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Intro ] full-2 ] medium-1000 ]
medium-10000 ] medium-2000 ] medium-3000 ]
medium-4000 ] medium-5000 ] [ medium-6000 ]
medium-6000a-zero ] medium-6000a ] medium-6000b ]
medium-7000 ] medium-8000 ] medium-9000 ]
medium.2-1000 ] medium.2-10000 ] medium.2-2000 ]
medium.2-3000 ] medium.2-4000 ] medium.2-5000 ]
medium.2-6000 ] medium.2-7000 ] medium.2-8000 ]
medium.2-9000 ] optimal-1 ] optimal-1a ]
optimal-2 ] optimal-3 ] optimal-4 ]
optimal-5 ] optimal-5a ] optimal-6 ]
param-learn ] param-momentum ] parameter-matrix ]
paramselection-hidden ] short-1000 ] short-2000 ]
short-3000 ] short-4000 ] short-5000 ]
short-6000 ] short.2-1000 ] short.2-2000 ]
short.2-3000 ] short.2-4000 ] short.2-5000 ]
short.2-6000 ] simple-10000 ] simple-100000 ]
simple-2000 ] simple-5000 ]

Up: Report ]

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.01
	-S	1669713379
	-H	2
	-M	0.01
Input Weights:
	0.6234431245563863	0.4864884122356823	age
	0.28642490011962773	-0.25254859481903713	workclass=Private
	-0.8867121987495126	0.6263972458780267	workclass=Self-emp-not-inc
	0.17148676155052844	0.491006782288663	workclass=Self-emp-inc
	0.6557900161813179	-0.5951256231528692	workclass=Federal-gov
	-0.5403648523209212	0.8855545862192753	workclass=Local-gov
	0.1700291925843027	0.9061922953409978	workclass=State-gov
	-0.501303513082376	-0.9954607349188167	workclass=Without-pay
	0.5024950862851705	-0.7560136437576161	workclass=Never-worked
	-0.17480215462521165	0.947322031938324	fnlwgt
	-0.1648399598119772	-0.8766586865427168	education=Bachelors
	0.08970588110838018	-0.4884177642297649	education=Some-college
	-0.08509443660917437	-0.24787208445208386	education=11th
	-0.7545648693684266	0.4166316686660778	education=HS-grad
	0.9757683125301895	0.5512818933907471	education=Prof-school
	0.7621876091787303	-0.028204836828493063	education=Assoc-acdm
	0.9834399480676073	0.11100689950806841	education=Assoc-voc
	-0.2874990268885438	-0.8814047173851418	education=9th
	-0.4966287806640286	0.48842230116000707	education=7th-8th
	-0.9858838365661315	-0.9986548682822414	education=12th
	-0.5511771606509335	0.0017213170600656191	education=Masters
	0.3185403524217205	-0.6804508584413167	education=1st-4th
	0.29117287920519175	0.3749818437119481	education=10th
	0.3943454422585593	0.0876176584952233	education=Doctorate
	-0.6816321758121866	0.6236350938045254	education=5th-6th
	-0.7805807115983867	0.6919674003472607	education=Preschool
	-0.7660139512220956	0.10927300341847102	education-num
	-0.8090547717258336	-0.369509926869652	marital-status=Married-civ-spouse
	0.04310671448204717	0.36872036297341815	marital-status=Divorced
	-0.823563610722007	0.6012699537317152	marital-status=Never-married
	-0.265063555277937	-0.2603658167743035	marital-status=Separated
	-0.1765346450781693	0.9517086634023646	marital-status=Widowed
	0.9275790314586478	-0.4644180739797359	marital-status=Married-spouse-absent
	-0.6516810846435517	-0.599990956622982	marital-status=Married-AF-spouse
	-0.7121662158867152	0.10861161738801672	occupation=Tech-support
	0.6319382633866184	-0.3888250234757742	occupation=Craft-repair
	-0.7023886031970852	0.08652093596575727	occupation=Other-service
	-0.968804169938362	-0.9190623258445523	occupation=Sales
	0.6463599885724587	-0.636118869795373	occupation=Exec-managerial
	-4.3015952567304616E-4	0.0037137839736303135	occupation=Prof-specialty
	-0.7575680531495925	0.007635670486756174	occupation=Handlers-cleaners
	-0.9928687824067213	0.7439753202858057	occupation=Machine-op-inspct
	0.33098921160234607	0.525788889769736	occupation=Adm-clerical
	0.9277107934907989	-0.7178404554786966	occupation=Farming-fishing
	0.4759809046692438	-0.6739026815739158	occupation=Transport-moving
	-0.9378073452659226	-0.12689482940843289	occupation=Priv-house-serv
