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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.18379430101554894 -0.2892102542536039 age
0.41385693616308616 0.5376695395532556 workclass=Private
0.6288464264702958 -0.25892835792372804 workclass=Self-emp-not-inc
0.3234728498693835 0.7277884442462599 workclass=Self-emp-inc
-0.9588077373185779 -0.7910991179929516 workclass=Federal-gov
0.5486357358169573 0.9869337587202522 workclass=Local-gov
-0.13650066732878163 0.36110337957745675 workclass=State-gov
0.09989970120321834 -0.3005996788171905 workclass=Without-pay
-0.7959549810736128 -0.6408408856746417 workclass=Never-worked
-0.8283812067983523 0.7589748909770035 fnlwgt
-0.11792430501275475 -0.17965021899292233 education=Bachelors
0.7879296437319891 -0.1340478754995309 education=Some-college
-0.2644535686504279 0.6667430961113587 education=11th
-0.260305078762159 -0.576497330018594 education=HS-grad
0.13560096773973407 -0.37576744910537063 education=Prof-school
0.49498131645882926 -0.9099833647966404 education=Assoc-acdm
0.8663051949698901 -0.1897680752052282 education=Assoc-voc
-0.5821873412598901 0.07249499766612044 education=9th
0.9160950921436477 -0.2724002609111007 education=7th-8th
0.242434621257281 0.5463626229900036 education=12th
0.14305687290192992 -0.291610427254706 education=Masters
0.918853857206986 -0.2919437096320665 education=1st-4th
-0.9503984876664999 0.5822920417068478 education=10th
0.859422079929506 -0.19902410565403383 education=Doctorate
-0.29284130219932414 0.833105310896531 education=5th-6th
-0.44106738657611166 0.7392099060267536 education=Preschool
-0.7742308174328338 0.5979500584468616 education-num
-0.5909683090204061 -0.23307127612014744 marital-status=Married-civ-spouse
-0.07176585904919408 0.9976784557333613 marital-status=Divorced
0.25242398522429643 -0.14168398572267482 marital-status=Never-married
0.7688578061788471 0.9962253334762106 marital-status=Separated
0.3878275215283007 0.5509524450979912 marital-status=Widowed
-0.4183723849834957 0.39846144886362866 marital-status=Married-spouse-absent
-0.9988954169521758 -0.27399136006450076 marital-status=Married-AF-spouse
0.8444903967997952 -0.0688630439971365 occupation=Tech-support
0.6134208368384122 -0.04347867522242055 occupation=Craft-repair
-0.9584681541565478 -0.5757943724611176 occupation=Other-service
-0.5506342545792835 -0.2607505317555423 occupation=Sales
0.9734297453757195 -0.17160617378734888 occupation=Exec-managerial
-0.42384487790793757 -0.15129109099087312 occupation=Prof-specialty
0.9323538092419643 0.671279676483882 occupation=Handlers-cleaners
-0.7174620569630232 0.6902984564693668 occupation=Machine-op-inspct
0.28810889676892293 0.1640806111103259 occupation=Adm-clerical
-0.920205903322308 -0.2869685057098792 occupation=Farming-fishing
0.3390881902629863 -0.28573796255108963 occupation=Transport-moving
-0.36205762665846875 0.3451044073717848 occupation=Priv-house-serv
0.2195985885087588 0.35818280373810363 occupation=Protective-serv
-0.7675685076146859 -0.4450543655624497 occupation=Armed-Forces
0.02317091957190809 -0.5197669643581246 relationship=Wife
-0.7216343759386845 0.8778227535833141 relationship=Own-child
-0.7578516985355912 0.10100592987371537 relationship=Husband
0.27266882429599204 -0.2113790185926383 relationship=Not-in-family
-0.8765123438128068 0.561424049510933 relationship=Other-relative
0.04522980972917545 0.6938693612574309 relationship=Unmarried
0.9293896144641827 -0.7393793967745013 race=White
-0.6725642737735613 -0.04693843340285242 race=Asian-Pac-Islander
0.5429157406860547 0.474706827629674 race=Amer-Indian-Eskimo
-0.9361911541015764 0.45712399806200765 race=Other
-0.10925491530167597 0.5370442671695375 race=Black
-0.00334468975209834 0.9706026868406223 sex
0.6289813498484955 0.7377347459639123 capital-gain
0.31542107441796685 0.10759863826950711 capital-loss
0.15853761810664513 -0.7660521835187237 hours-per-week
0.6462857235398929 -0.7727365313860579 native-country=United-States
0.8529161637999934 -0.3196229538116573 native-country=Cambodia
-0.4783953593331749 0.31409001647632895 native-country=England
-0.7142506549347096 -0.08874564682691188 native-country=Puerto-Rico
0.4650964102919686 -0.9936119225470355 native-country=Canada
0.9746019855915569 -0.8535866157012724 native-country=Germany
-0.19713850404951483 0.1520388872330476 native-country=Outlying-US(Guam-USVI-etc)
0.7913320088861568 -0.7379258076442952 native-country=India
0.7018658959141584 0.7464615662386946 native-country=Japan
0.6515933777078811 0.6642855176115978 native-country=Greece
-0.7203662620433211 0.830020449604949 native-country=South
-0.3455762980023742 0.3249996355645457 native-country=China
0.04851713585412054 0.22094020129886327 native-country=Cuba
-0.3913871055596858 -0.7229691010129058 native-country=Iran
-0.32424665825689014 -0.9910047722907582 native-country=Honduras
0.310779566395577 -0.9021394703143044 native-country=Philippines
-0.12896750087381936 0.05238847441800876 native-country=Italy
-0.6703839047726476 -0.9796501040043073 native-country=Poland
-0.9353139359903777 0.6666514597317537 native-country=Jamaica
0.04417889720173718 0.7616193752478668 native-country=Vietnam
0.9138208272216601 -0.024831594758355502 native-country=Mexico
-0.23227351307205413 -0.9759113092824956 native-country=Portugal
0.16646661293946874 -0.4451261649910294 native-country=Ireland
0.7925216030475926 -0.946836218502636 native-country=France
0.21453528833407187 -0.04962029811167623 native-country=Dominican-Republic
0.789043683738069 -0.6137545229226842 native-country=Laos
0.0583014721779922 -0.9184239275752679 native-country=Ecuador
-0.797217397949771 0.8433315263199315 native-country=Taiwan
-0.7348297934364609 0.6137033679627502 native-country=Haiti
-0.025468399294949817 -0.6700619869680227 native-country=Columbia
-0.19560612177294634 0.9188389166145214 native-country=Hungary
0.27094410943234326 0.6815818105068372 native-country=Guatemala
-0.05840770825821129 0.6012523684777111 native-country=Nicaragua
-1.0369214886640776E-4 0.7025967850285022 native-country=Scotland
-0.6593771772952475 -0.20250308399624006 native-country=Thailand
0.09247969729179051 0.9613043357920474 native-country=Yugoslavia
-0.6025096065720159 0.050489250685805454 native-country=El-Salvador
0.09656589263644211 -0.3870220706409351 native-country=Trinadad&Tobago
-0.03271329948269752 -0.20597854211019562 native-country=Peru
0.12591728979789263 0.4398361209546886 native-country=Hong
0.9800554894667295 0.012720207762441094 native-country=Holand-Netherlands
Hidden Weights:
0.008200027432156753 0.9487503645294626
0.9364606895660914 -0.885165768134734
>50K <=50K
Error sum for iteration 100 = 732.6044939886042
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.297708015052208 0.2918394324953498 age
0.505754837027295 0.36045011269089783 workclass=Private
1.2588681473905994 -0.22721415029529668 workclass=Self-emp-not-inc
-0.13046512034509314 0.88101034184436 workclass=Self-emp-inc
-0.5980525626831921 -0.7040917887408374 workclass=Federal-gov
0.9848029614867903 0.8390444147073434 workclass=Local-gov
0.6846127547647028 0.30256802820314105 workclass=State-gov
0.23493620738108761 -0.3083826572065521 workclass=Without-pay
-0.6612180490638299 -0.6488064634186345 workclass=Never-worked
-0.34046606399499946 0.6992799640105121 fnlwgt
0.165653047451312 0.053037916323741295 education=Bachelors
0.6309945414418896 -0.3442119382386936 education=Some-college
0.9261521035054165 0.4805291037093988 education=11th
0.23197947910546807 -0.9952608515157284 education=HS-grad
-0.7912905006243799 -0.08550497882980237 education=Prof-school
0.08988541062588712 -0.7400632910409716 education=Assoc-acdm
0.5050190888804683 -0.013084590849053923 education=Assoc-voc
0.6094329349833592 -0.1659074950114686 education=9th
1.3030334163688106 -0.35236492974101336 education=7th-8th
0.8956456153973166 0.47722808092282704 education=12th
0.013465807381550763 0.05289069770961965 education=Masters
1.1085594082226928 -0.3186219830148532 education=1st-4th
0.7744378090999438 0.20723405643777637 education=10th
-0.3237315916351399 0.05768665983190063 education=Doctorate
-0.23855388170218492 0.8047906430193474 education=5th-6th
-0.21149414405519848 0.7099641927579619 education=Preschool
-2.6102363373440634 1.377374169024201 education-num
-1.3669217075794715 0.7845423999932646 marital-status=Married-civ-spouse
0.7486666673513958 0.5391888273783622 marital-status=Divorced
1.0128026956117273 -0.37500027676916514 marital-status=Never-married
0.6410439348375802 0.8845693921407132 marital-status=Separated
0.5151746035367415 0.4652605176110274 marital-status=Widowed
0.4552902372259991 0.23198861787367353 marital-status=Married-spouse-absent
-0.6558951079110711 -0.3554620831243568 marital-status=Married-AF-spouse
-0.418005165196674 0.1449354938292918 occupation=Tech-support
0.05325708096460067 0.016454168116416226 occupation=Craft-repair
0.6233197750569147 -0.8881750665564426 occupation=Other-service
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-0.7754631059361349 0.11104654585283057 occupation=Exec-managerial
0.08744265547955339 0.5542295752524344 occupation=Prof-specialty
1.0921261645714113 0.578441550765408 occupation=Handlers-cleaners
0.682807194167153 0.38776364067166663 occupation=Machine-op-inspct
0.49479562409269734 0.06587352290664326 occupation=Adm-clerical
1.0102860394045425 -0.8636003569097432 occupation=Farming-fishing
0.44919911424086373 -0.07065790236803415 occupation=Transport-moving
-0.10016350828387681 0.2896936653269394 occupation=Priv-house-serv
0.07845416481865523 0.3810019841650804 occupation=Protective-serv
-0.6168884231856586 -0.46025685389092075 occupation=Armed-Forces
-1.1283837101521765 0.1053294226578123 relationship=Wife
0.8205970337560959 0.21512419964047227 relationship=Own-child
-0.10787508774491872 0.4009078609759565 relationship=Husband
-0.2449986087457911 -0.17728063063323046 relationship=Not-in-family
0.01504760126154304 0.3273359773877191 relationship=Other-relative
0.5170009550721597 0.5200411928295174 relationship=Unmarried
0.0788594525766866 -0.3122535416469518 race=White
0.22989032677065113 -0.12913140322823413 race=Asian-Pac-Islander
1.0520373418334867 0.39407802415812193 race=Amer-Indian-Eskimo
-0.29396668064777143 0.387326072767269 race=Other
0.4390546875676008 0.2389855999612919 race=Black
0.1407219569743107 1.2045554799997265 sex
-0.5240401039553937 0.9297510359031476 capital-gain
-1.3336183725395534 0.43490008821244314 capital-loss
-2.2998240866893593 -0.19821382645332442 hours-per-week
-0.22626870862366621 -0.7832288850396005 native-country=United-States
0.8201916346853766 -0.2857338468173337 native-country=Cambodia
0.057807392731022374 0.26114541602385016 native-country=England
-0.37940616542791833 -0.13912909538798632 native-country=Puerto-Rico
0.08824927876425587 -0.8404148699940761 native-country=Canada
0.7245374434091855 -0.8101232310231783 native-country=Germany
-0.03288464643224754 0.13428040799758328 native-country=Outlying-US(Guam-USVI-etc)
1.274312506268781 -0.7583807941186801 native-country=India
0.9176633200299363 0.7380130366491983 native-country=Japan
0.8607120821569485 0.6601720175033757 native-country=Greece
-0.47228521486600045 0.7885501823180586 native-country=South
0.16629629953023586 0.27341312587770455 native-country=China
0.5675495041645529 0.16447094557410463 native-country=Cuba
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-0.1011786154275625 -1.022319048881936 native-country=Honduras
0.27278813381309996 -0.8459109552820936 native-country=Philippines
-0.31519338103794386 0.1146104575234942 native-country=Italy
-0.18907027626827144 -1.0514770270512466 native-country=Poland
-0.8744913378362377 0.6632606435451268 native-country=Jamaica
0.2544636412215449 0.7429255760458804 native-country=Vietnam
1.6307365469164012 -0.12149784579678212 native-country=Mexico
-0.15276877707906986 -0.9644263357945293 native-country=Portugal
0.2015926048068401 -0.4390437236860181 native-country=Ireland
0.8762139390644539 -0.950220416591473 native-country=France
0.28581853342114627 0.0023933372526398445 native-country=Dominican-Republic
1.0054795148599573 -0.639554064646312 native-country=Laos
0.20796649763219435 -0.9328413640560199 native-country=Ecuador
-0.5408807136099371 0.8244455858393628 native-country=Taiwan
-0.43644797193980545 0.5876675487073216 native-country=Haiti
0.31088611179904896 -0.733817995927775 native-country=Columbia
-0.06086918976316104 0.9108733388705287 native-country=Hungary
0.35826197397972637 0.6746511335002401 native-country=Guatemala
0.2565095445280882 0.5839043841704552 native-country=Nicaragua
0.1428593231458358 0.6939185051779116 native-country=Scotland
-0.44606312039640317 -0.2325169269431853 native-country=Thailand
0.28335349294310747 0.9434195765608946 native-country=Yugoslavia
-0.26411467811236045 0.034290911220312276 native-country=El-Salvador
0.3314518433392085 -0.4095362456390688 native-country=Trinadad&Tobago
0.16148813466753775 -0.22929000852818876 native-country=Peru
0.27637121962505795 0.42827467329705027 native-country=Hong
1.114792421476438 0.004754630018414253 native-country=Holand-Netherlands
Hidden Weights:
-3.6470924800094835 3.70030565348215
1.5957096326027898 -1.361278713536978
>50K <=50K
Error sum for iteration 200 = 742.3858006610748
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.434753927059707 0.5576059923610882 age
0.5083062409844917 0.32517407622589894 workclass=Private
1.234378814911321 -0.058414062458890054 workclass=Self-emp-not-inc
0.0010612511968793364 0.7707930662959661 workclass=Self-emp-inc
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0.9951805487778407 0.739069028956903 workclass=Local-gov
0.6824701576528958 0.31547266751412395 workclass=State-gov
0.2574579637511338 -0.30810795961947296 workclass=Without-pay
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0.2002932933095972 -0.011643907281739587 education=Bachelors
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1.083373912581112 0.5282988184197028 education=11th
0.16580451142363536 -1.1539211310678597 education=HS-grad
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0.12146024094848247 -0.7371133290359716 education=Assoc-acdm
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0.8314146800908899 -0.1640810328672589 education=9th
1.175501246737419 -0.2893171728461907 education=7th-8th
1.17246041453717 0.47032481290141104 education=12th
0.12395024065328507 0.1851872923297133 education=Masters
1.146329771491905 -0.316164454846093 education=1st-4th
0.9948345396351852 0.11337970822592897 education=10th
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1.0102327646692717 0.007370005552699344 marital-status=Never-married
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0.4860654963293003 0.42289999493754804 marital-status=Widowed
0.9555997444426286 0.15765990988983328 marital-status=Married-spouse-absent
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0.6930615039286666 0.36421613724707846 occupation=Machine-op-inspct
0.4873492672326026 0.04393135436070549 occupation=Adm-clerical
1.3085997376150729 -0.9745302936071242 occupation=Farming-fishing
0.5289842089223213 0.14533137893939924 occupation=Transport-moving
0.02359050723233695 0.24711118026290604 occupation=Priv-house-serv
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0.18095519813220381 0.42397011725662453 relationship=Husband
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1.1321098975394701 0.38161650849092693 race=Amer-Indian-Eskimo
0.35901761749586975 0.3486305201574924 race=Other
0.2866958920448648 0.2019171477431485 race=Black
0.08467714318521502 1.3470437453479096 sex
-1.328379498811731 1.0424035063675046 capital-gain
-1.9491719680597914 0.475507891986177 capital-loss
-2.8352178765512006 -0.2695958626324984 hours-per-week
-0.31284647542367267 -1.0346973420874765 native-country=United-States
0.7382854540136001 -0.24669113404752122 native-country=Cambodia
0.3807418657552626 0.23558977384206592 native-country=England
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0.28826982512807425 -0.7717750609580588 native-country=Germany
0.020609355041102336 0.12630314936319098 native-country=Outlying-US(Guam-USVI-etc)
1.4757031358901076 -0.7393697150402155 native-country=India
1.025231741908524 0.7411168843068088 native-country=Japan
1.0389443776476264 0.6602450023140163 native-country=Greece
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0.42962033318055354 0.25834335483888504 native-country=China
0.8236968639873284 0.1406883333052304 native-country=Cuba
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0.006599551868003495 -1.0499862976222911 native-country=Honduras
0.01223823668006261 -0.7795100812999679 native-country=Philippines
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0.2288738123768404 -1.1069992388985739 native-country=Poland
-1.0366449913532647 0.6822513279258218 native-country=Jamaica
0.3298603837322863 0.7404627873555603 native-country=Vietnam
1.6635999996183612 -0.10975143111808201 native-country=Mexico
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0.07442782245789668 -0.4176138094562009 native-country=Ireland
0.8099213016568056 -0.9441451119416352 native-country=France
0.15077773839785977 0.08177697360603967 native-country=Dominican-Republic
1.0666886220354013 -0.6518816476224096 native-country=Laos
0.23422539191683653 -0.9353127998838585 native-country=Ecuador
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0.5965935789016252 -0.780118829667782 native-country=Columbia
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0.2752594027070234 0.6784380709121046 native-country=Guatemala
0.4182634881468685 0.5800483957628875 native-country=Nicaragua
0.17727600487491016 0.691828375187197 native-country=Scotland
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0.36799413773992823 0.9351294788471263 native-country=Yugoslavia
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0.3982243198324776 -0.41995544094176446 native-country=Trinadad&Tobago
0.24429251664368673 -0.2481915213588427 native-country=Peru
0.3018594333934311 0.4260321891404499 native-country=Hong
1.137679862654135 0.003685935066881423 native-country=Holand-Netherlands
Hidden Weights:
-3.9088400071962295 3.926197941558609
1.66601782752061 -1.5676665053632926
>50K <=50K
Error sum for iteration 300 = 743.1986255852086
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.3668616693630522 0.8637584156139937 age
0.5259572316201198 0.37557455829013753 workclass=Private
1.2420007084670643 -0.008019103587750794 workclass=Self-emp-not-inc
0.029286540845015155 0.7222356751670366 workclass=Self-emp-inc
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0.19644086529958724 -0.05432263732933784 education=Bachelors
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1.1713781200032043 -0.31181532062341094 education=1st-4th
1.0673625385582353 0.026517283263240765 education=10th
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1.2405098866183892 0.12504086734698952 marital-status=Married-spouse-absent
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0.49030560206774987 0.05351184264917908 occupation=Adm-clerical
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0.3196006363688994 0.5122042895184896 relationship=Husband
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1.1104789011358893 0.386593245491079 race=Amer-Indian-Eskimo
1.0119569885428394 0.31877893222500797 race=Other
0.12343147689606611 0.17843855585017454 race=Black
0.11901577694457285 1.4393553905842498 sex
-1.8607049409799705 1.1258929530579236 capital-gain
-2.093135365803211 0.4383045635323712 capital-loss
-2.9339065338126455 -0.42740756613454584 hours-per-week
-0.3900461637920259 -1.201902085379427 native-country=United-States
0.6630519851990483 -0.20957321061008138 native-country=Cambodia
0.5022132576934419 0.22622443237790246 native-country=England
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1.6031685929010229 -0.7100294133034751 native-country=India
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1.1851639834871122 0.6607032667661884 native-country=Greece
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1.6358552646645597 -0.10464361272694374 native-country=Mexico
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0.7268305472621821 -0.9342389067654897 native-country=France
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1.1107049147890133 -0.6622647254881792 native-country=Laos
0.24660408073484302 -0.9351840861860637 native-country=Ecuador
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0.005129534827150741 0.5606969487480177 native-country=Haiti
0.8755768767967701 -0.8127738865909718 native-country=Columbia
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0.16465872314377872 0.6851638829922311 native-country=Guatemala
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0.1975267199970499 0.6924760415322214 native-country=Scotland
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0.4338587598418685 0.9314217185600105 native-country=Yugoslavia
0.0632630209845837 0.07767472216918093 native-country=El-Salvador
0.44348195194887274 -0.4284813909936358 native-country=Trinadad&Tobago
0.30541604057100763 -0.2673580370021896 native-country=Peru
0.31255002191384634 0.42693075236466893 native-country=Hong
1.1461585518671682 0.00551033595827259 native-country=Holand-Netherlands
Hidden Weights:
-4.0183634836304005 4.021612906611892
1.749813343116966 -1.7200665222523486
>50K <=50K
Error sum for iteration 400 = 743.4170559793101
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.278074845696448 1.1968116599036525 age
0.5452999546523977 0.4543516703282289 workclass=Private
1.2349544489209954 -0.01625316785295876 workclass=Self-emp-not-inc
0.03311996483037859 0.7050818678334618 workclass=Self-emp-inc
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0.19183613123633372 -0.08739451609256746 education=Bachelors
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1.2310489592327871 0.6370889437308862 education=11th
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1.4900436032979876 0.488274643457306 education=12th
0.11614584130367255 0.38002409001122733 education=Masters
1.1925819434826075 -0.30693126944258275 education=1st-4th
1.0866413000442077 -0.06227522522872119 education=10th
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1.3412948017501973 -1.0231531816096093 occupation=Farming-fishing
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1.4493245688558907 0.31583943835805567 race=Other
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0.1344152114429959 1.467013022365993 sex
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1.7000703430531794 -0.6797757569555012 native-country=India
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0.4852746980859592 0.9305197786560827 native-country=Yugoslavia
0.13568713069819596 0.11044254383921882 native-country=El-Salvador
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0.35230252456528094 -0.2859112552031014 native-country=Peru
0.31879742759550944 0.4289595594745941 native-country=Hong
1.15039410404828 0.008240207634194096 native-country=Holand-Netherlands
Hidden Weights:
-4.081099818480945 4.081475187045928
1.8559780468982432 -1.848378653421359
>50K <=50K
Error sum for iteration 500 = 745.6917431718177
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.182973411573525 1.543626498734787 age
0.5661778509090153 0.5367031662209671 workclass=Private
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1.7280278595852478 0.3307251058150557 race=Other
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0.14112642270864537 1.4565096504269468 sex
-2.665317945292175 1.234863763043157 capital-gain
-2.160298533843285 0.31569689747976293 capital-loss
-3.001771425887767 -0.8095426747737834 hours-per-week
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1.3957028709763428 0.6618221744295937 native-country=Greece
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1.1282698507045845 0.1075891326691726 native-country=Cuba
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1.4642760145308624 -0.11206039358369867 native-country=Mexico
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0.5626791998196637 -0.9141031780223009 native-country=France
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1.1910938815076872 -0.6840909374025269 native-country=Laos
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0.17534384775994966 0.14683222394228224 native-country=El-Salvador
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1.1530083062571204 0.010770869720946322 native-country=Holand-Netherlands
Hidden Weights:
-4.1224371809686655 4.122440451149686
1.9693218714027771 -1.9675005292075842
>50K <=50K
Error sum for iteration 600 = 749.5639152025956
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-1.077819255229667 1.9001063110544225 age
0.5882983909712095 0.616209931835137 workclass=Private
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0.1439994238446799 1.4332736512121893 sex
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1.154736017692836 0.012900487409298073 native-country=Holand-Netherlands
Hidden Weights:
-4.159497665629577 4.159482397587044
2.084242222575447 -2.083815352405269
>50K <=50K
Error sum for iteration 700 = 753.5649405174373
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.9667840325809718 2.2629730416360507 age
0.6102491569151012 0.6884312756054943 workclass=Private
1.172475659381921 -0.11616744191632837 workclass=Self-emp-not-inc
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Hidden Weights:
-4.193245872148182 4.193239327423068
2.195747136335506 -2.195647178826991
>50K <=50K
Error sum for iteration 800 = 756.7994641594471
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.8538952657405414 2.629029447537962 age
0.6313458779586815 0.7509770565356807 workclass=Private
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1.612837289037155 0.13227422423552856 marital-status=Married-spouse-absent
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2.2007271416607406 0.41011279759089453 race=Other
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0.1391567606303697 1.3837827222030976 sex
-3.6588737763225794 1.301041644042523 capital-gain
-2.1784523498873667 0.13366512080526588 capital-loss
-3.101592492154072 -1.3915867641956805 hours-per-week
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1.8999242820670033 -0.5911158509148262 native-country=India
1.6141505566801 0.7427458264601366 native-country=Japan
1.5657026605341668 0.6630301483359323 native-country=Greece
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0.8514238782489183 -1.105706817609083 native-country=Poland
