Tech-support
	0.47409586190743225	occupation=Craft-repair
	-0.09386629574737237	occupation=Other-service
	0.3307839950949609	occupation=Sales
	-0.8841564892662879	occupation=Exec-managerial
	0.8600173347982503	occupation=Prof-specialty
	0.7113049817803172	occupation=Handlers-cleaners
	-0.17683555094722148	occupation=Machine-op-inspct
	0.41074097802599074	occupation=Adm-clerical
	-0.05196263013266367	occupation=Farming-fishing
	0.7012987608568864	occupation=Transport-moving
	0.8307271279131394	occupation=Priv-house-serv
	-0.07518001015489006	occupation=Protective-serv
	-0.8217152231051319	occupation=Armed-Forces
	0.011004909946649377	relationship=Wife
	0.18356801134905054	relationship=Own-child
	-0.7677009075428138	relationship=Husband
	0.06771536742225126	relationship=Not-in-family
	-0.9947773292073034	relationship=Other-relative
	0.3823495732398994	relationship=Unmarried
	0.7257508781553363	race=White
	0.532753234925377	race=Asian-Pac-Islander
	-0.09825247522110292	race=Amer-Indian-Eskimo
	0.16489959344768468	race=Other
	0.4333416818857816	race=Black
	-0.446637112398635	sex
	-0.20747052010902034	capital-gain
	-0.06622785881719007	capital-loss
	0.06617394387462605	hours-per-week
	0.8426144116475942	native-country=United-States
	0.3519649878204687	native-country=Cambodia
	-0.041167475866655145	native-country=England
	0.8347936601406298	native-country=Puerto-Rico
	0.6858042675949227	native-country=Canada
	0.0213852744499492	native-country=Germany
	-0.23107035589003333	native-country=Outlying-US(Guam-USVI-etc)
	0.07392505220665302	native-country=India
	-0.3868056106877811	native-country=Japan
	0.9588034273738868	native-country=Greece
	-0.35328252112531566	native-country=South
	0.2144955484473423	native-country=China
	0.07043196472668356	native-country=Cuba
	-0.4570171700216168	native-country=Iran
	-0.35931148004205404	native-country=Honduras
	0.14201331269386586	native-country=Philippines
	0.7507120463364467	native-country=Italy
	-0.2791107887717159	native-country=Poland
	0.008481705696100406	native-country=Jamaica
	-0.5196402282166648	native-country=Vietnam
	0.7527463689377216	native-country=Mexico
	0.9875892136094078	native-country=Portugal
	-0.4944728720491516	native-country=Ireland
	0.8400594521795282	native-country=France
	-0.7714002671185514	native-country=Dominican-Republic
	-0.7123424453407838	native-country=Laos
	0.4330902752600698	native-country=Ecuador
	-0.4299097818975197	native-country=Taiwan
	0.685457702810746	native-country=Haiti
	-0.3728444495767562	native-country=Columbia
	-0.14022174520556052	native-country=Hungary
	-0.9477041214331456	native-country=Guatemala
	0.6053867268743627	native-country=Nicaragua
	-0.3147564617933969	native-country=Scotland
	0.9305701151192838	native-country=Thailand
	0.07746385343530071	native-country=Yugoslavia
	0.54715062008254	native-country=El-Salvador
	0.2144893560102754	native-country=Trinadad&Tobago
	0.6774345018976362	native-country=Peru
	-0.6578698509912189	native-country=Hong
	0.39414479992254225	native-country=Holand-Netherlands
Hidden Weights:
	0.6102702067132315	0.6051749442076799
		>50K		<=50K

