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 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 = 56.449123808655166 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 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-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 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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 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-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 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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 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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 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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 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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: 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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 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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 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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 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-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 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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 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-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 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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 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-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 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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 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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 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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 = 60.07514999061927 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: 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 0.7741167572990868 0.7027442042241694 -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 marital-status=Divorced 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 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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 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-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 -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 0.7741167572990868 0.7027442042241694 -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 marital-status=Divorced 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 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-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 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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 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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: -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 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-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 = 56.64523574908036 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 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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 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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 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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 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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 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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 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0.5432700394878709 -0.1741018725394421 0.2834967722885702 -0.9462042831584829 -0.34780734142783487 0.958812746026575 0.0726411360405308 education=1st-4th -0.1557581281230791 0.5464762427163394 0.7741167572990868 0.7027442042241694 -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 education=10th 0.21018720755985276 -0.3440194296703849 -0.6377793765223496 0.005688098778857675 -0.627314531705613 -0.08154076173742086 -0.6200236836322635 -0.6405375785447458 -0.5842126127173295 education=Doctorate 0.37038645404347337 0.9935012561887073 0.35331338664578227 -0.2607596136755561 0.4984903704149566 0.11629925834662957 -0.716784350655856 -0.6021815284471295 0.9721157125489632 education=5th-6th 0.7914926659435082 0.8060090688259678 -0.7754849979767311 -0.8199239477244289 -0.3624990425363299 0.17426478820797997 -0.04747369577170679 0.8318864706475808 0.8283906631568214 education=Preschool 0.7634928476087881 0.8827741425273947 0.5595325042991308 0.2943367935608967 0.959566799329884 0.45887707398738775 -0.8205550202122407 -0.2393111057892836 0.07591390176300705 education-num 0.3318700429233439 -0.4712154222806484 -0.8102748237259205 -0.3753133120683161 0.7342874215733786 -0.3434323378041848 0.7298333707679361 -0.3145876125032381 0.671297318176336 marital-status=Married-civ-spouse -0.45787810236344195 -0.09393967021424166 0.21294254467795404 0.3810690633751752 -0.6961949664419445 -0.6599898018854795 0.4121813494669462 0.7987563310342116 0.030048731289127106 marital-status=Divorced 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 -0.15834221691044914 -0.8826351534036512 marital-status=Never-married -0.3383842848866967 0.36676695362872547 0.09199800946014003 -0.12812128460495287 -0.8796244057631433 0.2587298813402168 0.6100231875717759 -0.2515056655993886 -0.7314870786462027 marital-status=Separated -0.46965793778935394 -0.19368225926117932 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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 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-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 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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 0.7507120463364467 -0.06141390435721328 -0.2791107887717159 0.6155516989628087 0.008481705696100406 -0.8130868684615102 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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 -0.1557581281230791 0.5464762427163394 0.7741167572990868 0.7027442042241694 -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 education=10th 0.21018720755985276 -0.3440194296703849 -0.6377793765223496 0.005688098778857675 -0.627314531705613 -0.08154076173742086 -0.6200236836322635 -0.6405375785447458 -0.5842126127173295 education=Doctorate 0.37038645404347337 0.9935012561887073 0.35331338664578227 -0.2607596136755561 0.4984903704149566 0.11629925834662957 -0.716784350655856 -0.6021815284471295 0.9721157125489632 education=5th-6th 0.7914926659435082 0.8060090688259678 -0.7754849979767311 -0.8199239477244289 -0.3624990425363299 0.17426478820797997 -0.04747369577170679 0.8318864706475808 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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 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-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 0.7298333707679361 -0.3145876125032381 0.671297318176336 -0.7070769202740039 -0.45787810236344195 -0.09393967021424166 0.21294254467795404 0.3810690633751752 -0.6961949664419445 -0.6599898018854795 education=Preschool 0.7987563310342116 0.030048731289127106 0.5840656262926034 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 education-num -0.8826351534036512 -0.7044925490055418 -0.3383842848866967 0.36676695362872547 0.09199800946014003 -0.12812128460495287 -0.8796244057631433 0.2587298813402168 0.6100231875717759 -0.2515056655993886 marital-status=Married-civ-spouse 0.6558060728661492 -0.46965793778935394 -0.19368225926117932 0.909566023324327 -0.043788621156186425 -0.5084055327325421 -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 -0.4836761987068492 marital-status=Divorced 0.4580697097819457 -0.7592234023114612 -0.5689759423798064 -0.06268335466747144 -0.2939284262539452 -0.6317487818561391 -0.014813505529722715 -0.5350786708841426 0.7681167038511707 -0.8982737305338044 marital-status=Never-married -0.5294362088347506 -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 0.48734104678219414 0.6287556352557706 -0.8439039830364472 marital-status=Separated -0.09393797248975155 0.6983640416471244 -0.12443571812744825 -0.8178871821872982 0.5706033975283389 0.6635075575906735 -0.8938792692993409 -0.09596330219563964 -0.9163526132756332 0.8539305315207684 marital-status=Widowed -0.2731135703967016 -0.5474016073336645 -0.476411893266685 0.8684571125732048 0.04699859177507859 0.014735881629157621 0.2585955088866527 0.6074316423894139 0.0826908804677371 -0.8167456993817261 marital-status=Married-spouse-absent 0.8089609525299581 0.6901923401815571 -0.2237869674608679 0.8111244800666824 -0.7848555868700562 0.5406059977294908 -0.5029380719271697 -0.12744945655792206 -0.2644816127896088 0.8022523561390085 marital-status=Married-AF-spouse -0.614532418484848 0.5985097285208609 0.6387568034921116 -0.5585588320469588 -0.97348591607918 -0.04716559366509587 0.8117613401417878 0.035690157518592835 0.41989555522131616 0.021686146344013002 occupation=Tech-support -0.5558056384214014 -0.3041174976309826 0.3754491780654585 0.7952327558684493 -0.6213992120483436 0.3485432749220536 0.6640615106242982 0.6432126984953352 0.734109088760442 -0.8701675232547763 occupation=Craft-repair -0.5569524920988693 0.43644252574578 -0.8980772178573757 0.48760242109777585 -0.21150650076288002 -0.47122711219329516 -0.833067346727385 0.44210006521376566 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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: 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 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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 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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 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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 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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 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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 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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 0.7298333707679361 -0.3145876125032381 0.671297318176336 -0.7070769202740039 -0.45787810236344195 -0.09393967021424166 0.21294254467795404 0.3810690633751752 -0.6961949664419445 -0.6599898018854795 education=Preschool 0.7987563310342116 0.030048731289127106 0.5840656262926034 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 education-num -0.8826351534036512 -0.7044925490055418 -0.3383842848866967 0.36676695362872547 0.09199800946014003 -0.12812128460495287 -0.8796244057631433 0.2587298813402168 0.6100231875717759 -0.2515056655993886 marital-status=Married-civ-spouse 0.6558060728661492 -0.46965793778935394 -0.19368225926117932 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0.0826908804677371 -0.8167456993817261 marital-status=Married-spouse-absent 0.8089609525299581 0.6901923401815571 -0.2237869674608679 0.8111244800666824 -0.7848555868700562 0.5406059977294908 -0.5029380719271697 -0.12744945655792206 -0.2644816127896088 0.8022523561390085 marital-status=Married-AF-spouse -0.614532418484848 0.5985097285208609 0.6387568034921116 -0.5585588320469588 -0.97348591607918 -0.04716559366509587 0.8117613401417878 0.035690157518592835 0.41989555522131616 0.021686146344013002 occupation=Tech-support -0.5558056384214014 -0.3041174976309826 0.3754491780654585 0.7952327558684493 -0.6213992120483436 0.3485432749220536 0.6640615106242982 0.6432126984953352 0.734109088760442 -0.8701675232547763 occupation=Craft-repair -0.5569524920988693 0.43644252574578 -0.8980772178573757 0.48760242109777585 -0.21150650076288002 -0.47122711219329516 -0.833067346727385 0.44210006521376566 -0.09509284150577191 -0.6104707155778142 occupation=Other-service -0.8024121116434562 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-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 