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1.237518307597546 -0.1603110713982126 native-country=Mexico
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0.34894157282204363 -0.8897199138364891 native-country=France
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1.301376839640127 -0.7238355172787437 native-country=Laos
0.2873061125522099 -0.9373641827453288 native-country=Ecuador
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2.102884225572445 -0.888690838333344 native-country=Columbia
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0.6213343727416055 0.9304446541311892 native-country=Yugoslavia
0.20129673576426096 0.26601359302557426 native-country=El-Salvador
0.6125252750018948 -0.4682822434730851 native-country=Trinadad&Tobago
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1.1572028615532988 0.015565506467172127 native-country=Holand-Netherlands
Hidden Weights:
-4.218684414507122 4.218682311169999
2.2995182762034965 -2.2994946535359917
>50K <=50K
Error sum for iteration 900 = 759.2277312029634
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.7398223508803956 2.9958343424669844 age
0.6518589396595199 0.8057176990341636 workclass=Private
1.1685993184452574 -0.09752411075512897 workclass=Self-emp-not-inc
0.07619865352323232 0.7953707351954754 workclass=Self-emp-inc
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1.2666717013356366 -0.2763312424823693 education=1st-4th
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0.13404708822506528 1.36009473026546 sex
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0.6456038039023689 0.9296835584440505 native-country=Yugoslavia
0.19836326468221924 0.3035430459735135 native-country=El-Salvador
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0.33415339522775983 0.4349329630693001 native-country=Hong
1.1581396956726322 0.015952922459395117 native-country=Holand-Netherlands
Hidden Weights:
-4.236102739460901 4.2361021320205055
2.3951043674051955 -2.3950987275492372
>50K <=50K
Error sum for iteration 1000 = 760.8564502990637
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.6273821632327287 3.3606770188229556 age
0.6710874305364364 0.852726504016512 workclass=Private
1.1766703996908656 -0.06982031016611231 workclass=Self-emp-not-inc
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1.8677184051510232 0.657511118373812 education=12th
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1.2774918176608088 -0.2682292452395088 education=1st-4th
0.8901218137313983 -0.5197400499484526 education=10th
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0.16394914252478948 0.6795968992304213 education=Preschool
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0.12827562545568008 1.3395566086622923 sex
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0.9250831550849065 0.5332618242614257 native-country=Haiti
2.4735959904706455 -0.9147121410855976 native-country=Columbia
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0.3360346126460995 0.43459250454985626 native-country=Hong
1.1588420621788422 0.015816390951192093 native-country=Holand-Netherlands
Hidden Weights:
-4.248461512408021 4.248461346603146
2.483871205778373 -2.483869843524436
>50K <=50K
Error sum for iteration 1100 = 761.7041281968517
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.5209200171339595 3.719960822761641 age
0.6875363012732814 0.8899639569093151 workclass=Private
1.186608696717181 -0.04298999883736963 workclass=Self-emp-not-inc
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0.19533807466896747 0.6765231557535278 education=Preschool
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0.12169124103924503 1.3233897455023937 sex
-4.21454933330213 1.2681346989867324 capital-gain
-2.2152068183980433 -0.03560648379434284 capital-loss
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Hidden Weights:
-4.257756565603626 4.257756521692408
2.5667495277538066 -2.56674919277141
>50K <=50K
Error sum for iteration 1200 = 761.9128824507212
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-4.265082713386371 4.265082701854934
2.6440332942155336 -2.644033209620999
>50K <=50K
Error sum for iteration 1300 = 761.725083593474
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
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1.110417858493851 0.5266629054654386 native-country=Haiti
2.9100899531994857 -0.9608943936019795 native-country=Columbia
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1.0182424929919927 0.5800922394077964 native-country=Nicaragua
0.3018050186392671 0.6928865325411868 native-country=Scotland
1.0862857103631847 -0.29245150338621256 native-country=Thailand
0.7211982808227179 0.9241286187076942 native-country=Yugoslavia
0.19443752993784197 0.4227008487852459 native-country=El-Salvador
0.7372328484460905 -0.5088100770026177 native-country=Trinadad&Tobago
0.4398590085645199 -0.47632739198316504 native-country=Peru
0.3403550482060424 0.4321910759869417 native-country=Hong
1.1598727693792332 0.013977789790271183 native-country=Holand-Netherlands
Hidden Weights:
-4.271464238670036 4.271464235610567
2.715827569015448 -2.7158275469111675
>50K <=50K
Error sum for iteration 1400 = 761.4207504860988
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.2628406437184448 4.728103007961344 age
0.7125782544382332 0.9396796339966326 workclass=Private
1.2066832917703838 -0.0024344629804474555 workclass=Self-emp-not-inc
0.14340704910146346 0.9635493979532732 workclass=Self-emp-inc
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1.130420597814564 1.010513739150561 workclass=Local-gov
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0.2787039747725134 0.2247806876978445 education=Bachelors
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1.3900824546792383 1.4166891607885712 education=11th
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1.3237843557671811 -0.22084996239587804 education=1st-4th
0.8156261524152926 -0.5842039154540372 education=10th
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0.28530659069565056 0.6674883567023375 education=Preschool
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2.670612784272181 0.5519878824566724 race=Other
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0.09611950896070402 1.295362968676175 sex
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-3.261990237371949 -2.194625592725173 hours-per-week
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1.9988767708324764 -0.5325402889295148 native-country=India
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1.039518593009343 -0.351166186872798 native-country=Mexico
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0.01650760375431007 -0.8609295850797487 native-country=France
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1.4556916388894738 -0.8116200989538499 native-country=Laos
0.33424000596024533 -0.9575352114828184 native-country=Ecuador
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1.1608822851719898 0.5246832973018599 native-country=Haiti
3.0289785997914405 -0.9777497262500756 native-country=Columbia
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1.0526552885371159 0.5785239009236357 native-country=Nicaragua
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1.1480936863938944 -0.276646439491652 native-country=Thailand
0.7366537703913948 0.9226953955792648 native-country=Yugoslavia
0.19916610344474242 0.4454017316412791 native-country=El-Salvador
0.7585112037920736 -0.5171279849321803 native-country=Trinadad&Tobago
0.4368532037997854 -0.5104691812012294 native-country=Peru
0.3415190854906444 0.4313027565011904 native-country=Hong
1.1599580145634683 0.013277693089526338 native-country=Holand-Netherlands
Hidden Weights:
-4.278331859327743 4.27833185849596
2.7826089424805027 -2.7826089364782445
>50K <=50K
Error sum for iteration 1500 = 761.1412199300981
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.1960492114219296 5.033589992582895 age
0.7141086072289679 0.9403401855438919 workclass=Private
1.2088245199093626 -7.635924428061359E-5 workclass=Self-emp-not-inc
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2.005715633621702 0.8338298994539911 education=12th
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1.3454199980107584 -0.20621563705765264 education=1st-4th
0.8123201827541987 -0.5745039833130676 education=10th
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1.16004786764906 0.012615465074873666 native-country=Holand-Netherlands
Hidden Weights:
-4.287202609455137 4.287202609221216
2.8455425051270713 -2.8455425034314983
>50K <=50K
Error sum for iteration 1600 = 760.7791113149682
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
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1.2117048782840842 0.0023977574042704877 workclass=Self-emp-not-inc
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0.3105789206988652 0.1066151537460225 native-country=Outlying-US(Guam-USVI-etc)
2.0317891778937702 -0.520019457319909 native-country=India
2.0328455416278848 0.7080964048199061 native-country=Japan
1.6281621984663341 0.647709556500795 native-country=Greece
0.1558770655265358 0.6510852612189247 native-country=South
1.0237461209147478 0.2936544397745055 native-country=China
1.2001293880615718 0.05366047841123986 native-country=Cuba
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0.7994374149374587 -1.2809611793613513 native-country=Honduras
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0.8162255266298281 -0.9981515725459708 native-country=Poland
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0.7403071077482178 0.7779209406186413 native-country=Vietnam
0.9969558894657512 -0.4182737873375146 native-country=Mexico
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1.4865641604741548 -0.8341632821473107 native-country=Laos
0.3494660717001202 -0.9636078699479929 native-country=Ecuador
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1.2527274867336 0.5210047983525866 native-country=Haiti
3.2321397163519423 -1.0129176087064797 native-country=Columbia
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1.1193153744439235 0.5754545734945343 native-country=Nicaragua
0.3225224653089694 0.6895248369874167 native-country=Scotland
1.252351405639188 -0.23347186433472172 native-country=Thailand
0.7656663534313635 0.9200912412536131 native-country=Yugoslavia
0.2155268714957943 0.4842534506358234 native-country=El-Salvador
0.799024468678589 -0.5343200931441623 native-country=Trinadad&Tobago
0.43498191157206084 -0.5905429431624905 native-country=Peru
0.3441821929304374 0.42963687097804065 native-country=Hong
1.1604215692714706 0.012011147833334498 native-country=Holand-Netherlands
Hidden Weights:
-4.297696613335379 4.297696613266994
2.905503241225142 -2.9055032407275694
>50K <=50K
Error sum for iteration 1700 = 760.1060053857724
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.08097203676772835 5.601235052166266 age
0.7128054677870073 0.9243286687361457 workclass=Private
1.2173610010490667 0.009269388163661798 workclass=Self-emp-not-inc
0.1715579364136355 1.031377462274316 workclass=Self-emp-inc
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1.1391123440166344 1.041807707080635 workclass=Local-gov
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0.3010157204398736 0.3682834283565896 education=Bachelors
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1.4337537895462482 -0.17943867574529926 education=1st-4th
0.8146651834611911 -0.5355469010455954 education=10th
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0.3680147824024363 0.6600730833460303 education=Preschool
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1.4872196034601457 1.6391900004211484 marital-status=Never-married
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0.488313255890239 0.11405136661871601 occupation=Adm-clerical
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1.2718938691263915 1.264670945620245 relationship=Own-child
0.5376423977206594 0.014906440830362664 relationship=Husband
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0.7777909316515095 0.8261118766573403 race=Amer-Indian-Eskimo
2.818347529527654 0.6036501064112989 race=Other
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0.08194874159447378 1.2899862401318156 sex
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0.9763924559631787 -0.4487592055524738 native-country=Mexico
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1.4981522859314444 -0.8426996255049329 native-country=Laos
0.3575278747410551 -0.9661323366332433 native-country=Ecuador
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1.295608276805528 0.5192644306221603 native-country=Haiti
3.3178570939847165 -1.0311294545178196 native-country=Columbia
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1.1517795658809753 0.5739676936964514 native-country=Nicaragua
0.329583141141738 0.6885865080567785 native-country=Scotland
1.2925077042415347 -0.20537361536988016 native-country=Thailand
0.779845072034928 0.9189323111012685 native-country=Yugoslavia
0.22594676048194903 0.5007280973912743 native-country=El-Salvador
0.8184993734103594 -0.5431716780317217 native-country=Trinadad&Tobago
0.4356611334906042 -0.6364641939306107 native-country=Peru
0.3461103912271015 0.4288825181000531 native-country=Hong
1.1612378962546102 0.011474404441446094 native-country=Holand-Netherlands
Hidden Weights:
-4.306538430428477 4.306538430407784
2.9615689687528857 -2.961568968601639
>50K <=50K
Error sum for iteration 1800 = 759.1154224667231
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
-0.031382441946515446 5.868673879974102 age
0.710306896362942 0.9078917401145377 workclass=Private
1.2257288563552133 0.02175946383712063 workclass=Self-emp-not-inc
0.1783760545606495 1.0489519285802182 workclass=Self-emp-inc
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1.1397065102940058 1.0312030435054385 workclass=Local-gov
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2.0739655979830416 0.9275492239469005 education=12th
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1.5024212524655898 -0.16785672623564868 education=1st-4th
0.8188259941969074 -0.5083941059421593 education=10th
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0.3934457422338715 0.6579603418056313 education=Preschool
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0.08362291584396202 1.2977303432681657 sex
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1.336919306870077 0.5175141903231473 native-country=Haiti
3.3938455079423147 -1.0498106284747124 native-country=Columbia
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1.3238351204302687 -0.17312893546821828 native-country=Thailand
0.7938369117047829 0.917827072639952 native-country=Yugoslavia
0.23711122355817468 0.5151778323340732 native-country=El-Salvador
0.8372613104758446 -0.5521716222949866 native-country=Trinadad&Tobago
0.43679741465372246 -0.6862029689968605 native-country=Peru
0.3483745993670432 0.42814500152847296 native-country=Hong
1.1623915600118457 0.010971548172053836 native-country=Holand-Netherlands
Hidden Weights:
-4.311305448482855 4.311305448476345
3.0129404007795246 -3.0129404007319764
>50K <=50K
Error sum for iteration 1900 = 757.9912857054937
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.01512211580448567 6.128813700445575 age
0.7064853874755878 0.8858331990558287 workclass=Private
1.235850352032414 0.03905605402131147 workclass=Self-emp-not-inc
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2.8995938646601083 0.634594111399935 race=Other
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0.08770180767884114 1.309243646033949 sex
-4.841132063887124 0.9508157517245945 capital-gain
-2.377638716386452 -0.6027437363264951 capital-loss
-3.277700668107987 -2.5348542129655085 hours-per-week
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2.065515759211927 -0.4947875987867661 native-country=India
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1.621306609548411 0.6314628058934609 native-country=Greece
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1.5138707289416058 -0.854133866385412 native-country=Laos
0.3741317559100542 -0.9702539342168595 native-country=Ecuador
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1.37687772825987 0.5156635853076484 native-country=Haiti
3.4605525056778266 -1.069019372688619 native-country=Columbia
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0.8075221911403263 0.9167179311207141 native-country=Yugoslavia
0.24881604477185493 0.5274975302806856 native-country=El-Salvador
0.8550502282301982 -0.5613032846472257 native-country=Trinadad&Tobago
0.43800938054961475 -0.7396011655202872 native-country=Peru
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1.163708040707372 0.010450622772024812 native-country=Holand-Netherlands
Hidden Weights:
-4.312417391764025 4.312417391762009
3.060537795283145 -3.060537795267768
>50K <=50K
Error sum for iteration 2000 = 756.9333609809122
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.06062171383851435 6.383976457264968 age
0.7011984565182092 0.8578423553690233 workclass=Private
1.246813795090427 0.06019749618018622 workclass=Self-emp-not-inc
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3.518203106639582 -1.0886706103473573 native-country=Columbia
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1.1650546565905153 0.009884419587094576 native-country=Holand-Netherlands
Hidden Weights:
-4.311544060309009 4.311544060308306
3.106078799206563 -3.1060787992014323
>50K <=50K
Error sum for iteration 2100 = 756.0390351551146
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.10625836513173754 6.6359766279977155 age
0.6942600048599923 0.8237278406735071 workclass=Private
1.2579483155407571 0.08439950502016891 workclass=Self-emp-not-inc
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1.5212202849346508 -0.8594907038781894 native-country=Laos
0.3904572431149797 -0.9732830310528017 native-country=Ecuador
0.01117040385238775 0.549571611880381 native-country=Taiwan
1.453666978332744 0.5114081594316809 native-country=Haiti
3.5668694877987916 -1.1083795941454264 native-country=Columbia
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1.273036506892986 0.5672613336863472 native-country=Nicaragua
0.3571093743832263 0.6850336427260463 native-country=Scotland
1.3789801606530436 -0.059888596616296634 native-country=Thailand
0.8336741333520244 0.9144137921390192 native-country=Yugoslavia
0.2738993837086387 0.5455739220700857 native-country=El-Salvador
0.8868101947237782 -0.5795652356295532 native-country=Trinadad&Tobago
0.4395054041830912 -0.8562674327054305 native-country=Peru
0.35567732248863726 0.4255880016922589 native-country=Hong
1.166352972259991 0.009292148793720176 native-country=Holand-Netherlands
Hidden Weights:
-4.310190480681799 4.310190480681592
3.151157325512275 -3.151157325510588
>50K <=50K
Error sum for iteration 2200 = 755.267297173086
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.1518892860139165 6.885748205921796 age
0.685604510064095 0.7839727165649188 workclass=Private
1.2688087182550953 0.11084108725284408 workclass=Self-emp-not-inc
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2.163561836349456 1.0325975877962803 education=12th
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1.8328669803187347 -0.12235787316549049 education=1st-4th
0.8403080875673236 -0.36055113540970846 education=10th
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1.1170476997311454 1.0387138268219245 marital-status=Divorced
1.4727644666779875 1.6073560603242945 marital-status=Never-married
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0.785503829984901 1.0327686125148674 race=Amer-Indian-Eskimo
3.0047666159241566 0.6795830111539667 race=Other
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0.11591873987320807 1.3553983243029393 sex
-4.946128386077992 0.8121953106083505 capital-gain
-2.4603505353336503 -0.8436582758780315 capital-loss
-3.314462517802024 -2.6771632807651375 hours-per-week
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0.3877633760522377 -0.006611334612393474 native-country=England
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2.0903188302651037 -0.4570982739969983 native-country=India
2.2194169051702746 0.7006283544658986 native-country=Japan
1.622638066641983 0.605201228261181 native-country=Greece
0.28969435103749475 0.49592870762418234 native-country=South
1.1240268120892352 0.23453674673776423 native-country=China
1.2474727146914928 0.02992455419408929 native-country=Cuba
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0.7841887707379674 -0.8992078913726345 native-country=Poland
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0.8856116654691554 -0.5442513004240243 native-country=Mexico
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1.5222295451587824 -0.8601833338779226 native-country=Laos
0.3983705534703241 -0.9743118543428367 native-country=Ecuador
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1.490915352270121 0.5089756697595855 native-country=Haiti
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1.3893349338672571 -0.018850069816669684 native-country=Thailand
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0.2874947832838535 0.5513424426200982 native-country=El-Salvador
0.9004417620066492 -0.5882656325998794 native-country=Trinadad&Tobago
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1.1675688071013657 0.008734280769352985 native-country=Holand-Netherlands
Hidden Weights:
-4.309185729814715 4.309185729814639
3.1968639718866605 -3.1968639718860583
>50K <=50K
Error sum for iteration 2300 = 754.5169399291807
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.1964952178534962 7.133057534831176 age
0.6753930684300179 0.7397275221823667 workclass=Private
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0.12792940392177246 1.3694424690238778 sex
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1.5216943402220722 -0.859629634849406 native-country=Laos
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3.638098027918014 -1.1446688191813603 native-country=Columbia
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1.3282264116565277 0.5632021055400785 native-country=Nicaragua
0.36908215727406785 0.6834496271836917 native-country=Scotland
1.397675015451979 0.02307195525608531 native-country=Thailand
0.8581408923360794 0.9122939509711819 native-country=Yugoslavia
0.30196599364060234 0.5549430283141956 native-country=El-Salvador
0.912444153868653 -0.5963006582304688 native-country=Trinadad&Tobago
0.4382037592372533 -0.9826066072649198 native-country=Peru
0.3602949265439821 0.423721311799957 native-country=Hong
1.1686945415111605 0.008271898145510955 native-country=Holand-Netherlands
Hidden Weights:
-4.308652220491993 4.308652220491976
3.2436538292181893 -3.243653829217973
>50K <=50K
Error sum for iteration 2400 = 753.7113030381241
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.23913758746385616 7.376742126231574 age
0.6639244475972692 0.6920644201979377 workclass=Private
1.2892416430270977 0.16797810270328714 workclass=Self-emp-not-inc
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0.3174292452220115 0.5563173564984809 native-country=El-Salvador
0.9227991815720495 -0.6034345298322981 native-country=Trinadad&Tobago
0.4358775817379912 -1.0475049075785547 native-country=Peru
0.36247597867448367 0.4228262466089174 native-country=Hong
1.1697269150985312 0.007920743091824143 native-country=Holand-Netherlands
Hidden Weights:
-4.308345773499616 4.308345773499608
3.2914754560066926 -3.291475456006613
>50K <=50K
Error sum for iteration 2500 = 752.8711610185386
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.2796682821142917 7.615437019272025 age
0.6514371214169206 0.6412787529028083 workclass=Private
1.2992158320753882 0.19910368371645576 workclass=Self-emp-not-inc
0.2104896482150342 1.1828557356718024 workclass=Self-emp-inc
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0.34770151199970295 0.491226263746076 education=Bachelors
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1.4648968068163772 1.9142459797952749 education=11th
0.18585695643206718 -0.5829385732567013 education=HS-grad
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2.2352377984162084 1.0989979976006825 education=12th
0.20262313096711657 0.4030751821542213 education=Masters
2.065463400250332 -0.08432227427165072 education=1st-4th
0.8504372239843301 -0.2170061106503338 education=10th
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0.5323354329628174 0.6448987093924071 education=Preschool
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1.339119558394714 -0.2969707583926262 marital-status=Married-spouse-absent
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0.38221211430294255 -0.22032014478115552 occupation=Adm-clerical
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3.0974682659505146 0.7277576926467465 race=Other
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0.14769035206992764 1.385653319443122 sex
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-3.355452674207481 -2.787480797379732 hours-per-week
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1.516715516889881 -0.8553109473182283 native-country=Laos
0.4212251086384918 -0.9752639003733777 native-country=Ecuador
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1.5992212409618507 0.5004370008063342 native-country=Haiti
3.6793514162428513 -1.170903914914288 native-country=Columbia
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1.3803215580303234 0.5587306113169576 native-country=Nicaragua
0.379686379978965 0.6823270030238356 native-country=Scotland
1.4122078998623722 0.10731379308131668 native-country=Thailand
0.8811822118858033 0.9106404697331562 native-country=Yugoslavia
0.33400452412910286 0.5553113313696043 native-country=El-Salvador
0.9315336871262618 -0.6095322999060909 native-country=Trinadad&Tobago
0.4320069481725991 -1.112345716938434 native-country=Peru
0.36454036221534375 0.42190505318422866 native-country=Hong
1.1706512599113026 0.007639982800494629 native-country=Holand-Netherlands
Hidden Weights:
-4.308143265430321 4.308143265430314
3.3401290436424307 -3.3401290436423903
>50K <=50K
Error sum for iteration 2600 = 752.0838066200649
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.31883861523331525 7.848222016305777 age
0.6380223145304387 0.5869769612380015 workclass=Private
1.3094507475083328 0.23349853942452833 workclass=Self-emp-not-inc
0.2134749722903002 1.214317458152112 workclass=Self-emp-inc
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1.4726162519779904 1.9283220927443947 education=11th
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2.135880706138544 -0.07166659872747727 education=1st-4th