Error sum for iteration 100 = 64.62963270584144

Error sum for iteration 200 = 62.55017677256663

Error sum for iteration 300 = 62.619922480348194

Error sum for iteration 400 = 63.537312236207846

Error sum for iteration 500 = 64.57549694682058

Error sum for iteration 600 = 65.17719311557956

Error sum for iteration 700 = 65.37281791340087

Error sum for iteration 800 = 65.29117349758958

Error sum for iteration 900 = 65.01997860471046

Error sum for iteration 1000 = 64.63050748019914

Error sum for iteration 1100 = 64.19353023759247

Error sum for iteration 1200 = 63.7338743201475

Error sum for iteration 1300 = 63.278334101806315

Error sum for iteration 1400 = 62.84001948899471

Error sum for iteration 1500 = 62.425397543241296

Error sum for iteration 1600 = 62.032566033439146

Error sum for iteration 1700 = 61.664327511773756

Error sum for iteration 1800 = 61.31817463324069

Error sum for iteration 1900 = 60.992284682409235

Error sum for iteration 2000 = 60.68544229580938

Error sum for iteration 2100 = 60.39671693308219

Error sum for iteration 2200 = 60.125053800538076

Error sum for iteration 2300 = 59.869280751607626

Error sum for iteration 2400 = 59.62901031441523

Error sum for iteration 2500 = 59.402497938132264

Error sum for iteration 2600 = 59.18870083209786

Error sum for iteration 2700 = 58.98669335916689

Error sum for iteration 2800 = 58.79605395535702

Error sum for iteration 2900 = 58.615821452982416

Error sum for iteration 3000 = 58.44521293389377

Error sum for iteration 3100 = 58.28404929124488

Error sum for iteration 3200 = 58.132156401494356

Error sum for iteration 3300 = 57.988119838880856

Error sum for iteration 3400 = 57.851807076847116

Error sum for iteration 3500 = 57.7224626151828

Error sum for iteration 3600 = 57.599698585527975

Error sum for iteration 3700 = 57.48327981574193

Error sum for iteration 3800 = 57.372977286834264

Error sum for iteration 3900 = 57.26778751507174

Error sum for iteration 4000 = 57.167846970483616

Error sum for iteration 4100 = 57.07301505790553

Error sum for iteration 4200 = 56.98199697121417

Error sum for iteration 4300 = 56.89446982145874

Error sum for iteration 4400 = 56.810185297363965

Error sum for iteration 4500 = 56.7287634578413

Error sum for iteration 4600 = 56.649952761601945

Error sum for iteration 4700 = 56.57348289438341

Error sum for iteration 4800 = 56.49919240122638

Error sum for iteration 4900 = 56.42693399758994

Error sum for iteration 5000 = 56.35657353386791

Error sum for iteration 5100 = 56.28798898795892

Error sum for iteration 5200 = 56.221069491106284

Error sum for iteration 5300 = 56.15571439222158

Error sum for iteration 5400 = 56.0918323654555

Error sum for iteration 5500 = 56.029340564964095

Error sum for iteration 5600 = 55.96839964470751

Error sum for iteration 5700 = 55.908990571981796

Error sum for iteration 5800 = 55.850741907896804

Error sum for iteration 5900 = 55.793598673536195

Error sum for iteration 6000 = 55.737510821055615


Options: -X 4 -W BackPropagation -P "H 1 20 20" 

Cross-validated Parameter selection.
Classifier: BackPropagation
Cross-validation Parameter: '-H' ranged from 1.0 to 20.0 with 20.0 steps
Classifier Options: -H 1 -I 6000 -E 0.0112 -S 1776252155 -M 0.01