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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: -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 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-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 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-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 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-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 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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 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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 -0.8205550202122407 -0.2393111057892836 0.07591390176300705 -0.8052521267087358 0.3318700429233439 -0.4712154222806484 -0.8102748237259205 -0.3753133120683161 0.7342874215733786 -0.3434323378041848 0.7298333707679361 education=10th 0.671297318176336 -0.7070769202740039 -0.45787810236344195 -0.09393967021424166 0.21294254467795404 0.3810690633751752 -0.6961949664419445 -0.6599898018854795 0.4121813494669462 0.7987563310342116 0.030048731289127106 education=Doctorate 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 -0.15834221691044914 -0.8826351534036512 -0.7044925490055418 -0.3383842848866967 education=5th-6th 0.09199800946014003 -0.12812128460495287 -0.8796244057631433 0.2587298813402168 0.6100231875717759 -0.2515056655993886 -0.7314870786462027 0.6558060728661492 -0.46965793778935394 -0.19368225926117932 0.909566023324327 education=Preschool -0.5084055327325421 -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 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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 = 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 0.6077707593884694 0.4333416818857816 0.331289477415164 -0.446637112398635 -0.19322267110117264 -0.20747052010902034 -0.5477252183661079 -0.06622785881719007 0.7705863787543941 0.06617394387462605 0.5765364599401037 0.8426144116475942 workclass=Never-worked 0.3519649878204687 -0.2962639879621649 -0.041167475866655145 0.5613361148008718 0.8347936601406298 0.25224175993986075 0.6858042675949227 -0.3916223148526381 0.0213852744499492 -0.7694858883997258 -0.23107035589003333 -0.5448980572453885 fnlwgt -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 -0.35931148004205404 -0.838739819488086 0.14201331269386586 -0.29398326067801017 0.7507120463364467 -0.06141390435721328 -0.2791107887717159 0.6155516989628087 0.008481705696100406 -0.8130868684615102 -0.5196402282166648 0.577875038480153 education=Some-college -0.4589998243104756 0.9875892136094078 -0.6096942695908425 -0.4944728720491516 -0.6040384473956397 0.8400594521795282 -0.5761716128794636 -0.7714002671185514 -0.6920777660881428 -0.7123424453407838 -0.6379821625470092 0.4330902752600698 education=11th -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=HS-grad 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=Prof-school 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=Assoc-acdm -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=Assoc-voc -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 -0.49021382591252927 0.21018720755985276 -0.3440194296703849 -0.6377793765223496 0.005688098778857675 -0.627314531705613 -0.08154076173742086 education=9th -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 0.2943367935608967 0.959566799329884 0.45887707398738775 -0.8205550202122407 -0.2393111057892836 0.07591390176300705 -0.8052521267087358 0.3318700429233439 -0.4712154222806484 -0.8102748237259205 -0.3753133120683161 0.7342874215733786 education=Masters 0.7298333707679361 -0.3145876125032381 0.671297318176336 -0.7070769202740039 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0.5114481297202944 -0.4819883418011166 0.38053684053393066 -0.4610801173923722 0.8269490271461626 native-country=Thailand 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 0.8332247751906989 -0.13633825503700114 0.5446610593500281 -0.705354289554833 0.7888560318604056 0.26117251322002644 -0.5293951985568284 0.7518309832185717 0.20834995936148726 -0.04836604252978671 -0.31182428746874025 0.41378607331930106 native-country=El-Salvador 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 = 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 0.6077707593884694 0.4333416818857816 0.331289477415164 -0.446637112398635 -0.19322267110117264 -0.20747052010902034 -0.5477252183661079 -0.06622785881719007 0.7705863787543941 0.06617394387462605 0.5765364599401037 0.8426144116475942 workclass=Never-worked 0.3519649878204687 -0.2962639879621649 -0.041167475866655145 0.5613361148008718 0.8347936601406298 0.25224175993986075 0.6858042675949227 -0.3916223148526381 0.0213852744499492 -0.7694858883997258 -0.23107035589003333 -0.5448980572453885 fnlwgt -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 -0.35931148004205404 -0.838739819488086 0.14201331269386586 -0.29398326067801017 0.7507120463364467 -0.06141390435721328 -0.2791107887717159 0.6155516989628087 0.008481705696100406 -0.8130868684615102 -0.5196402282166648 0.577875038480153 education=Some-college -0.4589998243104756 0.9875892136094078 -0.6096942695908425 -0.4944728720491516 -0.6040384473956397 0.8400594521795282 -0.5761716128794636 -0.7714002671185514 -0.6920777660881428 -0.7123424453407838 -0.6379821625470092 0.4330902752600698 education=11th -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=HS-grad 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=Prof-school 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=Assoc-acdm -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=Assoc-voc -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 -0.49021382591252927 0.21018720755985276 -0.3440194296703849 -0.6377793765223496 0.005688098778857675 -0.627314531705613 -0.08154076173742086 education=9th 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education=1st-4th 0.5840656262926034 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 -0.15834221691044914 -0.8826351534036512 -0.7044925490055418 -0.3383842848866967 education=10th 0.09199800946014003 -0.12812128460495287 -0.8796244057631433 0.2587298813402168 0.6100231875717759 -0.2515056655993886 -0.7314870786462027 0.6558060728661492 -0.46965793778935394 -0.19368225926117932 0.909566023324327 -0.043788621156186425 education=Doctorate -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 -0.4836761987068492 0.9256631212695201 0.4580697097819457 -0.7592234023114612 -0.5689759423798064 -0.06268335466747144 -0.2939284262539452 -0.6317487818561391 -0.014813505529722715 education=5th-6th 0.7681167038511707 -0.8982737305338044 -0.7658962827532021 -0.5294362088347506 -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 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0.3754491780654585 0.7952327558684493 -0.6213992120483436 0.3485432749220536 marital-status=Never-married 0.6432126984953352 0.734109088760442 -0.8701675232547763 -0.7619560255279945 -0.5569524920988693 0.43644252574578 -0.8980772178573757 0.48760242109777585 -0.21150650076288002 -0.47122711219329516 -0.833067346727385 0.44210006521376566 marital-status=Separated -0.6104707155778142 0.4029685435921617 -0.8024121116434562 0.8932584907705168 -0.09633764473498996 0.35766577661761145 0.07797237547190905 -0.8836336441965462 -0.34592534518250484 -0.9148225597251407 -0.914211204381709 0.38537479616887094 marital-status=Widowed -0.8401728475146428 0.16144084410901471 -0.2919932041909197 -0.1691898539134391 0.15940618494233516 0.04515649425138313 0.27614618814890934 0.7814260275573768 0.18336154693637075 -0.8761984089837553 0.09881519662936755 0.5575335538185009 marital-status=Married-spouse-absent -0.45491738406061355 0.22762921003482028 -0.1344072027306229 -0.038799276413757244 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-0.9489364140526875 -0.9481620957098928 0.3247937671678356 0.8530374300660888 0.9951247340056681 -0.9120002939010186 0.5606768523840133 0.007574783575085231 -0.91721414862699 native-country=Yugoslavia 0.8332247751906989 -0.13633825503700114 0.5446610593500281 -0.705354289554833 0.7888560318604056 0.26117251322002644 -0.5293951985568284 0.7518309832185717 0.20834995936148726 -0.04836604252978671 -0.31182428746874025 0.41378607331930106 native-country=El-Salvador 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 = 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 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education=Prof-school 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=Assoc-acdm -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=Assoc-voc -0.48105689094168436 0.06612408963388994 0.8249994687760931 0.10427053074554449 0.5774117506059475 -0.49021382591252927 0.21018720755985276 -0.3440194296703849 -0.6377793765223496 0.005688098778857675 -0.627314531705613 -0.08154076173742086 education=9th -0.6405375785447458 -0.5842126127173295 -0.9162171347174195 0.37038645404347337 0.9935012561887073 0.35331338664578227 -0.2607596136755561 0.4984903704149566 0.11629925834662957 -0.716784350655856 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native-country=Yugoslavia 0.8332247751906989 -0.13633825503700114 0.5446610593500281 -0.705354289554833 0.7888560318604056 0.26117251322002644 -0.5293951985568284 0.7518309832185717 0.20834995936148726 -0.04836604252978671 -0.31182428746874025 0.41378607331930106 native-country=El-Salvador 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 = 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: -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 0.6077707593884694 0.4333416818857816 0.331289477415164 -0.446637112398635 -0.19322267110117264 -0.20747052010902034 -0.5477252183661079 -0.06622785881719007 0.7705863787543941 0.06617394387462605 0.5765364599401037 0.8426144116475942 workclass=Never-worked 0.3519649878204687 -0.2962639879621649 -0.041167475866655145 0.5613361148008718 0.8347936601406298 0.25224175993986075 0.6858042675949227 -0.3916223148526381 0.0213852744499492 -0.7694858883997258 -0.23107035589003333 -0.5448980572453885 fnlwgt -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 -0.35931148004205404 -0.838739819488086 0.14201331269386586 -0.29398326067801017 0.7507120463364467 -0.06141390435721328 -0.2791107887717159 0.6155516989628087 0.008481705696100406 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0.7518309832185717 0.20834995936148726 -0.04836604252978671 -0.31182428746874025 0.41378607331930106 native-country=El-Salvador 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: 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 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 education=Some-college -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 education=11th 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=HS-grad 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=Prof-school 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=Assoc-acdm 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=Assoc-voc 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 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 education=12th -0.6961949664419445 -0.6599898018854795 0.4121813494669462 0.7987563310342116 0.030048731289127106 0.5840656262926034 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 education=Masters -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 0.909566023324327 -0.043788621156186425 -0.5084055327325421 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0.6901923401815571 -0.2237869674608679 education=Preschool -0.7848555868700562 0.5406059977294908 -0.5029380719271697 -0.12744945655792206 -0.2644816127896088 0.8022523561390085 0.2545468291786448 -0.614532418484848 0.5985097285208609 0.6387568034921116 -0.5585588320469588 -0.97348591607918 -0.04716559366509587 education-num 0.035690157518592835 0.41989555522131616 0.021686146344013002 0.46815483809023584 -0.5558056384214014 -0.3041174976309826 0.3754491780654585 0.7952327558684493 -0.6213992120483436 0.3485432749220536 0.6640615106242982 0.6432126984953352 0.734109088760442 marital-status=Married-civ-spouse -0.7619560255279945 -0.5569524920988693 0.43644252574578 -0.8980772178573757 0.48760242109777585 -0.21150650076288002 -0.47122711219329516 -0.833067346727385 0.44210006521376566 -0.09509284150577191 -0.6104707155778142 0.4029685435921617 -0.8024121116434562 marital-status=Divorced -0.09633764473498996 