0.8511765323933428 -0.16471477448555694 education=10th
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0.5470517900643651 0.6433528934846232 education=Preschool
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1.3245349287209083 -0.32080225081157737 marital-status=Married-spouse-absent
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3.127144402786227 0.7446261782391347 race=Other
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3.6914081894360127 -1.1792385063222262 native-country=Columbia
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0.3518568289188789 0.5516609696705014 native-country=El-Salvador
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1.171435735265796 0.007353209445410562 native-country=Holand-Netherlands
Hidden Weights:
-4.308354590798811 4.308354590798809
3.3896225293185056 -3.38962252931849
>50K <=50K
Error sum for iteration 2700 = 751.4646559961418
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.3577992774372596 8.07477469848172 age
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1.1283582865214308 0.14898789844760557 native-country=China
1.3041653659750558 -0.019583674814520304 native-country=Cuba
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0.9950063616915569 -1.3470453176301607 native-country=Honduras
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0.775977826827203 -0.7964650221100817 native-country=Poland
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0.8761265107341683 1.155082483247699 native-country=Vietnam
0.8044921424926532 -0.4206260043169605 native-country=Mexico
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1.5074997265330572 -0.848028419092155 native-country=Laos
0.43581682150670004 -0.9749582637830012 native-country=Ecuador
0.05098328856492501 0.4461976505099671 native-country=Taiwan
1.668647053638924 0.49297863364741834 native-country=Haiti
3.6991191314365826 -1.1845375430552838 native-country=Columbia
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1.4297812655929911 0.5531144765045265 native-country=Nicaragua
0.38892421497855967 0.6812544863671132 native-country=Scotland
1.4290975021126784 0.1873975101316857 native-country=Thailand
0.9030606933510592 0.9090832589675321 native-country=Yugoslavia
0.37120503727389004 0.5450092598805006 native-country=El-Salvador
0.9443217523878706 -0.6184719300641516 native-country=Trinadad&Tobago
0.4181448681538104 -1.2371232731716963 native-country=Peru
0.36808066747361107 0.41968624306915603 native-country=Hong
1.1720369020366188 0.006996181635520354 native-country=Holand-Netherlands
Hidden Weights:
-4.309820267513596 4.309820267513596
3.440473157229567 -3.440473157229559
>50K <=50K
Error sum for iteration 2800 = 750.9954164292759
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.3964432882858207 8.294839794237229 age
0.6093183448076352 0.4700391716137364 workclass=Private
1.3311858083420594 0.31780537902302497 workclass=Self-emp-not-inc
0.21928659268357772 1.2963493162428437 workclass=Self-emp-inc
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1.068228196354839 0.5507310873852155 workclass=Local-gov
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0.3295678121267185 0.3351508060784411 education=Bachelors
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1.4858728108562025 1.9432309406858863 education=11th
0.20071593175941005 -0.47161452383844976 education=HS-grad
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2.3123677049336164 1.156435831749595 education=12th
0.20085068624317715 0.2134262425295805 education=Masters
2.265671446124903 -0.04834101053725483 education=1st-4th
0.8462825155618625 -0.054922453669883575 education=10th
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0.573150890801168 0.6401848517359418 education=Preschool
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1.2150534667077248 1.0718828074454796 marital-status=Divorced
1.3986153264852412 1.434437919206021 marital-status=Never-married
0.09915199754657474 -0.33205388366247274 marital-status=Separated
0.5008645336949965 -0.03074370117180012 marital-status=Widowed
1.29110855337325 -0.35583586199310613 marital-status=Married-spouse-absent
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0.3328884548890785 -0.3807024858558467 occupation=Adm-clerical
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1.1239011297772465 -0.0028287364113307196 occupation=Priv-house-serv
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1.4340397663648183 1.6366667157077248 relationship=Own-child
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0.023875640683607834 1.133170888809473 relationship=Unmarried
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0.8080060850340705 1.2579923140612075 race=Amer-Indian-Eskimo
3.18671185834788 0.7793613146354541 race=Other
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0.15475120214614083 1.3578039095301297 sex
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0.484507972134762 0.06882148616347289 native-country=Outlying-US(Guam-USVI-etc)
2.1848953404139686 -0.31819810175745245 native-country=India
2.35838367482572 0.7291109445776432 native-country=Japan
1.659830015059928 0.53729781643966 native-country=Greece
0.22704847061590128 0.15589322291370625 native-country=South
1.1299187673428037 0.14806965725706625 native-country=China
1.3109845381931062 -0.037639267821544066 native-country=Cuba
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0.794823491766017 -0.35052544259055085 native-country=Mexico
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1.5016083482863627 -0.8436959976899157 native-country=Laos
0.442939503887285 -0.9747672645896569 native-country=Ecuador
0.052434677366356125 0.4283049031628687 native-country=Taiwan
1.702665973202618 0.4884498331220411 native-country=Haiti
3.7033888525162104 -1.187113211139701 native-country=Columbia
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1.4537353824287345 0.5496211908585273 native-country=Nicaragua
0.3930389984689788 0.6806681116967178 native-country=Scotland
1.4400446266205 0.22416762389311926 native-country=Thailand
0.91366132465092 0.9082814641348044 native-country=Yugoslavia
0.3921690356704111 0.5350212339492402 native-country=El-Salvador
0.9485292516123267 -0.6212612745253416 native-country=Trinadad&Tobago
0.40745825272166414 -1.293774586523121 native-country=Peru
0.3694166090731911 0.41841249668318253 native-country=Hong
1.1724361248875976 0.0066062038195253405 native-country=Holand-Netherlands
Hidden Weights:
-4.3137092331616955 4.313709233161698
3.493948320495627 -3.493948320495623
>50K <=50K
Error sum for iteration 2900 = 750.386325114865
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4312487187985276 8.507095505798182 age
0.5961739825983274 0.4155334074908711 workclass=Private
1.3420068506664824 0.36634094746327917 workclass=Self-emp-not-inc
0.22172038505694033 1.3478791605142273 workclass=Self-emp-inc
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1.0549174123584808 0.4822962082517383 workclass=Local-gov
0.4625683938591696 -0.8969887667570287 workclass=State-gov
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0.32272054865651106 0.2840874706076857 education=Bachelors
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1.489803058185101 1.9446533495273965 education=11th
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0.7405979737533394 0.7624062265985544 education=9th
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2.3394603607492828 1.1743410067035494 education=12th
0.19663883375924246 0.12180685293238776 education=Masters
2.325143435339104 -0.03813591402609352 education=1st-4th
0.8400259073353149 0.0015621305738326276 education=10th
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0.5847134334386619 0.638788729211452 education=Preschool
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1.2751069554380876 -0.3675295350149025 marital-status=Married-spouse-absent
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0.31787217234387244 -0.4241270850930433 occupation=Adm-clerical
1.6199759416417037 0.17821164436461512 occupation=Farming-fishing
0.5450039625233633 0.39062008434326423 occupation=Transport-moving
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0.8101058063286923 1.2917152471223396 race=Amer-Indian-Eskimo
3.2172456835200265 0.7972828731445802 race=Other
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0.14782352075218277 1.336390610676199 sex
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2.2089654311693137 -0.2836657750542397 native-country=India
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1.4951467569949015 -0.8389183993581925 native-country=Laos
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0.051570024595705914 0.4122374461291409 native-country=Taiwan
1.7363983838474424 0.4834972556661299 native-country=Haiti
3.7051828352620872 -1.187355400448372 native-country=Columbia
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1.4773254901575668 0.5457860660745735 native-country=Nicaragua
0.39694307882144764 0.6802481483062534 native-country=Scotland
1.453227235256639 0.25811715629571336 native-country=Thailand
0.9241783469902204 0.9076639077196924 native-country=Yugoslavia
0.41426135645939605 0.5216302970728524 native-country=El-Salvador
0.9515777319156159 -0.6228298958505828 native-country=Trinadad&Tobago
0.3941545254540361 -1.3441633431585462 native-country=Peru
0.3704758948907568 0.4173198813140642 native-country=Hong
1.1727093797350188 0.006372525145648297 native-country=Holand-Netherlands
Hidden Weights:
-4.320438456151263 4.3204384561512645
3.551426258308662 -3.5514262583086613
>50K <=50K
Error sum for iteration 3000 = 749.3597282514378
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4574760768830864 8.708635560098045 age
0.585639944343642 0.3700492460506343 workclass=Private
1.351498163663364 0.41222799523578824 workclass=Self-emp-not-inc
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0.832070099560423 0.05727870062425538 education=10th
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0.5954628169393912 0.6377514246195558 education=Preschool
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0.8108748705753848 1.3251639265285111 race=Amer-Indian-Eskimo
3.248243789321117 0.815558347189318 race=Other
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0.1367537212699907 1.3166560463789871 sex
-5.137841367913199 0.44809003147018395 capital-gain
-2.6167573120425414 -1.333310853981076 capital-loss
-3.343709396030103 -2.768062989451537 hours-per-week
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0.5512775507465856 -0.23116945728673163 native-country=England
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2.2369485998135232 -0.24652817452552567 native-country=India
2.4020021131881815 0.7485612918181331 native-country=Japan
1.6836002122590648 0.519186461636598 native-country=Greece
0.15373397307828848 -0.05507702772537278 native-country=South
1.1406106857458167 0.1801943148856496 native-country=China
1.3108056280534308 -0.08033987062470446 native-country=Cuba
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0.7834762364429961 -0.7290222020027863 native-country=Poland
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0.9284908302266701 1.292715565112522 native-country=Vietnam
0.7983484956759228 -0.16323061211741732 native-country=Mexico
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1.4884261935387104 -0.8336687293450794 native-country=Laos
0.4574003145552058 -0.9736878698233926 native-country=Ecuador
0.04867040151498859 0.3994427124218784 native-country=Taiwan
1.76985445298454 0.4783281442135802 native-country=Haiti
3.705488652089456 -1.1858157281734183 native-country=Columbia
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1.500543805657533 0.5418442370645234 native-country=Nicaragua
0.400810103264629 0.6801586875333645 native-country=Scotland
1.4683174362984641 0.28907595687907395 native-country=Thailand
0.934721281350575 0.907388804623419 native-country=Yugoslavia
0.435908487884101 0.5051925565811406 native-country=El-Salvador
0.9538584222942273 -0.6232280092637448 native-country=Trinadad&Tobago
0.3787290124326824 -1.3877433375393842 native-country=Peru
0.371388846656701 0.41664693340199765 native-country=Hong
1.1730005822093852 0.006458886470312482 native-country=Holand-Netherlands
Hidden Weights:
-4.328131982241619 4.328131982241618
3.612151339278574 -3.612151339278573
>50K <=50K
Error sum for iteration 3100 = 747.8737424463131
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4744386427364204 8.896133004854397 age
0.5775589874759005 0.3331038778810765 workclass=Private
1.3588397792472415 0.4496390519220433 workclass=Self-emp-not-inc
0.22373067848912012 1.4617974217026706 workclass=Self-emp-inc
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1.0284891844707083 0.34601873090941226 workclass=Local-gov
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1.258209397720178 -0.39062325130286496 marital-status=Married-spouse-absent
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3.279065416247984 0.8340770523015962 race=Other
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0.12376210375228576 1.3003726282387573 sex
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3.705021432533183 -1.1831485601041971 native-country=Columbia
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0.9452510609689119 0.9074035810292196 native-country=Yugoslavia
0.4551393447594998 0.4863154153030269 native-country=El-Salvador
0.9556718088914965 -0.6227373687005265 native-country=Trinadad&Tobago
0.3619970051003105 -1.4256769367183448 native-country=Peru
0.3722372884550155 0.4163803634527447 native-country=Hong
1.1733734916493457 0.006818897929813246 native-country=Holand-Netherlands
Hidden Weights:
-4.3336472660124645 4.333647266012467
3.6727845762650673 -3.672784576265068
>50K <=50K
Error sum for iteration 3200 = 746.0929897934035
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48497165213896765 9.067704006830475 age
0.5712541914337121 0.30239863572796516 workclass=Private
1.3641893749461045 0.4773731402743956 workclass=Self-emp-not-inc
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3.7041359590894025 -1.1798817825572416 native-country=Columbia
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1.5005660239797038 0.34236723323745893 native-country=Thailand
0.9556516622892107 0.9075411255557344 native-country=Yugoslavia
0.47078928506422035 0.4655297361264175 native-country=El-Salvador
0.9571615536592535 -0.6216994705963337 native-country=Trinadad&Tobago
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0.3730172116012969 0.4163584901266365 native-country=Hong
1.1737977629458372 0.00729053308938333 native-country=Holand-Netherlands
Hidden Weights:
-4.335573267386153 4.335573267386154
3.730480983362854 -3.7304809833628534
>50K <=50K
Error sum for iteration 3300 = 744.1977263057208
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49179545212923326 9.2233411920463 age
0.5661947848401617 0.27591027621708103 workclass=Private
1.3681929878501418 0.4975078028178668 workclass=Self-emp-not-inc
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1.216742644133784 1.0134353800144373 marital-status=Divorced
1.3471502591839806 1.3536041399355963 marital-status=Never-married
0.18443621053464407 -0.20765907046004287 marital-status=Separated
0.49967152653256935 -0.09941905857800845 marital-status=Widowed
1.2589930305081063 -0.42142412596050155 marital-status=Married-spouse-absent
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0.8114160204173898 1.4228057621341132 race=Amer-Indian-Eskimo
3.3377743169743663 0.8710595711779154 race=Other
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0.09843088177138065 1.2734681884355517 sex
-5.2095681728099015 0.3265330425009064 capital-gain
-2.6337723757046394 -1.4233282456546723 capital-loss
-3.289827281148961 -2.6762045397316196 hours-per-week
-0.338890826349612 0.19819308259954838 native-country=United-States
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0.6294057947772643 -0.3305305499831636 native-country=England
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0.5425888981878194 0.041050221870553384 native-country=Outlying-US(Guam-USVI-etc)
2.3353587768913213 -0.12848096748679222 native-country=India
2.467186296358856 0.7849568871576049 native-country=Japan
1.7173749195593762 0.5012243324444615 native-country=Greece
6.359458002511686E-4 -0.47806725161335434 native-country=South
1.1761663109095661 0.2895093041318525 native-country=China
1.277573803262316 -0.14365333425143503 native-country=Cuba
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0.961197421455122 -1.168875561306275 native-country=Honduras
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0.8007885977899522 -0.6804244202797833 native-country=Poland
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0.9863725090791344 1.440768015322596 native-country=Vietnam
0.8581875812389098 0.1288251756614267 native-country=Mexico
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1.4680582495888141 -0.8165463156387593 native-country=Laos
0.4805188631268198 -0.9700301011855371 native-country=Ecuador
0.03440788807353697 0.37843815004214787 native-country=Taiwan
1.8660482383442754 0.4623643158411464 native-country=Haiti
3.7029766499723413 -1.1763220750071928 native-country=Columbia
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1.5660773339883418 0.5302196314056349 native-country=Nicaragua
0.4125088963841698 0.6809812655473013 native-country=Scotland
1.5166704009606438 0.36520991155490007 native-country=Thailand
0.9658513777103941 0.907668337031751 native-country=Yugoslavia
0.4826662211677544 0.44315171001218245 native-country=El-Salvador
0.9583931257810012 -0.6203565188434722 native-country=Trinadad&Tobago
0.32717006988531344 -1.4907462083278424 native-country=Peru
0.37370469080453395 0.41644497499118993 native-country=Hong
1.174230303924368 0.007744504318876254 native-country=Holand-Netherlands
Hidden Weights:
-4.334486316233357 4.334486316233356
3.784342339867475 -3.784342339867476
>50K <=50K
Error sum for iteration 3400 = 742.3006478752972
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4963872252715648 9.364004825041082 age
0.5619604068045366 0.2519876649193768 workclass=Private
1.3713934152526353 0.5127159972121349 workclass=Self-emp-not-inc
0.22218920385684038 1.6264578858437833 workclass=Self-emp-inc
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0.30772941526771525 0.17330489640410218 education=Bachelors
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0.22014753104136434 -0.3295671609395874 education=HS-grad
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2.466550341890642 1.2621996523652261 education=12th
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2.5775118133061263 -0.009078932131419507 education=1st-4th
0.8057735832802526 0.24671554771403245 education=10th
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0.6313871290964379 0.6354374906602822 education=Preschool
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1.2618618490593465 -0.4378930313649733 marital-status=Married-spouse-absent
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0.4801744424654656 0.14382861634102906 occupation=Transport-moving
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1.4214808642719705 1.7863163551219519 relationship=Own-child
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0.8126813416904978 1.4538875014305317 race=Amer-Indian-Eskimo
3.3652065397877267 0.8891338831449587 race=Other
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0.08741350687594276 1.2617523218275895 sex
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1.4612502103021656 -0.8108469338633131 native-country=Laos
0.48840620640617116 -0.9686511210084254 native-country=Ecuador
0.029396037111245655 0.3758040293019877 native-country=Taiwan
1.8961765028327273 0.4569101590037523 native-country=Haiti
3.701603881780166 -1.1726092119115574 native-country=Columbia
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1.586292290656272 0.5263508691819614 native-country=Nicaragua
0.41633980402414716 0.6812224733086233 native-country=Scotland
1.532757035951673 0.38595814302622394 native-country=Thailand
0.9758346915321731 0.907723733222116 native-country=Yugoslavia
0.49106355183761063 0.4193440827950239 native-country=El-Salvador
0.9594015532806062 -0.6188316320402111 native-country=Trinadad&Tobago
0.3096218291800036 -1.519604383874591 native-country=Peru
0.37428508580562553 0.4165774140421656 native-country=Hong
1.1746459942786052 0.00812180628310931 native-country=Holand-Netherlands
Hidden Weights:
-4.331513753185833 4.331513753185832
3.8345551793421873 -3.834555179342183
>50K <=50K
Error sum for iteration 3500 = 740.4534148240889
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4993705946915268 9.49087577381449 age
0.5581849597993421 0.2291998632173567 workclass=Private
1.3741241568198783 0.5252731917602523 workclass=Self-emp-not-inc
0.2215445022270004 1.6774492011210196 workclass=Self-emp-inc
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0.9912137250701943 0.12124053658814897 workclass=Local-gov
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1.461885866733148 1.9127719725444312 education=11th
0.22053852982423525 -0.31740001919015476 education=HS-grad
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2.4882986995291323 1.2794847516465926 education=12th
0.15313008205287293 -0.26074055427935094 education=Masters
2.6204202304479214 -0.007721472959395316 education=1st-4th
0.8010769851813873 0.2840114800889728 education=10th
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0.6389112203218736 0.6348616843970474 education=Preschool
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1.2653178845779234 -0.4540484504353518 marital-status=Married-spouse-absent
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1.6792447664756798 0.5300108334164415 occupation=Farming-fishing
0.4692163882402534 0.09766085289086557 occupation=Transport-moving
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0.814588099816475 1.4842393246070245 race=Amer-Indian-Eskimo
3.391365025695266 0.9067767616606256 race=Other
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0.0777104234125518 1.2513224400639091 sex
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0.6581948550460868 -0.39632617303403844 native-country=England
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0.5618934851780403 0.030575829655948406 native-country=Outlying-US(Guam-USVI-etc)
2.4028043774742702 -0.04639474521732156 native-country=India
2.509799575672862 0.81108419434084 native-country=Japan
1.735303732908114 0.4927153650019254 native-country=Greece
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1.2087707509921803 0.3809660224939507 native-country=China
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0.8148843701557352 -0.6629415712578669 native-country=Poland
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1.026516929043684 1.5434693509558233 native-country=Vietnam
0.9082788102512586 0.29407533250647017 native-country=Mexico
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1.454430782066924 -0.8052386892841502 native-country=Laos
0.49632688311888545 -0.9672575273220461 native-country=Ecuador
0.024593043945323606 0.37556055250795556 native-country=Taiwan
1.9253425693951258 0.4513868766420446 native-country=Haiti
3.700049890361465 -1.1687926752088065 native-country=Columbia
-6.264603922801573E-4 0.9145318664481992 native-country=Hungary
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1.6057728182182915 0.5224644229583203 native-country=Nicaragua
0.42011741768657035 0.6813845544147873 native-country=Scotland
1.5490299846252549 0.40493283493307963 native-country=Thailand
0.9856154290708223 0.9076966219194185 native-country=Yugoslavia
0.4963977033982738 0.39419580020154565 native-country=El-Salvador
0.960206198359773 -0.617167418961951 native-country=Trinadad&Tobago
0.29201535195992023 -1.546410357291916 native-country=Peru
0.3747532416001417 0.41674816109935287 native-country=Hong
1.1750351508465657 0.008413157596053163 native-country=Holand-Netherlands
Hidden Weights:
-4.3276048758614145 4.3276048758614145
3.881612687792973 -3.881612687792967
>50K <=50K
Error sum for iteration 3600 = 738.6877104232905
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.5009313840228717 9.605080147339955 age
0.5545471961638944 0.2062592071921179 workclass=Private
1.3765929428259707 0.5370700635802637 workclass=Self-emp-not-inc
0.22082696906634092 1.7263960162223553 workclass=Self-emp-inc
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0.3015860273745215 0.14809090260167831 education=Bachelors
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1.4548558141590082 1.904506972232759 education=11th
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2.6610598126485168 -0.007370103999888283 education=1st-4th
0.7965242052300076 0.3175575795510596 education=10th
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0.6460124381168026 0.6342587400919507 education=Preschool
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3.4163338638811007 0.9239488123974322 race=Other
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0.06928719461841928 1.2423333766850617 sex
-5.286631520797247 0.22077623379941777 capital-gain
-2.6534745187957194 -1.484113910172531 capital-loss
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0.504272708689888 -0.9658394752785721 native-country=Ecuador
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0.37511075367734814 0.41698021656711975 native-country=Hong
1.1753982366978875 0.00863618183603295 native-country=Holand-Netherlands
Hidden Weights:
-4.323433135974904 4.323433135974905
3.926049643547974 -3.926049643547974
>50K <=50K
Error sum for iteration 3700 = 737.0111421694888
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.5010385497702582 9.707706654285204 age
0.5507980837780337 0.18212709639435465 workclass=Private
1.3789633300850503 0.5497720452723274 workclass=Self-emp-not-inc
0.2199057477970815 1.7731279737312424 workclass=Self-emp-inc
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0.29870089517715953 0.13781590078129088 education=Bachelors
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0.7919526072091558 0.3476388217033909 education=10th
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3.440205117409108 0.9406451112996965 race=Other
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3.696505704100669 -1.1608644458426605 native-country=Columbia
8.16258480261316E-5 0.9149421494191711 native-country=Hungary
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0.2562676330384616 -1.5939141322587975 native-country=Peru
0.3753653488355519 0.41731326158267035 native-country=Hong