	0.9218216723258041	0.5142832116812188	occupation=Protective-serv
	0.30083950581891283	0.16236504050875356	occupation=Armed-Forces
	0.02829326662459075	0.2703795824479256	relationship=Wife
	0.07291887509593264	0.3977499359361871	relationship=Own-child
	0.7202777518113439	-0.8116012873056504	relationship=Husband
	-0.8640699842599311	-0.8870002969572153	relationship=Not-in-family
	-0.9186538347368038	-0.5716384709148452	relationship=Other-relative
	-0.16455778165610324	0.9291910178123766	relationship=Unmarried
	0.9348644536899287	0.039344375422068145	race=White
	0.10471718605933367	0.8177734927843188	race=Asian-Pac-Islander
	-0.6952215979847425	-0.9351360575444243	race=Amer-Indian-Eskimo
	-0.4755880522596161	-0.5838895507220407	race=Other
	0.5559928209947043	0.2036398822894021	race=Black
	0.5490135385097747	-0.38001524718895463	sex
	-0.47459438670496	0.004319744207989418	capital-gain
	0.31925493413514117	-0.24564953854485516	capital-loss
	0.5320896432906426	0.4256318634201812	hours-per-week
	-0.9216276139535073	-0.0809415360950716	native-country=United-States
	0.48046963474181625	-0.3340805145526098	native-country=Cambodia
	-0.676799079873273	-0.38549769271783485	native-country=England
	-0.25598747598241656	-0.5008839444509485	native-country=Puerto-Rico
	-0.3539685826801098	0.18600572084831613	native-country=Canada
	0.7580773639739691	-0.04228537103037944	native-country=Germany
	0.425890683945624	0.9169495293708987	native-country=Outlying-US(Guam-USVI-etc)
	-0.40295630968468665	0.55567842269166	native-country=India
	0.7432135259333874	-0.6004987438849092	native-country=Japan
	0.8192987392156472	0.792800090179753	native-country=Greece
	-0.7767253463188484	0.9875093565176953	native-country=South
	-0.1904971207177908	0.34276193205295735	native-country=China
	-0.9664997200142369	0.27654146796032797	native-country=Cuba
	0.2249098794501918	-0.015159674076632212	native-country=Iran
	-0.4910978163925752	-0.5321714050012749	native-country=Honduras
	-0.8257147478025071	-0.6526458614094857	native-country=Philippines
	0.3681355050577917	0.6814108123549467	native-country=Italy
	-0.14421715788620015	-0.7881581031175275	native-country=Poland
	0.18859049398875238	-0.4667920249081474	native-country=Jamaica
	-0.29560381571888095	0.27158268125238294	native-country=Vietnam
	0.6797563735879213	-0.9560493942402288	native-country=Mexico
	0.019439187871071573	0.6062176297818793	native-country=Portugal
	-0.2541461602200479	-0.11345606007860187	native-country=Ireland
	0.6458208030631298	0.9543956005384235	native-country=France
	0.746190195329314	-0.4971111854041461	native-country=Dominican-Republic
	0.876299794048506	-0.6641732264888629	native-country=Laos
	0.5983640867917972	0.35059239235935746	native-country=Ecuador
	0.35083051524661135	-0.6411054028334662	native-country=Taiwan
	0.24759544618608897	-0.18774334161376371	native-country=Haiti
	-0.4023203512389084	0.28481742162357415	native-country=Columbia
	-0.16389580818269334	0.6717742310810029	native-country=Hungary
	0.9520957914119381	0.7077796704820187	native-country=Guatemala
	-0.09063278547285547	-0.19131837196453572	native-country=Nicaragua
	-0.9164086975349017	-0.37526286544858234	native-country=Scotland
	-0.08023347685668081	-0.6227408115126469	native-country=Thailand
	-0.8372607771607381	0.2497539863060867	native-country=Yugoslavia
	-0.17013377863743395	0.4346137625182718	native-country=El-Salvador
	-0.07806366123040887	0.6855189529715746	native-country=Trinadad&Tobago
	0.9433395926874062	-0.8069208663929732	native-country=Peru
	0.34972884179523134	-0.5223705403336176	native-country=Hong
	-0.6638273348090711	0.9473066566941206	native-country=Holand-Netherlands
Hidden Weights:
	-0.9722840053783663	-0.3654623974922697
	0.2877770878970798	0.8942622259634461
		>50K		<=50K