0.35766577661761145 0.07797237547190905 -0.8836336441965462 -0.34592534518250484 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-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 = 78.1151563047913 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: 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 0.7527463689377216 -0.4589998243104756 0.9875892136094078 -0.6096942695908425 -0.4944728720491516 -0.6040384473956397 0.8400594521795282 -0.5761716128794636 -0.7714002671185514 -0.6920777660881428 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education=7th-8th 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 education=12th -0.6961949664419445 -0.6599898018854795 0.4121813494669462 0.7987563310342116 0.030048731289127106 0.5840656262926034 0.29236312644143125 -0.14400935763483202 0.37929161559298885 -0.665980455391862 -0.6953003912078857 -0.6692408298340637 0.7390167928403748 education=Masters -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 0.909566023324327 -0.043788621156186425 -0.5084055327325421 -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 -0.4836761987068492 0.9256631212695201 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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 = 78.61897840643815 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 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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 0.7527463689377216 -0.4589998243104756 0.9875892136094078 -0.6096942695908425 -0.4944728720491516 -0.6040384473956397 0.8400594521795282 -0.5761716128794636 -0.7714002671185514 -0.6920777660881428 -0.7123424453407838 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-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 = 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 0.7527463689377216 -0.4589998243104756 0.9875892136094078 -0.6096942695908425 -0.4944728720491516 -0.6040384473956397 0.8400594521795282 -0.5761716128794636 -0.7714002671185514 -0.6920777660881428 -0.7123424453407838 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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 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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 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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 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 education=HS-grad 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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: -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 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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 0.5189358183528563 -0.18883378241507565 -0.7544036635997344 0.6102702067132315 0.6051749442076799 0.5295808083359164 -0.08748872087289006 0.3479707521864688 -0.20101063923137352 0.5463819366160012 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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 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 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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 = 69.77668853064388 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 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0.5295808083359164 -0.08748872087289006 0.3479707521864688 -0.20101063923137352 0.5463819366160012 -0.05048426594252131 -0.3061491853333689 0.5432700394878709 -0.1741018725394421 education=HS-grad -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 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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 -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 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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 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-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 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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 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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 = 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 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-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 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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 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-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: 0.2460182606200394 -0.18436848993945265 0.35404568170055617 0.1289895484894179 -0.8744697943857984 -0.6726365933916276 -0.5160127330256541 -0.06653969293805617 0.8241094605631998 0.8246485538665651 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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 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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 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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 = 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: 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 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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 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 -0.3145876125032381 education=Assoc-acdm -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-voc 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 education=9th -0.043788621156186425 -0.5084055327325421 -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 -0.4836761987068492 0.9256631212695201 0.4580697097819457 -0.7592234023114612 -0.5689759423798064 -0.06268335466747144 -0.2939284262539452 -0.6317487818561391 -0.014813505529722715 -0.5350786708841426 0.7681167038511707 education=7th-8th -0.7658962827532021 -0.5294362088347506 -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 0.48734104678219414 0.6287556352557706 -0.8439039830364472 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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 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-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 