1.1757432370868377 0.008823440567026587 native-country=Holand-Netherlands
Hidden Weights:
-4.319456069965204 4.319456069965204
3.9684037344248084 -3.9684037344248058
>50K <=50K
Error sum for iteration 3800 = 735.4097439389934
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49958941682025915 9.800054443694798 age
0.5468548991070934 0.1564545999362515 workclass=Private
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0.7873058397527128 0.3745801888482188 education=10th
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1.4339890586847834 -0.7888685120129783 native-country=Laos
0.5202549481941326 -0.9628169238154841 native-country=Ecuador
0.013033141371288744 0.39373730427212456 native-country=Taiwan
2.0079029985668098 0.434461075962448 native-country=Haiti
3.694580819766086 -1.1567237796593293 native-country=Columbia
4.23415737726062E-4 0.9151379637990925 native-country=Hungary
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1.6605843369413325 0.5109330381530154 native-country=Nicaragua
0.43123783132435367 0.6816324253861141 native-country=Scotland
1.6008027922091022 0.4538150045454404 native-country=Thailand
1.0140133851767845 0.9073624250387184 native-country=Yugoslavia
0.49775421609903603 0.3112261571123009 native-country=El-Salvador
0.9615023610981388 -0.6111956891763346 native-country=Trinadad&Tobago
0.23798172298768488 -1.6145597071660969 native-country=Peru
0.3755325159065209 0.41779710073331927 native-country=Hong
1.1760850269765988 0.009019254946969516 native-country=Holand-Netherlands
Hidden Weights:
-4.315930433110475 4.315930433110474
4.009230722826224 -4.009230722826231
>50K <=50K
Error sum for iteration 3900 = 733.8721571769045
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.496623364301662 9.884041773969518 age
0.5429510087949214 0.13029585492930087 workclass=Private
1.384095732714305 0.5829235951079889 workclass=Self-emp-not-inc
0.21703733198493988 1.858643315510474 workclass=Self-emp-inc
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0.969462019681043 -0.04173221767038863 workclass=Local-gov
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0.2938839484921194 0.12281034692739928 education=Bachelors
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2.5666369413661325 1.3470986602391248 education=12th
0.12398208048961518 -0.426657991694994 education=Masters
2.770283022556019 -0.00993877643065076 education=1st-4th
0.7826139030681559 0.39875545405990503 education=10th
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0.6654792931905212 0.6326190117714415 education=Preschool
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1.2841536508876046 -0.5125756769783075 marital-status=Married-spouse-absent
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1.4312916058071998 1.8909696819623816 relationship=Own-child
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3.4849741294384198 0.9726521450342762 race=Other
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0.049707572533918366 1.2218349319545385 sex
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-3.235090939344553 -2.5077858400800235 hours-per-week
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2.533488776066157 0.12334889944815672 native-country=India
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1.76867991870926 0.4809879179704306 native-country=Greece
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0.8453728054084996 -0.6529247249205368 native-country=Poland
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1.1187620796055107 1.7597140571034886 native-country=Vietnam
1.002146837453781 0.564025596750334 native-country=Mexico
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1.4272384571172503 -0.7834522588019479 native-country=Laos
0.5283171197226527 -0.9611287461481096 native-country=Ecuador
0.01137455605806982 0.4068189948935689 native-country=Taiwan
2.034027864745935 0.4287749073840661 native-country=Haiti
3.6926093087149527 -1.1524353684512574 native-country=Columbia
7.814492447224067E-4 0.9153928274135242 native-country=Hungary
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1.6778826071144786 0.5072776940409739 native-country=Nicaragua
0.43494045285937305 0.6817747480339477 native-country=Scotland
1.619169204641927 0.4681053820494868 native-country=Thailand
1.0232620012098357 0.9073086523536872 native-country=Yugoslavia
0.4943033456973185 0.2812436106585528 native-country=El-Salvador
0.9616219374248967 -0.6087579899230054 native-country=Trinadad&Tobago
0.21951944551327612 -1.6332599941838195 native-country=Peru
0.3756366787632173 0.4184796409059162 native-country=Hong
1.1764430604836453 0.009274118561410716 native-country=Holand-Netherlands
Hidden Weights:
-4.312817789493582 4.312817789493583
4.04906458531112 -4.049064585311127
>50K <=50K
Error sum for iteration 4000 = 732.3745418602759
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49263488820155554 9.962287407745045 age
0.5396340367409289 0.10614869080454481 workclass=Private
1.3872308225856376 0.6041055792978015 workclass=Self-emp-not-inc
0.21516630609067158 1.8964751924842498 workclass=Self-emp-inc
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0.29202707057037797 0.11801189066432745 education=Bachelors
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2.5845088417063544 1.363812538954622 education=12th
0.11679318677035906 -0.46180076860180813 education=Masters
2.8030172205022748 -0.011335455152340438 education=1st-4th
0.77796517193192 0.4205808668324161 education=10th
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1.2903969238971071 -0.5265644891925918 marital-status=Married-spouse-absent
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0.04367834178480807 1.214225160536635 sex
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3.6906279226446266 -1.1480001500918808 native-country=Columbia
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1.6375718499280092 0.48163517133108047 native-country=Thailand
1.0324315717393606 0.907342919403298 native-country=Yugoslavia
0.48926214521903155 0.2502351795936827 native-country=El-Salvador
0.9616553814097633 -0.6060843637547854 native-country=Trinadad&Tobago
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1.1768289405207981 0.00961402075104875 native-country=Holand-Netherlands
Hidden Weights:
-4.309729877495162 4.309729877495162
4.088271904030203 -4.088271904030207
>50K <=50K
Error sum for iteration 4100 = 730.9376897784333
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48857002592753124 10.037351783221776 age
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1.390895434275767 0.6274589008623065 workclass=Self-emp-not-inc
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-3.224345549107689 -2.4650065491399986 hours-per-week
-0.2648319241458453 0.42147171506921516 native-country=United-States
-3.5955239186352084 -0.3230495751847608 native-country=Cambodia
0.7034174652135132 -0.5987242615434604 native-country=England
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0.6112258495571923 9.798504127983523E-4 native-country=Outlying-US(Guam-USVI-etc)
2.5963262210111266 0.20894952252124702 native-country=India
2.6394440135268753 0.9004421661001167 native-country=Japan
1.7855695797740827 0.47752095236075004 native-country=Greece
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1.3423845613163294 0.7023790063196846 native-country=China
1.1608106734698278 -0.27156516632136607 native-country=Cuba
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0.9180808714479423 -0.8553810975828101 native-country=Honduras
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0.8609583997174974 -0.6555356906193975 native-country=Poland
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1.168851628023596 1.8747394699562212 native-country=Vietnam
1.043581248914172 0.6730910440352744 native-country=Mexico
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1.413911368576907 -0.7724625442046018 native-country=Laos
0.5446118949291703 -0.9573200365760275 native-country=Ecuador
0.015591444449885642 0.4379834975281193 native-country=Taiwan
2.084231392281521 0.41759495898018545 native-country=Haiti
3.688646302041366 -1.143476044125554 native-country=Columbia
0.001568764373922982 0.9161216511467615 native-country=Hungary
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1.711329489949471 0.5004124455006531 native-country=Nicaragua
0.44242695550327954 0.6822850520086277 native-country=Scotland
1.6552323450685416 0.49446442927029827 native-country=Thailand
1.0415038110150137 0.9074299685567597 native-country=Yugoslavia
0.48278467599871777 0.21827396037230964 native-country=El-Salvador
0.9616526678263171 -0.6032715548560894 native-country=Trinadad&Tobago
0.18355346623904897 -1.6666233010767344 native-country=Peru
0.37573783116587106 0.42039260284490826 native-country=Hong
1.1772303756127285 0.010002942294666728 native-country=Holand-Netherlands
Hidden Weights:
-4.306241478397923 4.3062414783979195
4.126989466124508 -4.126989466124497
>50K <=50K
Error sum for iteration 4200 = 729.5863935394237
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4852417162229196 10.110928379551886 age
0.5363622575934321 0.07160301796121392 workclass=Private
1.3950244174213464 0.6520097975071012 workclass=Self-emp-not-inc
0.21153553151816099 1.9603801584719762 workclass=Self-emp-inc
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0.9594324705320759 -0.13810580488519206 workclass=Local-gov
0.5622324374909993 -0.8450826971710443 workclass=State-gov
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0.2895316532346524 0.11343152416460786 education=Bachelors
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1.4146166503254316 1.8422647242355399 education=11th
0.21739931786010078 -0.24536272824875371 education=HS-grad
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0.34778664738348686 -0.2956794606272265 education=Assoc-voc
0.5456846977273596 0.6962000847178484 education=9th
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2.618062220392368 1.397288779679611 education=12th
0.10860571418633215 -0.4976339419436973 education=Masters
2.8644496203158947 -0.014466791251405172 education=1st-4th
0.7690152883970965 0.4588075973651328 education=10th
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0.6832285350961889 0.6316597851840092 education=Preschool
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-2.109870830124746 1.3997225597484617 marital-status=Married-civ-spouse
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1.339284577944214 1.392153977882524 marital-status=Never-married
0.24644774626391608 -0.06335663485155647 marital-status=Separated
0.44499380937744176 -0.31538865072319516 marital-status=Widowed
1.3033288290532312 -0.5546055858241076 marital-status=Married-spouse-absent
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0.8353915199357501 0.4263359876473235 occupation=Other-service
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0.06654963745447845 0.910283142193956 occupation=Prof-specialty
1.084958232176012 1.1431894041306967 occupation=Handlers-cleaners
0.15513793408059168 -1.2980401230028962 occupation=Machine-op-inspct
0.2403662288931893 -0.6651223457561446 occupation=Adm-clerical
1.7138239626089313 0.7869139462994739 occupation=Farming-fishing
0.40810625987175764 -0.16635696169919734 occupation=Transport-moving
1.307572989479648 0.09240556061782518 occupation=Priv-house-serv
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1.4423566570177941 1.9414948185810426 relationship=Own-child
0.4472407604768121 -0.9727411279517497 relationship=Husband
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0.48268674001869444 1.057587713678202 relationship=Other-relative
0.11453054227940553 1.370771745893375 relationship=Unmarried
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0.8322721857435391 1.6846874884896264 race=Amer-Indian-Eskimo
3.5452256168891814 1.0166465382918264 race=Other
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0.03092590447354764 1.1932165709209963 sex
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-0.2582221401732579 0.43564555290973817 native-country=United-States
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0.7074584327182675 -0.6331590101832404 native-country=England
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2.6262895017757004 0.251619656366946 native-country=India
2.6610016015605633 0.9165229684287415 native-country=Japan
1.793827281279532 0.47615004461839516 native-country=Greece
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1.3649648520099145 0.7591228073534119 native-country=China
1.1507707176175646 -0.28133915531479897 native-country=Cuba
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1.1926476629471878 1.9321712143874121 native-country=Vietnam
1.0628202816639873 0.7217158369118494 native-country=Mexico
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1.4072999352675755 -0.7669296897494636 native-country=Laos
0.5528007849379628 -0.9553120128926087 native-country=Ecuador
0.022169379267545485 0.4525455656415692 native-country=Taiwan
2.108195781334037 0.41210210950285975 native-country=Haiti
3.6866504122081274 -1.1389505075080375 native-country=Columbia
0.001957569748768756 0.9164853448561645 native-country=Hungary
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1.7274994465899978 0.49708849975586317 native-country=Nicaragua
0.44617581402523365 0.6825421445346194 native-country=Scotland
1.6713619120220304 0.5066196568927699 native-country=Thailand
1.0504455918413556 0.907496311591309 native-country=Yugoslavia
0.4750077138202745 0.18540616410206012 native-country=El-Salvador
0.9616457442712877 -0.6004528373528569 native-country=Trinadad&Tobago
0.1668544985709152 -1.6824618316836222 native-country=Peru
0.3757359202555362 0.42143933373065295 native-country=Hong
1.1776191809875676 0.010366636004042775 native-country=Holand-Netherlands
Hidden Weights:
-4.302299100048624 4.302299100048625
4.165270967691208 -4.165270967691203
>50K <=50K
Error sum for iteration 4300 = 728.3353282633683
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4829376780220823 10.183854148517206 age
0.5363246334293361 0.061223581618180443 workclass=Private
1.399460051266487 0.6771137323824471 workclass=Self-emp-not-inc
0.2100109671380288 1.9865456714166858 workclass=Self-emp-inc
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0.5653096755187633 -0.8489772918129479 workclass=State-gov
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0.2890327470074301 0.11375636982284114 education=Bachelors
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1.4073841368871998 1.8297671066340127 education=11th
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2.6336617833694618 1.4140230204839666 education=12th
0.10775226665415492 -0.5002503573774462 education=Masters
2.893522899977808 -0.016198859614962383 education=1st-4th
0.7646219006164945 0.475913711403181 education=10th
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0.6888382417974142 0.6312925043062997 education=Preschool
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1.309398791280477 -0.5683911009814746 marital-status=Married-spouse-absent
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1.7156217319306186 0.8138421484940623 occupation=Farming-fishing
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0.4417378690763118 -0.9933150568143182 relationship=Husband
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0.4854359171406373 1.0613624607770344 relationship=Other-relative
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3.5635245799978614 1.029902800982811 race=Other
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0.024590322807582117 1.1806822850340835 sex
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2.6549630667121034 0.29416961194167385 native-country=India
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1.8018748796537924 0.4748905441334382 native-country=Greece
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1.0811352385844002 0.767031387315655 native-country=Mexico
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1.400693046053022 -0.7614128416861494 native-country=Laos
0.5609853693962233 -0.9533185608339715 native-country=Ecuador
0.03120095501012361 0.46507644000460246 native-country=Taiwan
2.131367074748135 0.40663828665387153 native-country=Haiti
3.6846247102747474 -1.1344858637031587 native-country=Columbia
0.0023115951872112943 0.9167668141118883 native-country=Hungary
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1.7433056480189735 0.49374466737040873 native-country=Nicaragua
0.4498980890498155 0.6827186159554383 native-country=Scotland
1.6854619968223619 0.5181350520835608 native-country=Thailand
1.0592341811033301 0.9074855068795789 native-country=Yugoslavia
0.4660545487524661 0.15168290259954545 native-country=El-Salvador
0.9616531624441267 -0.5977254678396744 native-country=Trinadad&Tobago
0.15126508718839668 -1.698246784645343 native-country=Peru
0.37569142767338604 0.42241959249048516 native-country=Hong
1.1779732064259734 0.010648105259784463 native-country=Holand-Netherlands
Hidden Weights:
-4.298154693092228 4.298154693092229
4.203179654738416 -4.2031796547384195
>50K <=50K
Error sum for iteration 4400 = 727.186744839105
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4815797586257825 10.256486403035828 age
0.5370224256127533 0.05419480054741425 workclass=Private
1.4040425453677494 0.7024497984535812 workclass=Self-emp-not-inc
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0.23804818455561363 -0.6733545684332286 occupation=Adm-clerical
1.7165319830895742 0.8380397335386889 occupation=Farming-fishing
0.3958179597229571 -0.21720595098178505 occupation=Transport-moving
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0.831814882435473 1.7356539136056903 race=Amer-Indian-Eskimo
3.5810132810337785 1.0424032063360096 race=Other
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0.018485685580424332 1.1676735473107145 sex
-5.479427890817517 0.033404299416832504 capital-gain
-2.6830627831184612 -1.5513753071124927 capital-loss
-3.2064508555479927 -2.3896807031409195 hours-per-week
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0.63287691908869 -0.012749421053822634 native-country=Outlying-US(Guam-USVI-etc)
2.6822932463824722 0.33658613710610186 native-country=India
2.7026104748329667 0.9478077797034806 native-country=Japan
1.8097098538665413 0.4736949099271355 native-country=Greece
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1.4042726016860887 0.8722178045023794 native-country=China
1.137195977569293 -0.30007613127326893 native-country=Cuba
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0.8823584737412052 -0.6695791989655515 native-country=Poland
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1.2345690339819282 2.043552655548997 native-country=Vietnam
1.0986099363331057 0.809604210701992 native-country=Mexico
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1.394080642450686 -0.7559168344722681 native-country=Laos
0.569157230658266 -0.9513645025058306 native-country=Ecuador
0.041912806366477304 0.4754527731591263 native-country=Taiwan
2.1537674474504023 0.40118691445419 native-country=Haiti
3.682562470430781 -1.1301058173471168 native-country=Columbia
0.002621745193507065 0.916943142826196 native-country=Hungary
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0.45358433974091517 0.6827915409246681 native-country=Scotland
1.6973672615146325 0.5290592233086988 native-country=Thailand
1.0678632405468163 0.9073749725191812 native-country=Yugoslavia
0.45602324315415815 0.1171758360104528 native-country=El-Salvador
0.961687719606205 -0.5951343946333231 native-country=Trinadad&Tobago
0.13677437460390277 -1.7140722244571893 native-country=Peru
0.37560671477600405 0.42328837852947615 native-country=Hong
1.1782833564322706 0.010824433974090362 native-country=Holand-Netherlands
Hidden Weights:
-4.294086254775561 4.29408625477556
4.240760351955337 -4.240760351955331
>50K <=50K
Error sum for iteration 4500 = 726.1334636045399
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48098125247015433 10.328964930576237 age
0.5382303114594799 0.04962114196160568 workclass=Private
1.408651024936918 0.7278804982115423 workclass=Self-emp-not-inc
0.2074777491896556 2.028899030367786 workclass=Self-emp-inc
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1.3929243400048468 1.8040254172337518 education=11th
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0.11016830794697653 -0.4882138423449084 education=Masters
2.9489145189868604 -0.01986484304001876 education=1st-4th
0.7555933926860502 0.5074187473525503 education=10th
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0.6996718201184875 0.630277972128325 education=Preschool
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1.3374868452660078 1.3983101094359482 marital-status=Never-married
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1.3204723769448092 -0.5948914368608658 marital-status=Married-spouse-absent
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0.2377883799142622 -0.6736114153132798 occupation=Adm-clerical
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3.5977610341531583 1.0541765749721004 race=Other
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0.012659861776411973 1.1546332378807767 sex
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0.05357056580607412 0.48387174426517854 native-country=Taiwan
2.1754376893928753 0.39574222182266544 native-country=Haiti
3.6804642456509282 -1.1258103765514011 native-country=Columbia
0.0028875169416312935 0.9170135537631476 native-country=Hungary
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1.7738903724780086 0.486893558182908 native-country=Nicaragua
0.4572332395642712 0.6827601819497395 native-country=Scotland
1.7071375892197482 0.5394442298907209 native-country=Thailand
1.0763363383709246 0.9071641005777877 native-country=Yugoslavia
0.44498267347211673 0.08197087838668046 native-country=El-Salvador
0.9617592755691741 -0.5926913934070115 native-country=Trinadad&Tobago
0.1233051342427927 -1.7299010323074417 native-country=Peru
0.37548855922258484 0.42403081349601535 native-country=Hong
1.1785491281803602 0.01089484491105334 native-country=Holand-Netherlands
Hidden Weights:
-4.290274916354182 4.290274916354185
4.2780178051958275 -4.278017805195829
>50K <=50K
Error sum for iteration 4600 = 725.1703064373975
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48096859462534736 10.401332294938337 age
0.5397830084788103 0.046833152880429135 workclass=Private
1.4132046138420966 0.7533448943766212 workclass=Self-emp-not-inc
0.20637869557644503 2.045751769602479 workclass=Self-emp-inc
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2.6760721903231626 1.4640699947212015 education=12th
0.11258513109302139 -0.47743282105563256 education=Masters
2.9753633651229796 -0.0217295512913765 education=1st-4th
0.7508841586067053 0.5221441408269892 education=10th
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0.7049374664289486 0.6296352037691507 education=Preschool
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3.6138327981671754 1.0652648198844716 race=Other
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0.007117989083117868 1.1418194549025453 sex
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2.7330713329978655 0.42094987844580334 native-country=India
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1.8248001221877639 0.4714366786664831 native-country=Greece
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1.2677832443410937 2.148415185530226 native-country=Vietnam
1.131381049338886 0.8884461883095186 native-country=Mexico
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1.3808321125860754 -0.7449444123873328 native-country=Laos
0.5854667860944727 -0.9475757072256616 native-country=Ecuador
0.06558978167891061 0.4906141574159692 native-country=Taiwan
2.1964240723711734 0.3903032631559696 native-country=Haiti
3.6783345264006675 -1.1215905210805774 native-country=Columbia
0.0031121071223569547 0.9169864366477141 native-country=Hungary
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1.7887071745419763 0.48338196987820803 native-country=Nicaragua
0.46084697362326943 0.6826329921101524 native-country=Scotland
1.7149475459393668 0.549337824529176 native-country=Thailand
1.0846608387128063 0.9068613318375642 native-country=Yugoslavia
0.432978722158755 0.0461586391522158 native-country=El-Salvador
0.9618754678065145 -0.5903935635396691 native-country=Trinadad&Tobago
0.11076456226017267 -1.745639655336074 native-country=Peru
0.3753446482377349 0.4246466560467232 native-country=Hong
1.178773718360964 0.010867727795638035 native-country=Holand-Netherlands
Hidden Weights:
-4.286810504562326 4.286810504562324
4.3149240176041 -4.314924017604095
>50K <=50K
Error sum for iteration 4700 = 724.2851308552189
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4814087578892426 10.473584392052862 age
0.5415635840256074 0.04534990995146782 workclass=Private
1.4176507533693128 0.7787990667259468 workclass=Self-emp-not-inc
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0.710129136410929 0.6289145845324778 education=Preschool
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1.1745630157557065 0.8518331520463919 marital-status=Divorced
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1.4586981724882773 2.014945877011813 relationship=Own-child
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0.8262459685138812 1.80356322128356 race=Amer-Indian-Eskimo
3.6292860272020633 1.075712739350527 race=Other
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0.0018453448427071563 1.129368851746536 sex
-5.541923800322474 -0.017708522551917207 capital-gain
-2.699616125455672 -1.6080398719414415 capital-loss
-3.182591547065215 -2.2980226155108587 hours-per-week
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2.7566364983603147 0.4628515532257524 native-country=India
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1.8320839380062706 0.47037072115263817 native-country=Greece
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1.4501729335543427 1.0386504194026853 native-country=China
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1.2812865903293993 2.1981782398922274 native-country=Vietnam
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1.3741976754064287 -0.7394407573593115 native-country=Laos
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2.216772520391085 0.3848701866964953 native-country=Haiti
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0.42004311962879415 0.009828795424333457 native-country=El-Salvador
0.9620419176639857 -0.5882330105048015 native-country=Trinadad&Tobago