Error sum for iteration 100 = 767.1767763609664
Error sum for iteration 200 = 776.1968701196977
Error sum for iteration 300 = 771.4142065026508
Error sum for iteration 400 = 771.4393967059002
Error sum for iteration 500 = 775.3180786908638
Error sum for iteration 600 = 778.9151253923619
Error sum for iteration 700 = 779.932542608483
Error sum for iteration 800 = 779.0385044291774
Error sum for iteration 900 = 777.0942070576801
Error sum for iteration 1000 = 774.551255166395
Error sum for iteration 1100 = 771.6523174096245
Error sum for iteration 1200 = 768.5144499926705
Error sum for iteration 1300 = 765.1910886851153
Error sum for iteration 1400 = 761.720899307636
Error sum for iteration 1500 = 758.1310418777261
Error sum for iteration 1600 = 754.4795792647249
Error sum for iteration 1700 = 750.8197207935023
Error sum for iteration 1800 = 747.2069875010325
Error sum for iteration 1900 = 743.6831247220729
Error sum for iteration 2000 = 740.2801035557719
Error sum for iteration 2100 = 737.0175464094584
Error sum for iteration 2200 = 733.9055716741143
Error sum for iteration 2300 = 730.9413796712847
Error sum for iteration 2400 = 728.1299230614532
Error sum for iteration 2500 = 725.4622134285155
Error sum for iteration 2600 = 722.9289180214994
Error sum for iteration 2700 = 720.5277934308996
Error sum for iteration 2800 = 718.2469918908006
Error sum for iteration 2900 = 716.0764809718687
Error sum for iteration 3000 = 714.0029517096657
Error sum for iteration 3100 = 712.0193568602785
Error sum for iteration 3200 = 710.1122225553893
Error sum for iteration 3300 = 708.2769744950298
Error sum for iteration 3400 = 706.5122440406512
Error sum for iteration 3500 = 704.8075354319992
Error sum for iteration 3600 = 703.1505108242136
Error sum for iteration 3700 = 701.5293662748335
Error sum for iteration 3800 = 699.9465549328685
Error sum for iteration 3900 = 698.3976061073756
Error sum for iteration 4000 = 696.881798463216
Error sum for iteration 4100 = 695.4024399123164
Error sum for iteration 4200 = 693.9587785261618
Error sum for iteration 4300 = 692.5470797773111
Error sum for iteration 4400 = 691.1709024910034
Error sum for iteration 4500 = 689.8282649502224
Error sum for iteration 4600 = 688.5201474919319
Error sum for iteration 4700 = 687.2498690581866
Error sum for iteration 4800 = 686.0168108283043
Error sum for iteration 4900 = 684.8202910771892
Error sum for iteration 5000 = 683.6607690493557
Error sum for iteration 5100 = 682.5375777300401
Error sum for iteration 5200 = 681.4492424637014
Error sum for iteration 5300 = 680.3951796158832
Error sum for iteration 5400 = 679.3753318625293
Error sum for iteration 5500 = 678.3895464574605
Error sum for iteration 5600 = 677.4347524959192
Error sum for iteration 5700 = 676.5109694116511
Error sum for iteration 5800 = 675.6156553015906
Error sum for iteration 5900 = 674.747516749579