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 1
Number Output Nodes: 2
	-I	6000
	-E	0.0112
	-S	1776252155
	-H	1
	-M	0.01
Input Weights:
	-1.021467658633516	age
	0.6348393882876332	workclass=Private
	1.9650292883278062	workclass=Self-emp-not-inc
	-0.4645337360818084	workclass=Self-emp-inc
	-1.2931139412749186	workclass=Federal-gov
	0.289797791715017	workclass=Local-gov
	0.6666805169050263	workclass=State-gov
	1.1333854240113501	workclass=Without-pay
	-0.03559781806584903	workclass=Never-worked
	0.34441652872875517	fnlwgt
	0.3655504848879276	education=Bachelors
	0.2930616739752882	education=Some-college
	3.3615333801395564	education=11th
	0.30581863771985385	education=HS-grad
	-3.7262498945547837	education=Prof-school
	0.27281705198570927	education=Assoc-acdm
	-0.4328609891968672	education=Assoc-voc
	2.09007342927765	education=9th
	-1.2550243830857626	education=7th-8th
	-4.252459559796503	education=12th
	1.2531915057415846	education=Masters
	1.791954186368448	education=1st-4th
	1.8757335932768715	education=10th
	-1.1156903375789637	education=Doctorate
	2.1639944959018127	education=5th-6th
	-0.28811963349090797	education=Preschool
	-3.490082310615821	education-num
	-3.2770572650716767	marital-status=Married-civ-spouse
	0.3072579357478603	marital-status=Divorced
	1.1736896635561669	marital-status=Never-married
	1.2343147233636347	marital-status=Separated
	2.621223635439771	marital-status=Widowed
	0.9944816007170166	marital-status=Married-spouse-absent
	0.2819151425037937	marital-status=Married-AF-spouse
	0.11420781175460772	occupation=Tech-support
	0.05920547565592866	occupation=Craft-repair
	-0.0028358132996668638	occupation=Other-service
	0.5726457493174406	occupation=Sales
	-0.8778434972853618	occupation=Exec-managerial
	0.2501311881978675	occupation=Prof-specialty
	2.223381009954544	occupation=Handlers-cleaners
	-0.11148789520008971	occupation=Machine-op-inspct
	0.3935727919281811	occupation=Adm-clerical
	0.29237800585161317	occupation=Farming-fishing
	2.5450755974246193	occupation=Transport-moving
	0.9794977997867307	occupation=Priv-house-serv
	-0.6503781822222068	occupation=Protective-serv
	-0.6412790153712412	occupation=Armed-Forces
	0.39540173900948505	relationship=Wife
	2.325431123152388	relationship=Own-child
	-0.5917557874766589	relationship=Husband
	-1.7576126308820441	relationship=Not-in-family
	-0.5793066330164416	relationship=Other-relative
	1.1727912206512536	relationship=Unmarried
	-0.12760890423104976	race=White
	-0.14428196038719648	race=Asian-Pac-Islander
	1.610793189337926	race=Amer-Indian-Eskimo
	2.2776610439802605	race=Other
	0.0759482788500451	race=Black
	1.0148637109441576	sex
	-0.7413582485578415	capital-gain
	-3.9923122524690706	capital-loss
	-0.5302817516274568	hours-per-week
	0.36909937633755424	native-country=United-States
	-3.566825362305939	native-country=Cambodia
	0.7908180421249816	native-country=England
	2.9700353340967296	native-country=Puerto-Rico
	-1.441731183786651	native-country=Canada
	0.47567430262553934	native-country=Germany
	-0.08229968401642632	native-country=Outlying-US(Guam-USVI-etc)
	-1.385401810787827	native-country=India
	-0.23803493881420107	native-country=Japan
	1.1075740992474699	native-country=Greece
	-1.4709817234557883	native-country=South
	0.3632662203209294	native-country=China
	2.9587298436862515	native-country=Cuba
	-0.0670822888332386	native-country=Iran
	-0.3264106687793942	native-country=Honduras
	1.1592119230593985	native-country=Philippines
	0.901985718429145	native-country=Italy
	2.335830997995445	native-country=Poland
	0.16441046778453536	native-country=Jamaica
	-0.3708695563430762	native-country=Vietnam
	-1.3638583706138097	native-country=Mexico
	2.392412917592829	native-country=Portugal
	-0.3457022001755638	native-country=Ireland
	0.9975697388788671	native-country=France
	-0.6088975842054539	native-country=Dominican-Republic
	1.5497560013306317	native-country=Laos
	2.191055688506849	native-country=Ecuador
	-0.9028582123000259	native-country=Taiwan
	0.836899581892069	native-country=Haiti
	0.24631027524186105	native-country=Columbia
	0.008548926668035249	native-country=Hungary
	-0.7989334495595544	native-country=Guatemala
	0.754157398747954	native-country=Nicaragua
	-0.1659857899198265	native-country=Scotland
	0.33515082194457746	native-country=Thailand
	0.2262345253088739	native-country=Yugoslavia
	0.6997030687960567	native-country=El-Salvador
	0.3632600278838622	native-country=Trinadad&Tobago
	0.8262051737712275	native-country=Peru
	-0.5090991791176276	native-country=Hong
	0.5429154717961195	native-country=Holand-Netherlands
Hidden Weights:
	-6.098145541925234	6.098145541982716
		>50K		<=50K



=== Error on training data ===

Correctly Classified Instances         455               88.3495 %
Incorrectly Classified Instances        60               11.6505 %
Mean absolute error                      0.1165
Root mean squared error                  0.3413
Relative absolute error                 33.7383 %
Root relative squared error             82.2154 %
Total Number of Instances              515     


=== Confusion Matrix ===

   a   b   <-- classified as
  68  46 |   a = >50K
  14 387 |   b = <=50K


=== Error on test data ===

Correctly Classified Instances       13185               80.984  %
Incorrectly Classified Instances      3096               19.016  %
Mean absolute error                      0.1902
Root mean squared error                  0.4361
Relative absolute error                 53.7826 %
Root relative squared error            102.6088 %
Total Number of Instances            16281     


=== Confusion Matrix ===

     a     b   <-- classified as
  1705  2141 |     a = >50K
   955 11480 |     b = <=50K
by: Keith A. Pray
Last Modified: July 4, 2004 9:05 AM