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Hidden Weights:
-4.283725688787622 4.283725688787624
4.3514321405754615 -4.351432140575458
>50K <=50K
Error sum for iteration 4800 = 723.4710840556947
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48220396857317627 10.545692588648658 age
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3.644170807780383 1.0855636888355766 race=Other
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3.6740069196687597 -1.1133373289079815 native-country=Columbia
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1.7255677700180885 0.5678099540025038 native-country=Thailand
1.1008961865006475 0.9060218821945287 native-country=Yugoslavia
0.406201150994779 -0.026932108797526156 native-country=El-Salvador
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0.08813470709852501 -1.7764113236567998 native-country=Peru
0.3750063015138502 0.42552255068650097 native-country=Hong
1.1791164281734208 0.010562904075420217 native-country=Holand-Netherlands
Hidden Weights:
-4.281022310484953 4.281022310484955
4.3874872668986225 -4.387487266898623
>50K <=50K
Error sum for iteration 4900 = 722.722399079986
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4832802113009169 10.617614666213344 age
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1.8314522379328682 0.47259307499265707 native-country=Nicaragua
0.4715097108591948 0.6817799349762592 native-country=Scotland
1.7288169992176041 0.576454182533383 native-country=Thailand
1.1088220385746521 0.9055037754218619 native-country=Yugoslavia
0.39147771092109956 -0.06404111172913202 native-country=El-Salvador
0.9625382061237507 -0.5842877076156419 native-country=Trinadad&Tobago
0.07790827646377858 -1.791241505900973 native-country=Peru
0.3748223967831629 0.4257972712104697 native-country=Hong
1.179242656655735 0.01030403380003944 native-country=Holand-Netherlands
Hidden Weights:
-4.278686720090245 4.2786867200902465
4.423033512959113 -4.423033512959112
>50K <=50K
Error sum for iteration 5000 = 722.0323542567355
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48457703996410323 10.689301422700883 age
0.5475354249573183 0.04564887822229733 workclass=Private
1.4300319280606 0.854437487778548 workclass=Self-emp-not-inc
0.20236980249904754 2.0898288464117813 workclass=Self-emp-inc
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0.9509083274384691 -0.2855123520809064 workclass=Local-gov
0.5608111357830841 -0.918215471619037 workclass=State-gov
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0.2941995983214438 0.143738409627554 education=Bachelors
0.43903130906583393 -0.29212408941572804 education=Some-college
1.35851788122351 1.74081678206495 education=11th
0.22669330007120983 -0.14381740792636916 education=HS-grad
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0.4849485825420678 0.6107219708375096 education=9th
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2.7242330548500058 1.5301087574087153 education=12th
0.1251827800902069 -0.4239502054815576 education=Masters
3.0739287595529743 -0.028909825215821947 education=1st-4th
0.7308607696111004 0.5760078057623738 education=10th
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0.7254281994247113 0.6263818604201058 education=Preschool
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1.1765072633874312 0.8544049952658131 marital-status=Divorced
1.3325491148707846 1.4008921462296522 marital-status=Never-married
0.2666820455027158 -0.030994525576796418 marital-status=Separated
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1.3474221817580165 -0.6526287752868928 marital-status=Married-spouse-absent
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0.2428413555839076 -0.6485135475806435 occupation=Adm-clerical
1.7081108763158355 0.9356318904324707 occupation=Farming-fishing
0.36860945507565995 -0.31870139858664 occupation=Transport-moving
1.378715640207347 0.1510414482026542 occupation=Priv-house-serv
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1.4693385614213028 2.055616537093165 relationship=Own-child
0.40866243244961953 -1.120919766673167 relationship=Husband
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0.4837171678060999 1.040144001388362 relationship=Other-relative
0.13220065562399336 1.4680505133141128 relationship=Unmarried
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0.8177213075105119 1.862457417962305 race=Amer-Indian-Eskimo
3.6724050437087508 1.103632522483788 race=Other
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-5.59835055369285 -0.06419880475379194 capital-gain
-2.7182468736601093 -1.6775197712753285 capital-loss
-3.15348193631886 -2.19625024526089 hours-per-week
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0.7159762350154953 -0.9230755050965294 native-country=England
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2.8206544510381417 0.5870942351913813 native-country=India
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1.8530367137584283 0.46744673338711645 native-country=Greece
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1.4859182308297527 1.1983939409584057 native-country=China
1.1294676238505248 -0.35164713784822765 native-country=Cuba
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1.3114799343773038 2.337022388738031 native-country=Vietnam
1.1903084329651783 1.0296327233627354 native-country=Mexico
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1.3542639725616654 -0.7227365909918844 native-country=Laos
0.6180541914029052 -0.9402465673442062 native-country=Ecuador
0.110766399059325 0.5053649046131141 native-country=Taiwan
2.2744096194617267 0.3685983266724432 native-country=Haiti
3.669637895432238 -1.1052843031805581 native-country=Columbia
0.003681844446104437 0.9161030828078454 native-country=Hungary
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1.845174938453892 0.4689411281634702 native-country=Nicaragua
0.47501465375342644 0.6813676181146106 native-country=Scotland
1.7309582974847286 0.5847404340560878 native-country=Thailand
1.116629194214609 0.9049300128787335 native-country=Yugoslavia
0.3759020598619829 -0.1014186510778043 native-country=El-Salvador
0.9628694146199377 -0.5824853078073318 native-country=Trinadad&Tobago
0.06833373116067562 -1.8055860740944305 native-country=Peru
0.37463403479059315 0.4259723986665058 native-country=Hong
1.179343455684687 0.009984373955788557 native-country=Holand-Netherlands
Hidden Weights:
-4.276697852928085 4.2766978529280815
4.458018587689736 -4.458018587689724
>50K <=50K
Error sum for iteration 5100 = 721.3955346962318
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4860400098287795 10.760701556542873 age
0.5495682044017327 0.04662171857049605 workclass=Private
1.4337670085521697 0.8790850531885014 workclass=Self-emp-not-inc
0.20135928742634768 2.095847977163321 workclass=Self-emp-inc
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0.5587000634386521 -0.9293989576040684 workclass=State-gov
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0.2953815274165221 0.14930970049968814 education=Bachelors
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1.3518958390942184 1.7290572825270727 education=11th
0.22779632005302639 -0.1316840335104766 education=HS-grad
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2.7350871078774834 1.5464127407286614 education=12th
0.12856182411671788 -0.4099935598768303 education=Masters
3.096947561934944 -0.030588308887248443 education=1st-4th
0.7256306685224122 0.5883836643775671 education=10th
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0.7304834921830585 0.6254411492552138 education=Preschool
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1.3536782179575502 -0.6624458254082397 marital-status=Married-spouse-absent
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0.244778392059236 -0.6396958524249586 occupation=Adm-clerical
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3.6858276559497325 1.111920695159445 race=Other
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2.839909017439456 0.6279114942865343 native-country=India
2.8297035563341777 1.0436841867334674 native-country=Japan
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1.2040157134649148 1.0626249252631998 native-country=Mexico
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1.3476097977270725 -0.7170831927673177 native-country=Laos
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0.12060996015299738 0.5067583011831132 native-country=Taiwan
2.2926101327010695 0.363176215594336 native-country=Haiti
3.6674567393504134 -1.1013224158562824 native-country=Columbia
0.003760126500485798 0.9157285960888522 native-country=Hungary
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1.7321653426263846 0.5926919042668766 native-country=Thailand
1.1243241806332824 0.9043063279097425 native-country=Yugoslavia
0.35951159067992433 -0.13898831316089408 native-country=El-Salvador
0.9632536765806329 -0.5807849432931664 native-country=Trinadad&Tobago
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0.37444429760206394 0.4260539061088137 native-country=Hong
1.1794217377390965 0.009609887236776278 native-country=Holand-Netherlands
Hidden Weights:
-4.275031293111309 4.2750312931113115
4.492396824800231 -4.492396824800222
>50K <=50K
Error sum for iteration 5200 = 720.8046859754095
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4876154720390035 10.831765681272715 age
0.5515576486616864 0.04775627263581044 workclass=Private
1.4372764184883524 0.9032515852744183 workclass=Self-emp-not-inc
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2.8581865182445982 0.6683701502550129 native-country=India
2.845798419430974 1.0557342821982234 native-country=Japan
1.8664023326027306 0.46573797687155233 native-country=Greece
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1.5061464584222717 1.299744772861004 native-country=China
1.1316913385759806 -0.36578818401022756 native-country=Cuba
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0.9383583778021966 -0.5924231671375859 native-country=Honduras
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0.9180697961482273 -0.7546179621716472 native-country=Poland
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1.324875107304257 2.4214932131237195 native-country=Vietnam
1.2174085209349466 1.0949377921242505 native-country=Mexico
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1.340950295440337 -0.7113810930355331 native-country=Laos
0.6343781046367919 -0.9365958954016915 native-country=Ecuador
0.12980080111909711 0.507432003941673 native-country=Taiwan
2.3103591371857366 0.35774936635512056 native-country=Haiti
3.665287640986234 -1.0974013023219151 native-country=Columbia
0.003818410573203585 0.9153041482347336 native-country=Hungary
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1.8718943473589607 0.4616012855810674 native-country=Nicaragua
0.48196610145611624 0.6803892350994876 native-country=Scotland
1.7325912122920768 0.6003290025472653 native-country=Thailand
1.131913463011419 0.9036373334185798 native-country=Yugoslavia
0.34235474710166597 -0.1766767452437665 native-country=El-Salvador
0.9636869455064301 -0.5791779922125334 native-country=Trinadad&Tobago
0.050964112887864496 -1.832553951927902 native-country=Peru
0.37425573370479204 0.42604695447464225 native-country=Hong
1.1794800218117465 0.009185439382699136 native-country=Holand-Netherlands
Hidden Weights:
-4.2736612783198895 4.273661278319889
4.526131264237807 -4.5261312642377955
>50K <=50K
Error sum for iteration 5300 = 720.2544763839351
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48924718861535826 10.902449564641257 age
0.5534707642994978 0.048910934064371706 workclass=Private
1.440544634104604 0.9268103666489287 workclass=Self-emp-not-inc
0.19919826812251828 2.102822557618932 workclass=Self-emp-inc
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0.5542556206825042 -0.9509795683595408 workclass=State-gov
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1.3388167563152071 1.7068590221660649 education=11th
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0.1352484909162662 -0.38270147296972434 education=Masters
3.141252614046786 -0.03377843482678625 education=1st-4th
0.714978383304359 0.6119454287974032 education=10th
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0.7406000302516754 0.6234547689746395 education=Preschool
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1.3679160679000404 -0.6800371501162308 marital-status=Married-spouse-absent
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1.4809023976972178 2.094689247427913 relationship=Own-child
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0.8080703989831781 1.9140297914440383 race=Amer-Indian-Eskimo
3.711440323173697 1.1271558037322782 race=Other
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0.6425534965079958 -0.9347592047960408 native-country=Ecuador
0.1383617189059939 0.5074560149597809 native-country=Taiwan
2.327684835688459 0.3523135044951944 native-country=Haiti
3.6631376885042277 -1.0935206123813097 native-country=Columbia
0.0038588947387579275 0.9148337250869953 native-country=Hungary
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0.48541709847268294 0.679832023088174 native-country=Scotland
1.7323699399585333 0.6076696844045029 native-country=Thailand
1.1394035884351053 0.9029267453075235 native-country=Yugoslavia
0.3244931357095347 -0.214413787982968 native-country=El-Salvador
0.9641635070253735 -0.5776556169051527 native-country=Trinadad&Tobago
0.043094342434630284 -1.8450785275455777 native-country=Peru
0.37407050075818005 0.4259559714690512 native-country=Hong
1.179520505977353 0.008715016234957082 native-country=Holand-Netherlands
Hidden Weights:
-4.272561713097893 4.272561713097891
4.559195127490868 -4.559195127490852
>50K <=50K
Error sum for iteration 5400 = 719.7401734098796
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4908742385746936 10.972716322226518 age
0.5552768773358795 0.04995420871376051 workclass=Private
1.443557600572103 0.9496383847215176 workclass=Self-emp-not-inc
0.1980090327329431 2.104016109032245 workclass=Self-emp-inc
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2.7655409009454877 1.5945956554155376 education=12th
0.13850083615138054 -0.36955980960290247 education=Masters
3.162588914448542 -0.035285789111167344 education=1st-4th
0.7095684047994208 0.623153692463317 education=10th
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0.7456821681267747 0.6224203790346494 education=Preschool
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0.14633185611738267 0.5068933192155124 native-country=Taiwan
2.344612550537519 0.34686406801252534 native-country=Haiti
3.6610137348899325 -1.0896806791890177 native-country=Columbia
0.0038835311142088502 0.9143206621017843 native-country=Hungary
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1.731618377448107 0.6147297387319155 native-country=Thailand
1.1468012807697439 0.9021776169132385 native-country=Yugoslavia
0.30600284206982903 -0.2521328014206046 native-country=El-Salvador
0.9646762093605894 -0.5762086314704803 native-country=Trinadad&Tobago
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0.3738904835056753 0.42578479797024155 native-country=Hong
1.1795451423528103 0.008201953249765323 native-country=Holand-Netherlands
Hidden Weights:
-4.271706759750604 4.271706759750602
4.591572916049402 -4.591572916049386
>50K <=50K
Error sum for iteration 5500 = 719.2585805128106
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4924297295524886 11.042536966036481 age
0.556948074279566 0.050767380911891376 workclass=Private
1.4463031171299428 0.971621051372802 workclass=Self-emp-not-inc
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3.7355881583792043 1.140771541042354 race=Other
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-5.679294063413409 -0.13111350243679573 capital-gain
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-3.099795175814253 -2.0204041516576074 hours-per-week
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2.9075644930342555 0.7872015704447226 native-country=India
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1.885959273073153 0.4635442269279721 native-country=Greece
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1.1362758639348558 -0.38288234788546704 native-country=Cuba
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1.3380904432594014 2.5376218178189633 native-country=Vietnam
1.2560959591342111 1.1884758525753465 native-country=Mexico
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1.3209345129969985 -0.6939699953150592 native-country=Laos
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0.2869749674918331 -0.28977112623210566 native-country=El-Salvador
0.965216803651552 -0.574827372890504 native-country=Trinadad&Tobago
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Hidden Weights:
-4.271071288574583 4.27107128857458
4.623261303284368 -4.623261303284366
>50K <=50K
Error sum for iteration 5600 = 718.8020812795369
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4938398505161639 11.111888181895809 age
0.5584607401172131 0.051252103335943176 workclass=Private
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Hidden Weights:
-4.270631254853963 4.27063125485396
4.6542699076708445 -4.65426990767084
>50K <=50K
Error sum for iteration 5700 = 718.3647450883027
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49502286533876905 11.180745412029086 age
0.5597983363512924 0.051343567751221314 workclass=Private
1.4509566793007362 1.0126532896693603 workclass=Self-emp-not-inc
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1.727126628566286 0.634359732293848 native-country=Thailand
1.1685105889948844 0.8997266794524268 native-country=Yugoslavia
0.24774395238787192 -0.36457820837077526 native-country=El-Salvador
0.9663465487545793 -0.5722199036112277 native-country=Trinadad&Tobago
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1.1795417971633402 0.006437558149801644 native-country=Holand-Netherlands
Hidden Weights:
-4.2703638345298724 4.2703638345298724
4.6846218275116085 -4.6846218275116
>50K <=50K
Error sum for iteration 5800 = 717.9432761502184
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49588800279453527 11.249068580269869 age
0.5609555651672171 0.051029841597006 workclass=Private
1.4528578319759737 1.0315400752653046 workclass=Self-emp-not-inc
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3.242964830187248 -0.040661644623449074 education=1st-4th
0.687457096522798 0.6644355626629792 education=10th
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0.7663786434233325 0.6181440599179552 education=Preschool
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-2.0408436644860677 1.7365424249825583 marital-status=Married-civ-spouse
1.1838567371322615 0.8758792825661396 marital-status=Divorced
1.3240070547564313 1.4089380069732547 marital-status=Never-married
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1.4184198777002688 -0.7093909405498242 marital-status=Married-spouse-absent
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0.1443302107737034 -1.3695588903790505 occupation=Machine-op-inspct
0.26429215029999853 -0.5574163484475266 occupation=Adm-clerical
1.6830757147284436 0.9847100278921412 occupation=Farming-fishing
0.34794101430653795 -0.38482947978423276 occupation=Transport-moving
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1.4999851631203982 2.157295437527409 relationship=Own-child
0.38679919541132374 -1.240202635651019 relationship=Husband
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0.4705017495380638 0.9874610880313139 relationship=Other-relative
0.12458861696075682 1.5357801803001212 relationship=Unmarried
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0.7915670651630421 1.9875829822619335 race=Amer-Indian-Eskimo
3.7694641557533064 1.1585353218629917 race=Other
-0.5417928541191036 -1.1102737052419192 race=Black
-0.04340840754070317 1.027852606005549 sex
-5.720943335840273 -0.1640339810127752 capital-gain
-2.7565093480263463 -1.8524336269070971 capital-loss
-3.067564734615776 -1.9182509816540363 hours-per-week
-0.1546578392034832 0.6202937992506888 native-country=United-States
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0.6795495097837405 -1.2792295917077035 native-country=England
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0.7226876792590906 -0.0768056544629868 native-country=Outlying-US(Guam-USVI-etc)
2.949719425457434 0.9013780624610275 native-country=India
2.9346248025222366 1.1204797701990916 native-country=Japan
1.9055974309911636 0.46180717295205254 native-country=Greece
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1.5556068842635105 1.5723190826564017 native-country=China
1.141580107000156 -0.39417681862689014 native-country=Cuba
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0.9745739935101063 -0.536076144502377 native-country=Honduras
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0.9322583964522025 -0.8243253464620637 native-country=Poland
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1.3459431932407524 2.6430067202318717 native-country=Vietnam
1.2933302833207672 1.2775270669634529 native-country=Mexico
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1.3008582206485766 -0.6760904971419562 native-country=Laos
0.6835994026785143 -0.9253699658681858 native-country=Ecuador
0.17339427663504606 0.4999257572055979 native-country=Taiwan
2.40875220813183 0.3248568560891333 native-country=Haiti
3.652910831975723 -1.0747338144902765 native-country=Columbia
0.0038598241342619488 0.911906544873037 native-country=Hungary
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0.5025129552537565 0.676499242149859 native-country=Scotland
1.725130679480581 0.6404276683334825 native-country=Thailand
1.1756107241664633 0.8988543156905996 native-country=Yugoslavia
0.22779245583756605 -0.4016464415132157 native-country=El-Salvador
0.9669198585677033 -0.5709699897445184 native-country=Trinadad&Tobago
0.010874304488879785 -1.8973861047694718 native-country=Peru
0.3732581366328429 0.42437209635792983 native-country=Hong
1.179521435372925 0.005787836021093367 native-country=Holand-Netherlands
Hidden Weights:
-4.270246854837585 4.270246854837585
4.7143533585240815 -4.7143533585240744
>50K <=50K
Error sum for iteration 5900 = 717.5325655653136
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49633535048006916 11.316778388855838 age
0.5619436938800243 0.05037589626182473 workclass=Private
1.4544820840823949 1.049256426778143 workclass=Self-emp-not-inc
0.19028327024871847 2.091583218862288 workclass=Self-emp-inc
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0.9563633584775427 -0.34918423588895525 workclass=Local-gov
0.541678394884443 -1.0075991731776537 workclass=State-gov
0.3078315366314952 -0.28819217818161746 workclass=Without-pay
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0.30555393861161834 0.19737893590404004 education=Bachelors
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1.299770652766812 1.6523114553401779 education=11th
0.2329003885700859 -0.04790275996284249 education=HS-grad
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2.8126413932738554 1.671690822218825 education=12th
0.15300253282236792 -0.31154505211650796 education=Masters
3.2619042440675505 -0.04181993086467812 education=1st-4th
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0.7716829034139848 0.6170815253169175 education=Preschool
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1.4319643909788091 -0.7121241197323294 marital-status=Married-spouse-absent
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0.7882595285069514 2.0008366583057304 race=Amer-Indian-Eskimo
3.7802077918661543 1.163829715711415 race=Other
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2.9623988201912255 0.9382292377990142 native-country=India
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1.2941563051996015 -0.6700158278917171 native-country=Laos
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2.4239744891290465 0.31930316410973114 native-country=Haiti
3.6510182865435747 -1.0710905158430721 native-country=Columbia
0.0038344043512604942 0.9112379712600671 native-country=Hungary
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1.722974927100902 0.6462812381264261 native-country=Thailand
1.182655940074192 0.8979656881938757 native-country=Yugoslavia
0.20780205802967366 -0.43843399179625325 native-country=El-Salvador
0.9674922981672033 -0.5697375855339512 native-country=Trinadad&Tobago
0.005801689714903016 -1.9059261431551635 native-country=Peru
0.3731335742380677 0.4238636370805071 native-country=Hong
1.17949601559 0.005119262408098485 native-country=Holand-Netherlands
Hidden Weights:
-4.270256804881714 4.270256804881714
4.743511552539736 -4.743511552539737
>50K <=50K
Error sum for iteration 6000 = 717.1191307389222
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4962602448803158 11.383725689153163 age
0.5627955761622513 0.04954443548751137 workclass=Private
1.4558482413215845 1.065756929607201 workclass=Self-emp-not-inc
0.18834552171330646 2.086206795583319 workclass=Self-emp-inc
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2.822160407384361 1.6865659443376815 education=12th
0.1553982245908174 -0.3019221884836441 education=Masters
3.2804197146465524 -0.042892224999559296 education=1st-4th
0.6762565875579563 0.683134979534947 education=10th
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0.7770528070762537 0.6160490206971609 education=Preschool
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1.349318677518839 2.708317451504718 native-country=Vietnam
1.3177774574360919 1.3343068255512307 native-country=Mexico
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1.2874545898434673 -0.6638700822727244 native-country=Laos
0.70011433149815 -0.9214394531497229 native-country=Ecuador
0.18495394466452264 0.49432558783124136 native-country=Taiwan
2.4388976637616078 0.3137463908431658 native-country=Haiti
3.6491956404284682 -1.067469338175204 native-country=Columbia
0.0038084275007580002 0.9105636344206938 native-country=Hungary
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1.9704149237018178 0.43280490247489883 native-country=Nicaragua
0.5093306891671562 0.6750065711950142 native-country=Scotland
1.7206908291497316 0.6519395994369708 native-country=Thailand
1.1896546303710689 0.897073582647486 native-country=Yugoslavia
0.1879183683439057 -0.4749061334973954 native-country=El-Salvador
0.9680650465003364 -0.5685066522449115 native-country=Trinadad&Tobago
0.0012273604569103494 -1.9139837908953257 native-country=Peru
0.37303045793555323 0.423312940453076 native-country=Hong