Options: -I 6000 

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	6000
	-E	0.01
	-S	1669713379
	-H	2
	-M	0.01
Input Weights:
	12.286739446575963	0.3342855465321259	age
	-1.5862302810175748	0.6346393848130153	workclass=Private
	1.1811146655046703	1.7479395131632731	workclass=Self-emp-not-inc
	2.6101978785097564	0.3070159206571035	workclass=Self-emp-inc
	-1.4278784504955395	0.0017799475289584014	workclass=Federal-gov
	-1.3440621834027104	1.228019880177376	workclass=Local-gov
	1.2943497428291173	1.3663845933708507	workclass=State-gov
	-0.44517196708802187	-0.6970211171678534	workclass=Without-pay
	0.5642930261888747	-0.5211641660436477	workclass=Never-worked
	-3.1250731976506767	-0.694423026657092	fnlwgt
	-1.2644390727948207	-0.6093252285245695	education=Bachelors
	0.14083294830186072	0.2191706065145254	education=Some-college
	0.21081683436528406	0.7895293687902025	education=11th
	-0.15292450993998105	-0.036795687791837825	education=HS-grad
	-0.4790803605594756	-1.1702401497252441	education=Prof-school
	1.1539454462992362	0.005955446571367855	education=Assoc-acdm
	1.0654901733277906	0.2572475390522691	education=Assoc-voc
	0.9026902471816499	0.5811406569096145	education=9th
	1.1187473175168459	0.24375668074295168	education=7th-8th
	0.24983437585892598	2.607616081416242	education=12th
	0.08730849011648162	-0.4861845267040154	education=Masters
	-0.5653314738156544	3.676759908178413	education=1st-4th
	0.7811644526024333	0.675918031935477	education=10th
	-0.3413883429065833	-1.4994283656790264	education=Doctorate
	-1.6499186630300156	-1.6375955450567334	education=5th-6th
	-0.747337838032528	1.164464908483678	education=Preschool
	-1.8073503990770088	-2.693340588894346	education-num
	-0.20798712290715413	-2.7425080489089173	marital-status=Married-civ-spouse
	0.5679350728658296	1.4987151642074075	marital-status=Divorced
	0.4136282618714229	1.4776342418078803	marital-status=Never-married
	-2.01417980699213	0.3507078334100844	marital-status=Separated
	0.02765658870973731	0.582470138557049	marital-status=Widowed
	1.0884061188000258	2.472836443592751	marital-status=Married-spouse-absent
	-0.7037019352969622	0.11030059890066977	marital-status=Married-AF-spouse
	0.049262851047862856	-0.7117948749652913	occupation=Tech-support
	-1.765816411136782	-0.40845808394224564	occupation=Craft-repair
	3.9467336808221294	1.4868064753587613	occupation=Other-service
	-0.27959018669203567	-0.285607906703504	occupation=Sales
	0.6456440411965384	-0.8155801714148219	occupation=Exec-managerial
	0.8365571672136413	-0.10253635432548755	occupation=Prof-specialty
	-0.20852195399797566	0.6373414738844564	occupation=Handlers-cleaners
	-1.096640214937939	0.23498426076239604	occupation=Machine-op-inspct
	-1.08421997914925	0.14030140000097707	occupation=Adm-clerical
	1.6458834910383495	1.8139668426606002	occupation=Farming-fishing
	-1.9641118313500014	-0.018925425328405913	occupation=Transport-moving
	-0.7473942860304615	1.3820305957596952	occupation=Priv-house-serv
	0.3795342297649703	-0.4330892910291335	occupation=Protective-serv
	0.16584109059120697	0.9374998534682379	occupation=Armed-Forces
	-2.886749113193362	-1.0436336549865435	relationship=Wife
	1.9026803724349421	2.5703330622215055	relationship=Own-child
	-1.4168215100135602	0.9433178741346048	relationship=Husband
	-0.6281137581629236	-0.7270968730950653	relationship=Not-in-family
	1.3007515322937402	0.8655967237296182	relationship=Other-relative
	1.4676319281737262	0.0064560370074977745	relationship=Unmarried
	0.373223619154779	-0.35996428303341527	race=White
	-1.6317563300350253	-1.5878465643120545	race=Asian-Pac-Islander
	2.3703230648548113	1.2635045538582896	race=Amer-Indian-Eskimo
	0.5610715768959744	3.7686941020010254	race=Other
	-0.44472390162081743	-0.48961245600626685	race=Black
	1.4252689459987489	-0.04172898254796066	sex
	0.9148845308672691	-6.058947984504679	capital-gain
	-1.5891924629154228	-2.6564367054250373	capital-loss
	-1.3870917998659211	-3.3188958944434375	hours-per-week