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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 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education=7th-8th -0.7658962827532021 -0.5294362088347506 -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 0.48734104678219414 0.6287556352557706 -0.8439039830364472 -0.258970667088231 -0.09393797248975155 0.6983640416471244 -0.12443571812744825 -0.8178871821872982 education=12th 0.6635075575906735 -0.8938792692993409 -0.09596330219563964 -0.9163526132756332 0.8539305315207684 -0.6365863022489537 -0.2731135703967016 -0.5474016073336645 -0.476411893266685 0.8684571125732048 0.04699859177507859 0.014735881629157621 0.2585955088866527 0.6074316423894139 0.0826908804677371 -0.8167456993817261 education=Masters 0.8089609525299581 0.6901923401815571 -0.2237869674608679 0.8111244800666824 -0.7848555868700562 0.5406059977294908 -0.5029380719271697 -0.12744945655792206 -0.2644816127896088 0.8022523561390085 0.2545468291786448 -0.614532418484848 0.5985097285208609 0.6387568034921116 -0.5585588320469588 -0.97348591607918 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-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 = 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 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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 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 0.17426478820797997 -0.04747369577170679 0.8318864706475808 0.8283906631568214 education=HS-grad 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 -0.5084055327325421 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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 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 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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=HS-grad 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 -0.5084055327325421 -0.4815883570951651 -0.2746498275516387 -0.8063739236831671 -0.4836761987068492 0.9256631212695201 0.4580697097819457 -0.7592234023114612 -0.5689759423798064 -0.06268335466747144 -0.2939284262539452 -0.6317487818561391 -0.014813505529722715 -0.5350786708841426 0.7681167038511707 -0.8982737305338044 -0.7658962827532021 education=9th -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 0.48734104678219414 0.6287556352557706 -0.8439039830364472 -0.258970667088231 -0.09393797248975155 0.6983640416471244 -0.12443571812744825 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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 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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 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-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 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-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 = 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: 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 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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 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-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 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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 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-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 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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 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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 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-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 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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 -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 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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 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 -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 -0.6317487818561391 -0.014813505529722715 -0.5350786708841426 0.7681167038511707 education=Assoc-acdm -0.7658962827532021 -0.5294362088347506 -0.9410659462797619 0.5492947290811148 -0.2556694707309599 -0.6049762561649725 0.019215160068648096 0.41160438205075134 0.48734104678219414 0.6287556352557706 -0.8439039830364472 -0.258970667088231 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-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 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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 -0.3145876125032381 0.671297318176336 -0.7070769202740039 -0.45787810236344195 -0.09393967021424166 0.21294254467795404 education=11th -0.6961949664419445 -0.6599898018854795 0.4121813494669462 0.7987563310342116 0.030048731289127106 0.5840656262926034 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=HS-grad 0.2587298813402168 0.6100231875717759 -0.2515056655993886 -0.7314870786462027 0.6558060728661492 -0.46965793778935394 -0.19368225926117932 0.909566023324327 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-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 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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 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 0.17426478820797997 -0.04747369577170679 0.8318864706475808 0.8283906631568214 -0.5773081979035071 0.7634928476087881 0.8827741425273947 education=Some-college 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 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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 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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: -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 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-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: -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 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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 = 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