1.1794700387394799 0.004444925568763955 native-country=Holand-Netherlands
Hidden Weights:
-4.270364929624888 4.270364929624891
4.772147576550932 -4.77214757655093
>50K <=50K
Error sum for iteration 6100 = 716.6950480541685
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49556801146196106 11.449667188817614 age
0.5635666881667628 0.04879494327683818 workclass=Private
1.4569909332020117 1.081013052802876 workclass=Self-emp-not-inc
0.18632690899847196 2.0801562385678025 workclass=Self-emp-inc
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0.9591701443201041 -0.3532816384377807 workclass=Local-gov
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0.3084790530723671 -0.2895372196997228 workclass=Without-pay
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-0.009830497918457911 0.5003559380489868 fnlwgt
0.3083057168379918 0.2121388811721653 education=Bachelors
0.43734598804725466 -0.24549039267569428 education=Some-college
1.28618191767975 1.6383069894416276 education=11th
0.2330565463037743 -0.030941640043318924 education=HS-grad
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0.11842174802434531 -0.2007846533164199 education=Assoc-acdm
0.2699753774032537 -0.46374809134531514 education=Assoc-voc
0.40788974435088354 0.4122933982384725 education=9th
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2.83192790356245 1.701274928583349 education=12th
0.15756021858973934 -0.29313843132651857 education=Masters
3.2985355836422836 -0.04387232468585604 education=1st-4th
0.6707372641815347 0.6920541254039979 education=10th
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0.7824946164477353 0.6150682821037152 education=Preschool
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-2.045000734761838 1.7664945773951164 marital-status=Married-civ-spouse
1.1831088297451628 0.8783809890967179 marital-status=Divorced
1.3208242614045402 1.4161530230949162 marital-status=Never-married
0.2668986060203553 -0.0967998614052608 marital-status=Separated
0.39557980049805563 -0.7813023852567886 marital-status=Widowed
1.4632922627495535 -0.7136531051267101 marital-status=Married-spouse-absent
-0.2646811163653946 -0.30876323515277915 marital-status=Married-AF-spouse
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0.27514956273701263 -0.5179315515336288 occupation=Adm-clerical
1.6745776996941883 0.9886601053035783 occupation=Farming-fishing
0.3454014589766733 -0.3928396696629219 occupation=Transport-moving
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1.5093196638413215 2.1931516562078204 relationship=Own-child
0.38157042561273136 -1.282201010717024 relationship=Husband
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0.4681356617839701 0.9735291737044252 relationship=Other-relative
0.11839535136319478 1.5542692524168733 relationship=Unmarried
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0.7815181683272137 2.0262416878031235 race=Amer-Indian-Eskimo
3.8009630373991077 1.1736280536128705 race=Other
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-0.05148656755463994 1.0162582494054415 sex
-5.758179861563215 -0.19064689590754122 capital-gain
-2.7618045840237717 -1.899073215245621 capital-loss
-3.037034312270467 -1.8228494093852465 hours-per-week
-0.12871738274123742 0.6637140791882177 native-country=United-States
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0.647919407885605 -1.4360097530592806 native-country=England
0.06496358832315391 -0.5050825892303702 native-country=Puerto-Rico
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0.7403191723986937 -0.08786052245001807 native-country=Outlying-US(Guam-USVI-etc)
2.9859872610163136 1.0099444008584322 native-country=India
2.975350040138749 1.1483984072868845 native-country=Japan
1.926085519870865 0.46062890794423333 native-country=Greece
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1.5757240848038836 1.6890822800711167 native-country=China
1.1481558010545372 -0.3993109001145596 native-country=Cuba
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0.9942436836881716 -0.5181946005693322 native-country=Honduras
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0.9408888098089186 -0.8445231953583264 native-country=Poland
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1.3505974613059484 2.739701065737032 native-country=Vietnam
1.3299197224385735 1.3618279822364463 native-country=Mexico
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1.2807591956362108 -0.6576380271482701 native-country=Laos
0.7083985737157356 -0.919392860477734 native-country=Ecuador
0.19049683729235492 0.49112817157144556 native-country=Taiwan
2.4535338285218193 0.308209410161346 native-country=Haiti
3.6474534695003973 -1.0638537523041482 native-country=Columbia
0.003788182651422119 0.9099015127064509 native-country=Hungary
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1.9819511897918403 0.4294322388639611 native-country=Nicaragua
0.5127539869613504 0.6742721004504882 native-country=Scotland
1.7182942233745806 0.6574271046921866 native-country=Thailand
1.1966151999874288 0.8961956970462542 native-country=Yugoslavia
0.16828360726020056 -0.5110351416519878 native-country=El-Salvador
0.9686464991094713 -0.5672602769249457 native-country=Trinadad&Tobago
-0.002800410405512909 -1.921688818382597 native-country=Peru
0.37295591920724547 0.42273714759960906 native-country=Hong
1.1794497938902553 0.003782803854560077 native-country=Holand-Netherlands
Hidden Weights:
-4.270532312158377 4.270532312158379
4.80030452177199 -4.800304521771984
>50K <=50K
Error sum for iteration 6200 = 716.2641646184795
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49420191529436003 11.51427218856298 age
0.5643273242213327 0.0484385807370819 workclass=Private
1.4579624832785631 1.095022929042745 workclass=Self-emp-not-inc
0.18428857110532137 2.0735853203011785 workclass=Self-emp-inc
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0.9607100694174586 -0.35430434408012146 workclass=Local-gov
0.5370219695063203 -1.0316968421015522 workclass=State-gov
0.30881780800613823 -0.2901701894121425 workclass=Without-pay
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0.3096639663490168 0.22010667331080616 education=Bachelors
0.43768490751261435 -0.23954883977825658 education=Some-college
1.279188272488186 1.632134854908335 education=11th
0.23292424881277843 -0.02313211240781789 education=HS-grad
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0.10887151799461388 -0.21934889434286672 education=Assoc-acdm
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0.40069170117645436 0.3910608998400092 education=9th
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2.842046936881483 1.7158388355193661 education=12th
0.15945582499863592 -0.2852631589219113 education=Masters
3.3162791735658 -0.04475586002663007 education=1st-4th
0.6653745191834911 0.7007074934495833 education=10th
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0.7880139299003578 0.614163808568193 education=Preschool
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-2.047295373011662 1.775442957766322 marital-status=Married-civ-spouse
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0.3930504729072211 -0.8038093850248306 marital-status=Widowed
1.4811110442128428 -0.71227446360353 marital-status=Married-spouse-absent
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0.2789078459618059 -0.5055744239106535 occupation=Adm-clerical
1.6720829853649282 0.9887208584361835 occupation=Farming-fishing
0.3451526756403023 -0.39403946159951214 occupation=Transport-moving
1.468858788535203 0.2355247869727798 occupation=Priv-house-serv
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0.7780286723884833 2.038488774682856 race=Amer-Indian-Eskimo
3.810995478038977 1.1781947451176618 race=Other
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0.7461406780173497 -0.09107938206542693 native-country=Outlying-US(Guam-USVI-etc)
2.996969625541479 1.0447639501232215 native-country=India
2.98854517506419 1.1571230216274127 native-country=Japan
1.9331610001380983 0.4604095211889556 native-country=Greece
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1.3419607930273583 1.388726715080532 native-country=Mexico
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1.274078355834612 -0.6513017633226673 native-country=Laos
0.7167026718147675 -0.9172652860674685 native-country=Ecuador
0.1959665218945396 0.4876927225069878 native-country=Taiwan
2.4678952422424376 0.30272263561299306 native-country=Haiti
3.6458031388333296 -1.0602233940298185 native-country=Columbia
0.0037815185018601543 0.9092725077895515 native-country=Hungary
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1.9933516430008433 0.42617025808802056 native-country=Nicaragua
0.5161967181834736 0.6735724132390358 native-country=Scotland
1.7157884803667673 0.6627720693518673 native-country=Thailand
1.2035452463397243 0.8953526924710372 native-country=Yugoslavia
0.14902516979005878 -0.5468003688071315 native-country=El-Salvador
0.9692527537615613 -0.5659834625622215 native-country=Trinadad&Tobago
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0.37291885844614187 0.4221560694089706 native-country=Hong
1.179443129740704 0.0031537989376803125 native-country=Holand-Netherlands
Hidden Weights:
-4.270707319095843 4.27070731909584
4.828002113089164 -4.828002113089158
>50K <=50K
Error sum for iteration 6300 = 715.8134623026349
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.49217366286740327 11.577178301476694 age
0.5651453049544576 0.04875048707102658 workclass=Private
1.4588286870312994 1.1078274116649611 workclass=Self-emp-not-inc
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1.3524461244367472 2.800243493206286 native-country=Vietnam
1.3538221571972044 1.4149795674855412 native-country=Mexico
-1.541340141545892 -0.6000106640352538 native-country=Portugal
-1.4347031890349893 2.0030803158725443 native-country=Ireland
-0.8239904995033377 -0.7742232522372806 native-country=France
-0.3065292505388606 1.985001245092379 native-country=Dominican-Republic
1.2674212545379995 -0.6448456454047374 native-country=Laos
0.7250260604031992 -0.9150375404400086 native-country=Ecuador
0.2013929101557094 0.48403714961210653 native-country=Taiwan
2.4819932633997275 0.29731893921114116 native-country=Haiti
3.6442550611130393 -1.0565585742599708 native-country=Columbia
0.0037966007225107555 0.908695897972689 native-country=Hungary
-1.4269647315633673 0.6003566968739323 native-country=Guatemala
2.0046258540418616 0.42304123390030224 native-country=Nicaragua
0.5196661246371238 0.6729267832190708 native-country=Scotland
1.7131729689749131 0.6680028071501809 native-country=Thailand
1.2104501913365546 0.8945636583782949 native-country=Yugoslavia
0.13024304267617348 -0.5821873328735703 native-country=El-Salvador
0.9699054257550142 -0.5646672399152924 native-country=Trinadad&Tobago
-0.0090070577755559 -1.9366850938296418 native-country=Peru
0.3729284863470587 0.42158800626258597 native-country=Hong
1.1794582119612749 0.002577189120817242 native-country=Holand-Netherlands
Hidden Weights:
-4.2708295256809325 4.270829525680935
4.85522619450041 -4.85522619450041
>50K <=50K
Error sum for iteration 6400 = 715.3416463121237
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4895727409222576 11.638078299698128 age
0.5660676374084083 0.04988570925898669 workclass=Private
1.459657616855274 1.1195216342683922 workclass=Self-emp-not-inc
0.1804398154500825 2.059579620940975 workclass=Self-emp-inc
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0.9638573035528216 -0.35521029039143215 workclass=Local-gov
0.5349428095364841 -1.0453854297121072 workclass=State-gov
0.309564560350877 -0.2912656043929137 workclass=Without-pay
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0.004398223876280987 0.5224346930147811 fnlwgt
0.31220631770567486 0.2368483998954894 education=Bachelors
0.4382316019206677 -0.22799188751866117 education=Some-college
1.2649873344464577 1.6215665114451139 education=11th
0.2322447362971685 -0.008764659134162155 education=HS-grad
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0.25975689841914795 -0.4882278000664621 education=Assoc-voc
0.3863217620597496 0.34809124725307594 education=9th
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2.8637084279159604 1.744621623813965 education=12th
0.16237547314646128 -0.2722353164123625 education=Masters
3.3507496549509392 -0.04623453468070479 education=1st-4th
0.6554899733399147 0.7172716347774291 education=10th
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0.7992982867764065 0.6126665536734985 education=Preschool
-3.1862242974581862 -0.513810327621715 education-num
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1.1796131976277853 0.8753671881120594 marital-status=Divorced
1.3177912275131505 1.4245928764668945 marital-status=Never-married
0.2602320919444157 -0.13015684246168677 marital-status=Separated
0.3878720431641003 -0.8476057476461959 marital-status=Widowed
1.5204911340872012 -0.7050999219396064 marital-status=Married-spouse-absent
-0.29214493149729853 -0.27442799346091784 marital-status=Married-AF-spouse
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0.8973252297995162 0.7161710964436439 occupation=Other-service
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0.15661353644400536 -1.3465569385920952 occupation=Machine-op-inspct
0.2861495137606821 -0.48367123494454506 occupation=Adm-clerical
1.6676805833367658 0.9872463347442468 occupation=Farming-fishing
0.3452015431472756 -0.39537211242013703 occupation=Transport-moving
1.483155040533398 0.24977144813432275 occupation=Priv-house-serv
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1.515968874567808 2.227262225420071 relationship=Own-child
0.37828148058057315 -1.3206188387207454 relationship=Husband
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0.4686721862450925 0.9652117631153224 relationship=Other-relative
0.11130690925121584 1.5709217989964919 relationship=Unmarried
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0.7707756586974562 2.0622767572599283 race=Amer-Indian-Eskimo
3.830401069882717 1.1868169703327347 race=Other
-0.5954071229195776 -1.2956433175391582 race=Black
-0.056542215893689136 1.0126482198115623 sex
-5.79117615151665 -0.2107021997521576 capital-gain
-2.763128579917568 -1.9351714270017446 capital-loss
-3.0105683952892335 -1.739809052640271 hours-per-week
-0.10532711005592536 0.6985771617025055 native-country=United-States
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0.6079370976688407 -1.5957192033007583 native-country=England
0.07460848775858062 -0.5392887372978753 native-country=Puerto-Rico
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0.7577958536895102 -0.09676681536317161 native-country=Outlying-US(Guam-USVI-etc)
3.01743310704059 1.1122267731410622 native-country=India
3.01445790784314 1.1737730413111482 native-country=Japan
1.9475190772956943 0.4603037892969469 native-country=Greece
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1.592674557581717 1.7922974235250635 native-country=China
1.1578202479749584 -0.40025237634915684 native-country=Cuba
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0.9544146428307837 -0.8478186033015533 native-country=Poland
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1.3530525422951927 2.829516360605671 native-country=Vietnam
1.365405865867663 1.4405725992353455 native-country=Mexico
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1.2607961457866257 -0.6382615066621221 native-country=Laos
0.733364999656298 -0.9126972576650991 native-country=Ecuador
0.20676484651582916 0.4801875941550821 native-country=Taiwan
2.4958366876249647 0.2920269837093094 native-country=Haiti
3.642816495671046 -1.0528453926498977 native-country=Columbia
0.0038400276638075556 0.9081844510772933 native-country=Hungary
-1.427752932581364 0.5946995580912721 native-country=Guatemala
2.0157798595553045 0.42006052770496133 native-country=Nicaragua
0.5231671800969456 0.6723479731599389 native-country=Scotland
1.7104547605770573 0.6731428506845435 native-country=Thailand
1.2173319998868073 0.8938412237688397 native-country=Yugoslavia
0.11200181367519157 -0.6171851244354636 native-country=El-Salvador
0.9706271304799704 -0.5633116712104159 native-country=Trinadad&Tobago
-0.011124727381550386 -1.94430132015649 native-country=Peru
0.3729921315378301 0.4210453370521957 native-country=Hong
1.1795016389026105 0.0020657422254158433 native-country=Holand-Netherlands
Hidden Weights:
-4.270840013288379 4.27084001328838
4.8819309195458285 -4.881930919545828
>50K <=50K
Error sum for iteration 6500 = 714.8519733938446
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48654213799527135 11.696788081497928 age
0.5671125589242703 0.05185365466844637 workclass=Private
1.4605066025014948 1.1302484102905197 workclass=Self-emp-not-inc
0.17874297163850603 2.0524951546328123 workclass=Self-emp-inc
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0.5342689803892501 -1.0512125932801857 workclass=State-gov
0.30998296349643584 -0.291711154246342 workclass=Without-pay
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0.008939865346625926 0.5310167899216351 fnlwgt
0.3133487275243116 0.24540161172810537 education=Bachelors
0.4383469370098311 -0.22269485510552448 education=Some-college
1.2579633193089033 1.6171994338385853 education=11th
0.23173778486064367 -0.0020936111720211872 education=HS-grad
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0.3791980533363129 0.3265755351871013 education=9th
0.1370376268374818 1.026740763434709 education=7th-8th
2.875381652103007 1.7588739222397192 education=12th
0.16341589274971866 -0.26689626509092307 education=Masters
3.367508114528931 -0.0468392012280857 education=1st-4th
0.6510977300176698 0.7252078162488761 education=10th
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0.8050629506681045 0.6120953558594516 education=Preschool
-3.1912818071567655 -0.5154386912967077 education-num
-2.056483218679066 1.799745104032481 marital-status=Married-civ-spouse
1.1782122810075524 0.8734964466218282 marital-status=Divorced
1.3169147206749365 1.4270862220129037 marital-status=Never-married
0.2576931804856952 -0.1413821837311787 marital-status=Separated
0.38531088707811556 -0.8687872510251098 marital-status=Widowed
1.5415641906067687 -0.6994216044216153 marital-status=Married-spouse-absent
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0.2894550819471084 -0.47447240002622304 occupation=Adm-clerical
1.6657708514086202 0.9857855707611344 occupation=Farming-fishing
0.3453521103421066 -0.39588239269561293 occupation=Transport-moving
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1.517740666633307 2.238096136675812 relationship=Own-child
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0.7670862562623374 2.0738648893712237 race=Amer-Indian-Eskimo
3.8397815983632517 1.190916476853314 race=Other
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0.7636553435363491 -0.09926344192102601 native-country=Outlying-US(Guam-USVI-etc)
3.0269568515253376 1.1448324292090908 native-country=India
3.0271876850098405 1.1817082459606565 native-country=Japan
1.954683711234908 0.4604229488043816 native-country=Greece
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1.3534891299288938 2.8581936870145306 native-country=Vietnam
1.3766203157585724 1.4655004932997269 native-country=Mexico
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1.2542088157546882 -0.6315508726700546 native-country=Laos
0.7417123317033835 -0.9102412082846286 native-country=Ecuador
0.212033318948047 0.4761817662046965 native-country=Taiwan
2.5094309341547842 0.2868666690507882 native-country=Haiti
3.6414901787646903 -1.0490782543887052 native-country=Columbia
0.0039153825039664825 0.9077423264739664 native-country=Hungary
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2.0268157054102716 0.41723432727256976 native-country=Nicaragua
0.5267013167958512 0.6718401279266483 native-country=Scotland
1.7076572940942583 0.6782083714726407 native-country=Thailand
1.2241888986348395 0.8931894440546099 native-country=Yugoslavia
0.09433186490803107 -0.6517825190781313 native-country=El-Salvador
0.9714368495272128 -0.5619254128111995 native-country=Trinadad&Tobago
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0.37311354436254185 0.4205327561591914 native-country=Hong
1.179576993742805 0.0016236176220919332 native-country=Holand-Netherlands
Hidden Weights:
-4.270692242438445 4.2706922424384475
4.9080528855813945 -4.908052885581388
>50K <=50K
Error sum for iteration 6600 = 714.3455352315192
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.48323691300290095 11.753260792735858 age
0.5682743105010428 0.054555458554859916 workclass=Private
1.4614142746946615 1.1401727885175632 workclass=Self-emp-not-inc
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-5.810780239401916 -0.22087062488645015 capital-gain
-2.7637404970311583 -1.9553867832719185 capital-loss
-2.9967066157251114 -1.694163122665062 hours-per-week
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0.7695447594018656 -0.10156214863623335 native-country=Outlying-US(Guam-USVI-etc)
3.0360445891136 1.176669531931919 native-country=India
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1.9617522795877906 0.46064925552238134 native-country=Greece
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1.6019296243421108 1.853554157998891 native-country=China
1.1663978823939276 -0.40059780190830035 native-country=Cuba
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1.3538032312607664 2.886326105797243 native-country=Vietnam
1.3874013599596735 1.489764938183215 native-country=Mexico
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1.2476621725685293 -0.6247233469443975 native-country=Laos
0.7500584363449 -0.9076738819367257 native-country=Ecuador
0.21712769878640442 0.47206481951965673 native-country=Taiwan
2.522778761404356 0.28184848130897083 native-country=Haiti
3.640274480909634 -1.0452588109413248 native-country=Columbia
0.0040229681338364185 0.9073665317874686 native-country=Hungary
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2.0377323019799314 0.41456097188934427 native-country=Nicaragua
0.5302664404406836 0.6714002258963928 native-country=Scotland
1.70482103390686 0.683208804577875 native-country=Thailand
1.231016307500449 0.8926052380383491 native-country=Yugoslavia
0.0772382770132062 -0.6859644963837151 native-country=El-Salvador
0.9723473660648007 -0.560522267107552 native-country=Trinadad&Tobago
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0.37329256838372815 0.4200487495464594 native-country=Hong
1.1796845793726571 0.0012478229356208714 native-country=Holand-Netherlands
Hidden Weights:
-4.270357934434432 4.27035793443443
4.933528285336803 -4.933528285336796
>50K <=50K
Error sum for iteration 6700 = 713.8263739712098
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.47979168077210804 11.807555853615018 age
0.569533530203105 0.05784322119100093 workclass=Private
1.4623997988130943 1.1494518154772775 workclass=Self-emp-not-inc
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0.016880759640992594 0.5487476309765827 fnlwgt
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0.8168183955330413 0.6113031827042287 education=Preschool
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1.5849891315027727 -0.6845267762761467 marital-status=Married-spouse-absent
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1.5211040205200719 2.258707751483904 relationship=Own-child
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3.8579189029414267 1.198750634136922 race=Other
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3.639164637828577 -1.041393045708885 native-country=Columbia
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1.701997136766976 0.688149181044815 native-country=Thailand
1.2378083202487216 0.8920815006166962 native-country=Yugoslavia
0.060711710591979134 -0.7197107174839216 native-country=El-Salvador
0.9733651625666455 -0.5591172152774492 native-country=Trinadad&Tobago
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0.37352597087833195 0.4195884755977513 native-country=Hong
1.1798221338019286 9.313418296087875E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.269827303633985 4.269827303633984
4.958305163992496 -4.95830516399249
>50K <=50K
Error sum for iteration 6800 = 713.2997000386824
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.47630734588810936 11.859793577914214 age
0.570866206357228 0.06156534891684587 workclass=Private
1.4634667184836292 1.1582137042148428 workclass=Self-emp-not-inc
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0.020207084171721887 0.5576009145909304 fnlwgt
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3.4158930784122385 -0.04818105012684344 education=1st-4th
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3.8666875016593387 1.202497126898457 race=Other
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3.0530459379776262 1.238031778304157 native-country=India
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0.22651622209495725 0.4636695316924032 native-country=Taiwan
2.5487420018729874 0.27224622985127506 native-country=Haiti
3.6381541927195964 -1.0374885469426707 native-country=Columbia
0.004324263839327555 0.906784592645229 native-country=Hungary
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2.059196352813312 0.4096451055506039 native-country=Nicaragua
0.5374697835843252 0.6706947244350367 native-country=Scotland
1.6992389294598849 0.6930323580697236 native-country=Thailand
1.2445589803830546 0.8916098456423501 native-country=Yugoslavia
0.04473680722445833 -0.7529961240386135 native-country=El-Salvador
0.9744917779534704 -0.5577237856885044 native-country=Trinadad&Tobago
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0.37380868247959953 0.41914617923012587 native-country=Hong
1.1799858750781338 6.658837933727698E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.269105915248954 4.2691059152489546
4.982348766056805 -4.982348766056801
>50K <=50K
Error sum for iteration 6900 = 712.7682634092688
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4728519656838933 11.910117650926995 age
0.5722489385968454 0.06558926074672017 workclass=Private
1.4646081286012662 1.1665506917497075 workclass=Self-emp-not-inc
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0.7534619651557295 2.118281543234378 race=Amer-Indian-Eskimo
3.875265517216312 1.2061359725023508 race=Other
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-0.061054902553489825 1.0122319774317268 sex
-5.8369432584634575 -0.23229713018825124 capital-gain
-2.765912607755719 -1.9814844978105248 capital-loss
-2.9818613988617324 -1.6402409593629161 hours-per-week