	0.4433025837933801	-0.3680539173635853	native-country=United-States
	-0.09606679899030704	-3.921357747902167	native-country=Cambodia
	-1.3335550728447616	0.30092339073800733	native-country=England
	-0.2758556190757658	-0.45766869881487865	native-country=Puerto-Rico
	1.1972126692434515	-0.9545936793386313	native-country=Canada
	-1.0329072773220116	-1.0628538311001936	native-country=Germany
	0.5393777708600435	1.2013297390734976	native-country=Outlying-US(Guam-USVI-etc)
	1.796408526933157	2.6066859804060085	native-country=India
	0.18505550422541028	3.7965908709888914	native-country=Japan
	0.5908985441407105	1.790016715498002	native-country=Greece
	-2.7273287449140144	-0.7254649978938106	native-country=South
	0.4423369486201532	1.5341760025326856	native-country=China
	0.2955722270634037	1.070154628366633	native-country=Cuba
	2.0666619210749153	-3.102400939226615	native-country=Iran
	0.33436198668262757	0.7472961032642266	native-country=Honduras
	-0.31845492634607775	-1.1532119424035903	native-country=Philippines
	1.703918884691994	-0.9982357572186699	native-country=Italy
	-2.2111015053356615	0.4033174963323126	native-country=Poland
	-2.1256657361695863	-3.345918548615182	native-country=Jamaica
	-1.2662068631594618	0.7806974501366055	native-country=Vietnam
	1.2560286925116568	1.1271067718166377	native-country=Mexico
	-0.6960526193722292	-0.9886062483013641	native-country=Portugal
	1.5898251811991952	-1.5680352864535745	native-country=Ireland
	0.9304696203360936	-0.3160281272314547	native-country=France
	1.8559783828883183	-0.39084096930495915	native-country=Dominican-Republic
	0.4794440841423513	1.4534693384046558	native-country=Laos
	0.623570498963175	0.94083810789968	native-country=Ecuador
	1.2749769560982456	0.7189895259072558	native-country=Taiwan
	-0.37189296543664	2.0482132823588954	native-country=Haiti
	-1.0607794969604747	3.883207603741459	native-country=Columbia
	-0.10209786827890166	0.9066237087949713	native-country=Hungary
	1.066665270974691	-1.5553169347168871	native-country=Guatemala
	-0.2620671368204124	1.9472467060653342	native-country=Nicaragua
	-0.8831664221486435	0.21251479485311187	native-country=Scotland
	0.3647233893231917	1.9740167943659475	native-country=Thailand
	-0.8436100181056065	1.0653026393624694	native-country=Yugoslavia
	-1.7246438628895413	-0.42565794068808654	native-country=El-Salvador
	-0.11055525611553521	1.1391422485298661	native-country=Trinadad&Tobago
	2.015002385394825	1.3698658358595879	native-country=Peru
	0.47977344727657456	-0.43136851512583774	native-country=Hong
	-0.6020293949053669	1.1821561344078744	native-country=Holand-Netherlands
Hidden Weights:
	2.508425726593281	-2.508425726593279
	-4.055002286451929	4.055002286451925
		>50K		<=50K



=== Error on training data ===

Correctly Classified Instances        4284               85.4237 %
Incorrectly Classified Instances       731               14.5763 %
Mean absolute error                      0.2599
Root mean squared error                  0.3294
Relative absolute error                 70.3773 %
Root relative squared error             76.6628 %
Total Number of Instances             5015     


=== Confusion Matrix ===

    a    b   <-- classified as
  721  504 |    a = >50K
  227 3563 |    b = <=50K


=== Error on test data ===

Correctly Classified Instances        4215               84.0479 %
Incorrectly Classified Instances       800               15.9521 %
Mean absolute error                      0.2678
Root mean squared error                  0.3422
Relative absolute error                 73.4668 %
Root relative squared error             80.6958 %
Total Number of Instances             5015     


=== Confusion Matrix ===

    a    b   <-- classified as
  662  516 |    a = >50K
  284 3553 |    b = <=50K


by: Keith A. Pray
Last Modified: July 4, 2004 9:04 AM
© 2004 - 1975 Keith A. Pray.
All rights reserved.

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