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0.787381403895479 -0.10753414057148115 native-country=Outlying-US(Guam-USVI-etc)
3.0610265521739817 1.2675745352632382 native-country=India
3.076584630860738 1.2108812251519174 native-country=Japan
1.9818883975999178 0.46186485153420676 native-country=Greece
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1.6133063996199783 1.934848549551652 native-country=China
1.1812546401834902 -0.4029365214082844 native-country=Cuba
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1.2282662398555373 -0.6036876319910253 native-country=Laos
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2.561362214783246 0.2676563784835845 native-country=Haiti
3.637236125697182 -1.0335528098695073 native-country=Columbia
0.00450979890927381 0.9065622082144065 native-country=Hungary
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0.029297039108813934 -0.785792776284502 native-country=El-Salvador
0.9757255076090788 -0.5563530043530198 native-country=Trinadad&Tobago
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0.3741348886185055 0.41871652382708313 native-country=Hong
1.1801714101479908 4.4349936253128193E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.268210269693064 4.268210269693066
5.0056417527660075 -5.005641752766009
>50K <=50K
Error sum for iteration 7000 = 712.2366366207576
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4694674361044248 11.958671925519287 age
0.5736612660423159 0.06980803491191377 workclass=Private
1.4658112987481193 1.174522047058698 workclass=Self-emp-not-inc
0.17285247613461688 2.021018105291302 workclass=Self-emp-inc
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0.8349386784841882 0.6108849612396797 education=Preschool
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3.883660548055314 1.2096716468366966 race=Other
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0.014376883840442877 -0.8180719499306588 native-country=El-Salvador
0.9770628308298406 -0.555013347679891 native-country=Trinadad&Tobago
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0.37449878067940073 0.4182950748088527 native-country=Hong
1.1803743559626452 2.5724597784289045E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.267163349145084 4.267163349145087
5.028181742853746 -5.028181742853746
>50K <=50K
Error sum for iteration 7100 = 711.7076404911942
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4661768551451736 12.005589096958847 age
0.5750863375775425 0.07413917222834103 workclass=Private
1.4670611238586817 1.1821617795229955 workclass=Self-emp-not-inc
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0.2379823668516436 0.45109627517682943 native-country=Taiwan
2.585900054421182 0.25887286580292534 native-country=Haiti
3.635650130639609 -1.0256130585919048 native-country=Columbia
0.004929084428351849 0.9062200262568397 native-country=Hungary
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1.6918008732291352 0.7073590000205671 native-country=Thailand
1.2645156775318684 0.8904320054902118 native-country=Yugoslavia
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0.37489498853790537 0.4178783362787222 native-country=Hong
1.1805906956669594 1.0131740500828725E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.265990817342001 4.265990817342
5.0499779622527505 -5.049977962252751
>50K <=50K
Error sum for iteration 7200 = 711.1832548988576
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.46299060978609646 12.050986779501246 age
0.5765107992781101 0.07852060182118453 workclass=Private
1.4683424017864797 1.1894870324797056 workclass=Self-emp-not-inc
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0.030019267657491012 0.5911983059479817 fnlwgt
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1.217436439132241 1.6029984286448404 education=11th
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3.475856640600889 -0.04897068075628036 education=1st-4th
0.6284158075797514 0.7755058672451438 education=10th
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0.8472907555864228 0.6110434235003376 education=Preschool
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3.899931720141799 1.2164523003239083 race=Other
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-0.06356854965873597 1.0102625073451774 sex
-5.859971865373587 -0.2399307336360396 capital-gain
-2.7693048632671684 -2.002966328106177 capital-loss
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1.999904032221024 0.46367957831756446 native-country=Greece
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1.622748457463543 2.0049358828265076 native-country=China
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1.2092124016776749 -0.5821299281127008 native-country=Laos
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Hidden Weights:
-4.26471820018104 4.264718200181037
5.07104798846133 -5.07104798846133
>50K <=50K
Error sum for iteration 7300 = 710.6654746612758
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4599108644116572 12.094967413361735 age
0.5779243663155123 0.08290632932678489 workclass=Private
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0.981651945224173 -0.5512357089476159 native-country=Trinadad&Tobago
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1.1810501861315705 -1.3777133590036066E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.263369082238819 4.263369082238819
5.091415008173585 -5.091415008173587
>50K <=50K
Error sum for iteration 7400 = 710.1559622887025
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4569346919275552 12.137619813078357 age
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1.4709453062166333 1.203218781262894 workclass=Self-emp-not-inc
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0.8156819055530684 -0.8842377736625063 native-country=Ecuador
0.24620870838492406 0.4388105137920174 native-country=Taiwan
2.621037080916456 0.2466005237710706 native-country=Haiti
3.6338109091674644 -1.0136011216411558 native-country=Columbia
0.005626448099920733 0.9058906902889501 native-country=Hungary
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2.12049637328795 0.3977673936300099 native-country=Nicaragua
0.5592540296202706 0.6694629556306779 native-country=Scotland
1.6861574308925027 0.7212447462342606 native-country=Thailand
1.283972604633008 0.889495260733368 native-country=Yugoslavia
-0.04036237645377523 -0.9414967448157213 native-country=El-Salvador
0.9833590875853047 -0.5500678539289942 native-country=Trinadad&Tobago
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0.376233644152923 0.41663255843784447 native-country=Hong
1.181288059338483 -2.2801856287063047E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.261964162684227 4.261964162684223
5.111105685327093 -5.1111056853271
>50K <=50K
Error sum for iteration 7500 = 709.6560790685579
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4540561898471417 12.17902120546102 age
0.5806899413706829 0.09156493078527407 workclass=Private
1.4722448147092992 1.2096292559668884 workclass=Self-emp-not-inc
0.16976579821054746 1.9993774435979754 workclass=Self-emp-inc
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0.03500941103105942 0.6139633115069658 fnlwgt
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3.016107624491131 1.8974027426061875 education=12th
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3.517486276375414 -0.04889841011555545 education=1st-4th
0.6206572515111807 0.7946836690233271 education=10th
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0.8661578741520977 0.6118500092895353 education=Preschool
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3.9231462758605127 1.2259688689294725 race=Other
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1.1904880153942758 -0.5603668872252997 native-country=Laos
0.8236488407678885 -0.8810567811345233 native-country=Ecuador
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2.6323302660741237 0.24272858663220281 native-country=Haiti
3.6333234362566005 -1.009582135439428 native-country=Columbia
0.00586707314103153 0.905816292470763 native-country=Hungary
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2.1302625626042486 0.39613723983306376 native-country=Nicaragua
0.5628648786096615 0.6693364045070463 native-country=Scotland
1.6847171500773337 0.7257854703923798 native-country=Thailand
1.290342122294179 0.8892192984748484 native-country=Yugoslavia
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0.985147955345608 -0.5489485413406918 native-country=Trinadad&Tobago
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0.37671856672818743 0.41621350163307586 native-country=Hong
1.181528684379606 -3.0241638104779267E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.26052093691154 4.260520936911538
5.130148586773043 -5.130148586773052
>50K <=50K
Error sum for iteration 7600 = 709.1674697513624
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.45126787810068864 12.21923922489015 age
0.5820322065426349 0.09579555644135848 workclass=Private
1.4735316719920704 1.2157384551712473 workclass=Self-emp-not-inc
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0.036398213760801275 0.6211117708285506 fnlwgt
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3.53076613491515 -0.04876545468334327 education=1st-4th
0.618160189187077 0.800780102540858 education=10th
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0.8725257041972062 0.6122588799210371 education=Preschool
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Hidden Weights:
-4.259053776455712 4.2590537764557155
5.148573061432577 -5.148573061432578
>50K <=50K
Error sum for iteration 7700 = 708.6925453697598
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4485616027842796 12.258333660100007 age
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1.4747996680992894 1.2215497748538997 workclass=Self-emp-not-inc
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0.09626825042179198 -0.6933528439810523 native-country=Puerto-Rico
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0.8353813876792034 -0.1194144667346921 native-country=Outlying-US(Guam-USVI-etc)
3.1154513829345163 1.4793074249361051 native-country=India
3.1677228765382823 1.258356731654781 native-country=Japan
2.025066148732379 0.46754096800568756 native-country=Greece
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1.6359725731800974 2.101536629754757 native-country=China
1.2197148992096818 -0.42342670213654016 native-country=Cuba
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1.1046917031677967 -0.4716668449888228 native-country=Honduras
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1.0484623297004485 -0.7629484831337658 native-country=Poland
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1.3590008542844692 3.172360516162874 native-country=Vietnam
1.4788818212674606 1.7164676891476833 native-country=Mexico
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-0.24875503116611583 2.0797359291863877 native-country=Dominican-Republic
1.1781986881341568 -0.545862703137913 native-country=Laos
0.8393898904837026 -0.8745786494319553 native-country=Ecuador
0.2517301782591474 0.42685002488631096 native-country=Taiwan
2.6543280748933182 0.2352840074517804 native-country=Haiti
3.6325157774187824 -1.001532661731241 native-country=Columbia
0.0063510618300254085 0.9057067722711664 native-country=Hungary
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2.1494244096271453 0.39313141295154147 native-country=Nicaragua
0.5700472151328954 0.6691256802544652 native-country=Scotland
1.682474539653161 0.7347477146198717 native-country=Thailand
1.3029075023484276 0.8887076336439731 native-country=Yugoslavia
-0.07651662495476431 -1.0275557118331469 native-country=El-Salvador
0.9889556543854287 -0.5468573736292448 native-country=Trinadad&Tobago
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0.37773198307195455 0.41536393270681127 native-country=Hong
1.182012673068541 -4.119365806480584E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.257574226408779 4.257574226408775
5.166408465509876 -5.166408465509872
>50K <=50K
Error sum for iteration 7800 = 708.2286595420671
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4459291060148383 12.296357902653245 age
0.5846213293531146 0.10399493572282427 workclass=Private
1.4760441402117834 1.22706843199603 workclass=Self-emp-not-inc
0.1685884922348378 1.9906972967109713 workclass=Self-emp-inc
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0.03887648314351288 0.634826868171687 fnlwgt
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3.5564883025534804 -0.04835694196567721 education=1st-4th
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0.8853629506892609 0.613273327053882 education=Preschool
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0.34624832413417456 -0.4088610075485703 occupation=Transport-moving
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1.5437863678700543 2.348658764683504 relationship=Own-child
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3.945079432245839 1.234810692599252 race=Other
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3.178398109767576 1.2634654791747437 native-country=Japan
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2.6650456800301807 0.2317028802259886 native-country=Haiti
3.6321899313215904 -0.9975043393856043 native-country=Columbia
0.006592453994036216 0.9056683669147008 native-country=Hungary
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1.6816532192391678 0.739173106313528 native-country=Thailand
1.3091045530757066 0.8884685584236991 native-country=Yugoslavia
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0.990967333776051 -0.5458851638749346 native-country=Trinadad&Tobago
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0.37825714348659234 0.4149323335549554 native-country=Hong
1.182254065232553 -4.5034193713312847E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.256091394929136 4.256091394929135
5.18368364197289 -5.1836836419728956
>50K <=50K
Error sum for iteration 7900 = 707.7751831145973
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4433623731450373 12.333360114131294 age
0.5858652002312483 0.10794869080037583 workclass=Private
1.4772617087233788 1.2323014081830659 workclass=Self-emp-not-inc
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0.03999103164148824 0.6414198007765948 fnlwgt
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3.074860611201969 1.9510301187046062 education=12th
0.16481726062396027 -0.22141759985451262 education=Masters
3.5689499709122625 -0.04808747437055126 education=1st-4th
0.6108473449781209 0.8181897610847191 education=10th
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0.8918268250471628 0.6138751794949276 education=Preschool
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3.952131448978396 1.2376275048968943 race=Other
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2.6755840669276973 0.22821070360258064 native-country=Haiti
3.6319127779482505 -0.9934745555241107 native-country=Columbia
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0.9930463681655162 -0.5449609750997721 native-country=Trinadad&Tobago
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0.37879289377864717 0.41449573303656356 native-country=Hong
1.182494143072528 -4.7959058963169206E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.254612357276891 4.254612357276891
5.200426582518892 -5.200426582518892
>50K <=50K
Error sum for iteration 8000 = 707.3322722890204
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.44085383331693967 12.369384152469257 age
0.5870743195127531 0.11179908129620005 workclass=Private
1.4784500325398156 1.237257202378079 workclass=Self-emp-not-inc
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0.3146072223449973 -0.42127053918354956 occupation=Adm-clerical
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0.731479284733603 2.2253548597143746 race=Amer-Indian-Eskimo
3.959062257713947 1.240385274660446 race=Other
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-5.910661190791453 -0.2463153164936035 capital-gain
-2.778210173660996 -2.040429655650956 capital-loss
-2.960709723858264 -1.5347055680674675 hours-per-week
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0.4182234533668997 -2.259369769488774 native-country=England
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0.8532700457215334 -0.12289404888288445 native-country=Outlying-US(Guam-USVI-etc)
3.1324789056068463 1.5489025897253785 native-country=India
3.199288429207929 1.273236165653853 native-country=Japan
2.037591953509351 0.47017337473486936 native-country=Greece
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1.642789604180055 2.1497977599442435 native-country=China
1.2314375091049523 -0.4356751592802792 native-country=Cuba
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1.0686994043126645 -0.7409198039262377 native-country=Poland
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1.3618900256376893 3.2460697988398994 native-country=Vietnam
1.4971928871534277 1.7670045712136906 native-country=Mexico
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1.1600897373090973 -0.5242541968023674 native-country=Laos
0.8625027099353548 -0.8646118882223586 native-country=Ecuador
0.2552299468839727 0.4152074354234718 native-country=Taiwan
2.6859491833873834 0.22480394090365266 native-country=Haiti
3.6316821260276773 -0.989443705187863 native-country=Columbia
0.007070835765999747 0.9056179748029899 native-country=Hungary
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0.5807056469362512 0.6688922170413261 native-country=Scotland
1.680551569888597 0.7479212431900634 native-country=Thailand
1.3213315062260516 0.8880174697367517 native-country=Yugoslavia
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0.9951894954868289 -0.5440837550007667 native-country=Trinadad&Tobago
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0.3793382426475877 0.4140539378518473 native-country=Hong
1.182732447004628 -5.007340488360659E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.253142531998421 4.25314253199842
5.21666421851879 -5.21666421851879
>50K <=50K
Error sum for iteration 8100 = 706.899716741918
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4383964646184697 12.404470301739705 age
0.5882485175995561 0.11554361112970618 workclass=Private
1.479607594930168 1.2419455048690298 workclass=Self-emp-not-inc
0.1677094184653511 1.9845121749454935 workclass=Self-emp-inc
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0.042017327025562046 0.6541358105651737 fnlwgt
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3.593120942196147 -0.04743083680304583 education=1st-4th
0.6060965699281804 0.8290727141066555 education=10th
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0.904831038240483 0.6152596642997619 education=Preschool
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1.8442094454368905 -0.5356774481710995 marital-status=Married-spouse-absent
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3.9658765097663844 1.2430873641169564 race=Other
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1.3629581916422961 3.270405680663246 native-country=Vietnam
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1.1541488696250302 -0.5171148659894474 native-country=Laos
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0.2560528416077356 0.41139913823042806 native-country=Taiwan
2.6961467370675094 0.22147928683151832 native-country=Haiti
3.631495960965437 -0.9854119961540337 native-country=Columbia
0.007307038161924738 0.9056040461819013 native-country=Hungary
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2.1863398816030193 0.3880319306949663 native-country=Nicaragua
0.5842251310793908 0.6688318261253051 native-country=Scotland
1.680245710392665 0.7522471529449736 native-country=Thailand
1.3273633267616827 0.887803470384601 native-country=Yugoslavia
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0.9973935398187227 -0.543252220323747 native-country=Trinadad&Tobago
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0.3798923750150622 0.41360684477509674 native-country=Hong
1.182968649400478 -5.146626699566159E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.251686010069438 4.25168601006944
5.23242230214194 -5.232422302141944
>50K <=50K
Error sum for iteration 8200 = 706.4774602632328
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.43598383810359564 12.438655845682037 age
0.5893879318054832 0.11918093692731964 workclass=Private
1.4807335229115108 1.2463768587862567 workclass=Self-emp-not-inc
0.167465567862605 1.9829055850219413 workclass=Self-emp-inc
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0.04294310760915911 0.6602794457364757 fnlwgt
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3.1169834956072773 1.9905631336834433 education=12th
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3.6048477109241515 -0.04704770250324101 education=1st-4th
0.6037555393941445 0.8343014761288908 education=10th
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0.9113657005535886 0.6160391052649026 education=Preschool
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1.8585298156519179 -0.5255512373057046 marital-status=Married-spouse-absent
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3.972578656864646 1.2457369107956993 race=Other
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3.1430312484583873 1.5927541566997492 native-country=India
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2.0450329540830157 0.47201170916834245 native-country=Greece
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1.364069689864215 3.294640178147397 native-country=Vietnam
1.508174770737296 1.7983311896136653 native-country=Mexico
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1.1482597233051977 -0.5100163324502242 native-country=Laos
0.8775729208804122 -0.8578259677460374 native-country=Ecuador
0.25673563219428147 0.4076287835130701 native-country=Taiwan
2.706182196182307 0.21823364150616054 native-country=Haiti
3.631352414414226 -0.9813794849115554 native-country=Columbia
0.00754091251460459 0.9055965736504746 native-country=Hungary
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2.1952915793818657 0.38692804584411356 native-country=Nicaragua
0.5877273642749589 0.6687787180274881 native-country=Scotland
1.6800860960681674 0.756542867825751 native-country=Thailand
1.3333420625786137 0.8875960920738233 native-country=Yugoslavia
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0.9996553991901664 -0.5424649074826418 native-country=Trinadad&Tobago
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0.38045461473373643 0.4131544211529643 native-country=Hong
1.1832025237531092 -5.221352013898783E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.250245831695168 4.250245831695169
5.247725349928436 -5.247725349928442
>50K <=50K
Error sum for iteration 8300 = 706.0661633882881
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4336101233973864 12.471975518846435 age
0.5904929263044125 0.12271057723178662 workclass=Private
1.4818274387005461 1.2505623453315209 workclass=Self-emp-not-inc
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3.616346271178728 -0.04663015344901171 education=1st-4th
0.601437070798703 0.8393910330751682 education=10th
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0.9179182691709789 0.6168746132540845 education=Preschool
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1.1776406061237792 0.8086051984284632 marital-status=Divorced
1.3240903696383006 1.4322092918870974 marital-status=Never-married
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0.7277850233039411 2.2513882132544785 race=Amer-Indian-Eskimo
3.97917296433181 1.2483368374831671 race=Other
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-0.07293414256848706 0.9964316321766657 sex
-5.926552384915013 -0.24495843601999248 capital-gain
-2.780449670909697 -2.0484578680896224 capital-loss
-2.9588883921449933 -1.519566415876407 hours-per-week
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3.1480941255618218 1.6139657010747652 native-country=India
3.229508981828886 1.2868905450038528 native-country=Japan
2.0485088316608255 0.47294945346615 native-country=Greece
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1.6488930377330973 2.192234105296257 native-country=China
1.2415068938984533 -0.44982873536661366 native-country=Cuba
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1.0872177446320161 -0.72010866791929 native-country=Poland
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1.3652196567534067 3.3187808837281483 native-country=Vietnam
1.5133243065941389 1.8133134645065916 native-country=Mexico
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1.142424795288591 -0.5029636013396446 native-country=Laos
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2.7160607945306303 0.21506408717078368 native-country=Haiti
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1.0019720381782429 -0.5417202154777994 native-country=Trinadad&Tobago
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1.1834339203541604 -5.238027686823298E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.248824212973301 4.248824212973301
5.26259662915354 -5.262596629153539
>50K <=50K
Error sum for iteration 8400 = 705.664552274578
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4312700708561255 12.504461862643591 age
0.5915640309018929 0.1261326942332068 workclass=Private
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3.6311862966220403 -0.9733116986532439 native-country=Columbia
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1.680156580509853 0.7650487623991913 native-country=Thailand
1.3451444385895186 0.8871986483872805 native-country=Yugoslavia
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1.0043404841145227 -0.541016442185241 native-country=Trinadad&Tobago
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0.3816012347835581 0.4122337126317042 native-country=Hong
1.1836627472888108 -5.202283552134568E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.247422728115749 4.24742272811575
5.277058173085852 -5.277058173085856
>50K <=50K
Error sum for iteration 8500 = 705.2716603902975
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4289589800885346 12.536145507828223 age
0.5926018941021157 0.1294479287446768 workclass=Private
1.4839195028725811 1.2582411340645214 workclass=Self-emp-not-inc
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1.3509701557905818 0.887007521034388 native-country=Yugoslavia
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1.0067578258574252 -0.5403518149075905 native-country=Trinadad&Tobago
-0.009593347260136156 -2.1510671743209047 native-country=Peru
0.3821847210092618 0.4117655873090215 native-country=Hong
1.1838889556925607 -5.119026233310109E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.246042454064751 4.246042454064753
5.291130815336523 -5.291130815336525
>50K <=50K
Error sum for iteration 8600 = 704.8875059240096
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4266726612215646 12.567055400160417 age
0.5936072470392677 0.1326572745460598 workclass=Private
1.4849184091785788 1.261757054809522 workclass=Self-emp-not-inc
0.1666715871419691 1.9782854690887803 workclass=Self-emp-inc
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0.04618385624626774 0.6836164903867016 fnlwgt
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1.1722955100734123 1.633279636785237 education=11th
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3.169843938994978 2.042256954295932 education=12th
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3.649547209986349 -0.04518175831486109 education=1st-4th
0.5946173901571532 0.8538483809441247 education=10th
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0.9376551355717645 0.6197023831817804 education=Preschool
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3.998348930911596 1.2558651436974138 race=Other
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-2.782009909324323 -2.0540192174730505 capital-loss
-2.957887304722885 -1.5078636889477246 hours-per-week
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1.6543597581950968 2.2297571592497194 native-country=China
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1.368858955768448 3.390703039622614 native-country=Vietnam
1.5275002556019959 1.855635163074704 native-country=Mexico
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1.1252706411405624 -0.4821267137693195 native-country=Laos
0.9069028431536249 -0.8439727001087011 native-country=Ecuador
0.25836815341110264 0.3929526299533289 native-country=Taiwan
2.744804415236066 0.20598511350372095 native-country=Haiti
3.6311709652958655 -0.9652387804429118 native-country=Columbia
0.008450917144792647 0.9056194520965559 native-country=Hungary
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2.230072001737003 0.38311440215004366 native-country=Nicaragua
0.6015613575120701 0.6686267732687914 native-country=Scotland
1.6806711677636166 0.7734479751188246 native-country=Thailand
1.3567469266541692 0.8868208609588745 native-country=Yugoslavia
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1.0092212142851749 -0.5397245159551466 native-country=Trinadad&Tobago
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0.38277449386499013 0.4112924317625068 native-country=Hong
1.1841125283832659 -4.992567552896206E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.244684084233162 4.244684084233164
5.304834236377571 -5.304834236377571
>50K <=50K
Error sum for iteration 8700 = 704.5114693555307
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4244073930335182 12.597218982172148 age
0.5945808756939882 0.13576198208242687 workclass=Private
1.48588668460963 1.2650720234673936 workclass=Self-emp-not-inc
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0.046897836408383214 0.6891736515391932 fnlwgt
0.31999385697981275 0.3894143712356641 education=Bachelors
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3.182446124705039 2.054985802871698 education=12th
0.16260257479460918 -0.20741658112681483 education=Masters
3.660205402915932 -0.044636024940180145 education=1st-4th
0.5923898718007534 0.8584060166401678 education=10th
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0.9442512111245566 0.6207470536334007 education=Preschool
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4.004551167352585 1.2582919259904557 race=Other
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1.011727863854475 -0.5391327039370892 native-country=Trinadad&Tobago
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0.3833702359717626 0.4108143809490284 native-country=Hong
1.184333471139152 -4.8267286634654617E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.243348017402861 4.243348017402867
5.318187017355553 -5.318187017355559
>50K <=50K
Error sum for iteration 8800 = 704.1434191384225
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.42215988058438664 12.626662340976274 age
0.5955235994623439 0.13876348425439808 workclass=Private
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1.6576877421338079 2.2524074280696804 native-country=China
1.254995970567275 -0.47680991014176993 native-country=Cuba
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1.1792374736537625 -0.46341188442530323 native-country=Honduras
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1.114492851953116 -0.6880994062758686 native-country=Poland
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1.3714094743568628 3.43828529720719 native-country=Vietnam
1.5359607882939919 1.881735341164715 native-country=Mexico
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1.1141519534703885 -0.46854596525192155 native-country=Laos
0.9211686495860697 -0.8369255304182704 native-country=Ecuador
0.2586953328782416 0.38587580937381083 native-country=Taiwan
2.7632686984625794 0.20026595026713642 native-country=Haiti
3.6312948783557393 -0.9571581795050337 native-country=Columbia
0.008890194801984774 0.9056562164106741 native-country=Hungary
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2.2468826288753814 0.38153602939225767 native-country=Nicaragua
0.6083733473263523 0.6685804182105729 native-country=Scotland
1.6815495125399131 0.7817480153149402 native-country=Thailand
1.3681576304946115 0.8864594643898047 native-country=Yugoslavia
-0.1774994896671604 -1.293204302096495 native-country=El-Salvador
1.0142750547408237 -0.538574531363484 native-country=Trinadad&Tobago
-0.01290846583388815 -2.1837686951877786 native-country=Peru
0.3839716637712322 0.4103315807339466 native-country=Hong
1.1845518060404834 -4.6249244119129406E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.2420344269159145 4.242034426915913
5.331206697775843 -5.331206697775839
>50K <=50K
Error sum for iteration 8900 = 703.7830597116366
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.41992721398776367 12.655410329744155 age
0.5964362546265487 0.14166333899529596 workclass=Private
1.4877343072432292 1.2711408921201472 workclass=Self-emp-not-inc
0.1662206758210426 1.9763355996256498 workclass=Self-emp-inc
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0.5446144032965302 -1.1077417257391362 workclass=State-gov
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0.04823147965339021 0.6999911606376329 fnlwgt
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3.206923925069969 2.080198120116472 education=12th
0.16203421941811808 -0.20479927046059662 education=Masters
3.680945702547797 -0.04345213858090721 education=1st-4th
0.5880044595675139 0.8671467152309278 education=10th
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0.9574528887587781 0.6229805961484751 education=Preschool
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1.1830983972836129 0.7845398176546449 marital-status=Divorced
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1.9469199284088765 -0.461627241645182 marital-status=Married-spouse-absent
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0.32129207808680593 -0.4124910557413098 occupation=Adm-clerical
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0.3482653002166208 -0.41177582324480005 occupation=Transport-moving
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1.5668507936562777 2.4167523234739834 relationship=Own-child
0.4149792285869473 -1.5058304143178936 relationship=Husband
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0.5131040622049113 1.0119978000799346 relationship=Other-relative
0.0525794656220674 1.711827933153575 relationship=Unmarried
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0.7216394630707523 2.300269751368253 race=Amer-Indian-Eskimo
4.016692090217085 1.2630339053019846 race=Other
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3.1759755718176543 1.7321343616622884 native-country=India
3.2861879959685356 1.311216619707673 native-country=Japan
2.0664712807570513 0.47873344100242826 native-country=Greece
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1.372714079821183 3.461979100364528 native-country=Vietnam
1.5399135017980838 1.8941710357767434 native-country=Mexico
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2.7723039941784755 0.19749961402348945 native-country=Haiti
3.631405723945035 -0.9531140342313416 native-country=Columbia
0.009105955172752216 0.9056796856887793 native-country=Hungary
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2.2551515959798842 0.38082158571554703 native-country=Nicaragua
0.6117533435089402 0.6685633254285734 native-country=Scotland
1.6821033356045048 0.7858628226769745 native-country=Thailand
1.373793512344252 0.886284087398149 native-country=Yugoslavia
-0.18451972390914695 -1.313645144058648 native-country=El-Salvador
1.0168601352123283 -0.5380481590895524 native-country=Trinadad&Tobago
-0.0144067919503724 -2.194789281654332 native-country=Peru
0.38457852089844324 0.4098441836005967 native-country=Hong
1.18476756641126 -4.3902316309612284E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.240743314377456 4.240743314377456
5.3439098346575244 -5.343909834657532
>50K <=50K
Error sum for iteration 9000 = 703.4300159038193
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4177068293162781 12.683486668695718 age
0.5973196816361929 0.14446318472895103 workclass=Private
1.4886152692260703 1.2739144824562445 workclass=Self-emp-not-inc
0.1660915053348101 1.9759174516128595 workclass=Self-emp-inc
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0.04885593284954176 0.7052596812179277 fnlwgt
0.3200057633324567 0.4042323360257996 education=Bachelors
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1.1630237206592895 1.6482387323871133 education=11th
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0.23604978664057027 -0.07934138318069645 education=9th
0.10141894921879044 1.637840582807856 education=7th-8th
3.2188064584497855 2.092678760898546 education=12th
0.16175353302410783 -0.20359752646970458 education=Masters
3.6910389919014692 -0.04281406320662865 education=1st-4th
0.5858469075909711 0.8713359915537601 education=10th
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0.9640533366269008 0.6241665288488121 education=Preschool
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1.9580913001726727 -0.45348360647579444 marital-status=Married-spouse-absent
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1.6471570994271096 0.8820163370498738 occupation=Farming-fishing
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4.022637326934454 1.2653527251145653 race=Other
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3.18027015972843 1.7504316534931554 native-country=India
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1.5436891433395563 1.9062051547245713 native-country=Mexico
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0.2587967429503674 0.3789850889558722 native-country=Taiwan
2.7812132421615554 0.19479263877033795 native-country=Haiti
3.6315474970701924 -0.9490667651099292 native-country=Columbia
0.009319181759383668 0.905706164413691 native-country=Hungary
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2.2633327194381647 0.3801544241832082 native-country=Nicaragua
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1.6827234762494554 0.7899550604802711 native-country=Thailand
1.379384342894579 0.8861118837171025 native-country=Yugoslavia
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1.0194805239974267 -0.5375517680708173 native-country=Trinadad&Tobago
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0.3851905730602341 0.4093523452825023 native-country=Hong
1.1849807929978209 -4.125444381749384E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.2394745512704874 4.239474551270493
5.356312061510211 -5.356312061510224
>50K <=50K
Error sum for iteration 9100 = 703.0840603080807
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.41549647219910546 12.710914030076745 age
0.5981747153711368 0.14716470580215335 workclass=Private
1.4894687824447461 1.276526425469366 workclass=Self-emp-not-inc
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4.028503237021074 1.2676389657664515 race=Other
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3.184479925321183 1.7683607008735815 native-country=India
3.3040416881040855 1.3185889642866986 native-country=Japan
2.0715356553653943 0.4806908064427537 native-country=Greece
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1.6622590483334017 2.2832802500509772 native-country=China
1.2613915450431321 -0.4946162186295221 native-country=Cuba
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1.1289575670219412 -0.6703567971783956 native-country=Poland
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1.3753720914189036 3.509188747916615 native-country=Vietnam
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1.097998938763918 -0.44871728468065464 native-country=Laos
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0.2587807765942797 0.37561162205249427 native-country=Taiwan
2.79000012552258 0.1921430251258299 native-country=Haiti
3.6317190102290864 -0.9450159342640618 native-country=Columbia
0.009529919863544472 0.905735396989446 native-country=Hungary
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1.3849310399229795 0.8859426046563001 native-country=Yugoslavia
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1.0221337124896 -0.5370835688373296 native-country=Trinadad&Tobago
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1.1851915311020345 -3.833118624034503E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.238227911172944 4.238227911172946
5.368428145995211 -5.368428145995223
>50K <=50K
Error sum for iteration 9200 = 702.74470374864
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4132941643836386 12.737714110558686 age
0.5990021777541491 0.149769605710042 workclass=Private
1.490295690164552 1.278985223121393 workclass=Self-emp-not-inc
0.16585978197072596 1.9753818988898162 workclass=Self-emp-inc
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1.390434498051259 0.8857760223454666 native-country=Yugoslavia
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1.0248172666900444 -0.5366418090427348 native-country=Trinadad&Tobago
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0.3864294128335861 0.40835596922045525 native-country=Hong
1.1853998284471863 -3.5156083332400594E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.23700309469041 4.237003094690412
5.380272045529508 -5.380272045529522
>50K <=50K
Error sum for iteration 9300 = 702.4116792228035
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.41109817334467286 12.763907693698647 age
0.5998028722256864 0.15227958645852036 workclass=Private
1.4910968254372454 1.2812988277215638 workclass=Self-emp-not-inc
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3.1926650165748516 1.8031562207573006 native-country=India
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1.0275288288368836 -0.5362247793948833 native-country=Trinadad&Tobago
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0.38705581090027813 0.40785173865191304 native-country=Hong
1.1856057336083705 -3.1750947136818537E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.235799748753796 4.235799748753797
5.391856960355034 -5.391856960355044
>50K <=50K
Error sum for iteration 9400 = 702.0850588455784
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4089069848991645 12.789514704482167 age
0.6005775797015387 0.1546963327946793 workclass=Private
1.4918730029448957 1.2834746516055107 workclass=Self-emp-not-inc
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0.7173259296058762 2.3381826952239204 race=Amer-Indian-Eskimo
4.045654129253883 1.2743167267963051 race=Other
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-5.973889455990065 -0.23118358745079468 capital-gain
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0.33078179743505537 -2.6045855049062268 native-country=England
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0.9345099533689295 -0.13405045907301957 native-country=Outlying-US(Guam-USVI-etc)
3.1966495044602325 1.8200428072862334 native-country=India
3.329916238266858 1.329065582202547 native-country=Japan
2.078442610096524 0.4836273644886671 native-country=Greece
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1.6663860278062388 2.3108683753622525 native-country=China
1.2667142281860961 -0.5133775934149838 native-country=Cuba
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1.1422002079179487 -0.6535913183951234 native-country=Poland
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1.3794592417888933 3.5795999912238634 native-country=Vietnam
1.5571292793415894 1.950434552088009 native-country=Mexico
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1.0825304974020449 -0.4296191992538861 native-country=Laos
0.9624293638281215 -0.8153960000054641 native-country=Ecuador
0.258534827853659 0.3657854711046066 native-country=Taiwan
2.8156611658627564 0.18451945429741262 native-country=Haiti
3.632400781100577 -0.932837596600821 native-country=Columbia
0.010147683635745648 0.9058373478671735 native-country=Hungary
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1.4013151618054251 0.8854501226071319 native-country=Yugoslavia
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1.0302661186970585 -0.5358308182324107 native-country=Trinadad&Tobago
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0.38768662071845106 0.4073436786631424 native-country=Hong
1.185809294874223 -2.8136098464879504E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.234617481552571 4.234617481552572
5.403195383793215 -5.403195383793224
>50K <=50K
Error sum for iteration 9500 = 701.7649484811533
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.4067192787066239 12.814554257508636 age
0.6013270557159387 0.1570215003231798 workclass=Private
1.4926250132772836 1.285519583674594 workclass=Self-emp-not-inc
0.16556929884262825 1.975243021206634 workclass=Self-emp-inc
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3.738934851134065 -0.03915339428976426 education=1st-4th
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2.82399247019435 0.1820807203482534 native-country=Haiti
3.632680251730566 -0.9287680356142952 native-country=Columbia
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1.4066940436845217 0.8852904284892394 native-country=Yugoslavia
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1.033026934519222 -0.5354583149718717 native-country=Trinadad&Tobago
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0.3883216741726608 0.40683193276080976 native-country=Hong
1.186010559437844 -2.433055858591587E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.233455874097397 4.233455874097399
5.41429914954832 -5.414299149548337
>50K <=50K
Error sum for iteration 9600 = 701.4511625506299
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.40453390648614596 12.839044700030044 age
0.6020520285139237 0.15925670674238965 workclass=Private
1.4933536190929084 1.287440010819189 workclass=Self-emp-not-inc
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0.05212873838642694 0.7351167993919419 fnlwgt
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3.2854097308348806 2.1657395445198335 education=12th
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3.7480306759002255 -0.03832428772069065 education=1st-4th
0.5734021255674155 0.8941369883373648 education=10th
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1.0035013625760638 0.6321604275298385 education=Preschool
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4.056742927335568 1.2786305500088364 race=Other
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3.2044229175708154 1.8528412246161128 native-country=India
3.3465894287075875 1.3356989481691932 native-country=Japan
2.0826495577070174 0.48557686158047203 native-country=Greece
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1.3822384734028286 3.6262997725556394 native-country=Vietnam
1.562920294847497 1.9702742938463704 native-country=Mexico
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1.0726259351942486 -0.41733113118868753 native-country=Laos
0.9756910205765307 -0.80811109937114 native-country=Ecuador
0.2582513821558772 0.35948266517119193 native-country=Taiwan
2.83221767546954 0.1796903841153555 native-country=Haiti
3.63298416062022 -0.9246926714704411 native-country=Columbia
0.010547961601979459 0.9059151868026654 native-country=Hungary
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2.3106926292300165 0.3770485255269753 native-country=Nicaragua
0.6349407415124165 0.6685318371395095 native-country=Scotland
1.6875035430850287 0.8140640420580023 native-country=Thailand
1.4120330402610717 0.8851326740389138 native-country=Yugoslavia
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1.0358091536624385 -0.5351057126189702 native-country=Trinadad&Tobago
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0.3889608114865072 0.406316639232014 native-country=Hong
1.1862095728403848 -2.0352204915662474E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.232314489170084 4.232314489170087
5.425179476018637 -5.425179476018644
>50K <=50K
Error sum for iteration 9700 = 701.1437828383091
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.40234987275414513 12.863003650769475 age
0.6027531979053422 0.16140352559721202 workclass=Private
1.4940595527307001 1.2892418426504002 workclass=Self-emp-not-inc
0.1654080044662607 1.9755418082183833 workclass=Self-emp-inc
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0.9924426057414035 -0.4008909320548884 workclass=Local-gov
0.5488283660792209 -1.1200860473941192 workclass=State-gov
0.32764338619146055 -0.2935626835932109 workclass=Without-pay
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0.05260949024510536 0.7398270638095055 fnlwgt
0.3201469240697475 0.4368435557105833 education=Bachelors
0.4085384738437406 -0.18603387624993756 education=Some-college
1.1484651118220803 1.6755460210977173 education=11th
0.2006898586274689 0.11509986280982337 education=HS-grad
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0.20810313008822848 -0.14501801466255182 education=9th
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3.295777720547978 2.177606033177488 education=12th
0.15988861483261235 -0.19684737577427952 education=Masters
3.756974644925277 -0.03746160072293718 education=1st-4th
0.5714122974966489 0.8975774702211624 education=10th
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1.0100303169475573 0.6336263527550887 education=Preschool
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-2.192439851053128 1.9225824266043852 marital-status=Married-civ-spouse
1.1907292514499 0.7547095130044298 marital-status=Divorced
1.342123693323144 1.4250323243171923 marital-status=Never-married
0.24330976491538972 -0.37171030089552526 marital-status=Separated
0.3678058822636249 -1.3235857355002802 marital-status=Widowed
2.0282342464952574 -0.4027526533106468 marital-status=Married-spouse-absent
-0.5553923073904524 0.09705968593877808 marital-status=Married-AF-spouse
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0.941359308647623 0.893153456209893 occupation=Other-service
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0.16578786146239968 -1.4632541951762836 occupation=Machine-op-inspct
0.32552746435358093 -0.40931136778993515 occupation=Adm-clerical
1.6459330825761014 0.8542076886597184 occupation=Farming-fishing
0.35047908544044365 -0.4097193864320974 occupation=Transport-moving
1.6929172368046996 0.48009596934104803 occupation=Priv-house-serv
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1.5808287449771252 2.4591205373607523 relationship=Own-child
0.4279979089666466 -1.555103430851855 relationship=Husband
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0.5291816068754859 1.0533705609575337 relationship=Other-relative
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0.7149738235416591 2.359838369572091 race=Amer-Indian-Eskimo
4.062191433342252 1.2807494334899159 race=Other
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-0.08121756346943242 0.9875690318153889 sex
-5.984407930884642 -0.22630549227110705 capital-gain
-2.7830537644487996 -2.0598137928049653 capital-loss
-2.9590948964801838 -1.4864346211677901 hours-per-week
-0.04442970380286196 0.7384362523383017 native-country=United-States
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0.31823265691151387 -2.661189815330142 native-country=England
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0.9513375797501908 -0.13549037141695627 native-country=Outlying-US(Guam-USVI-etc)
3.208219206932177 1.8687710852351027 native-country=India
3.3547598588207617 1.3389186530478512 native-country=Japan
2.0846478889616695 0.48654731576902416 native-country=Greece
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1.6701301886230164 2.335580373485819 native-country=China
1.2711092969377578 -0.5329202291206719 native-country=Cuba
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1.0678014439653143 -0.41132761541765256 native-country=Laos
0.9822333026500354 -0.8044513470966916 native-country=Ecuador
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2.840339653607868 0.1773468324134175 native-country=Haiti
3.633311561153476 -0.9206110632070269 native-country=Columbia
0.010744767365774089 0.9059565298738689 native-country=Hungary
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2.3183163199447505 0.3766658486060642 native-country=Nicaragua
0.6381876231920344 0.6685372699737526 native-country=Scotland
1.688432796035633 0.8180119976068578 native-country=Thailand
1.4173329363646214 0.8849766991656894 native-country=Yugoslavia
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1.0386107329199734 -0.5347715095067082 native-country=Trinadad&Tobago
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0.38960388035736404 0.40579793083990867 native-country=Hong
1.1864063786041679 -1.6217897792995795E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.231192878252786 4.231192878252789
5.435847007649847 -5.435847007649852
>50K <=50K
Error sum for iteration 9800 = 700.8418744666416
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.40016631787383833 12.886448035245206 age
0.6034312347288893 0.1634634820711591 workclass=Private
1.494743514933577 1.2909305383026939 workclass=Self-emp-not-inc
0.16533592048192192 1.9757987534169097 workclass=Self-emp-inc
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0.9930215739849748 -0.401797977284685 workclass=Local-gov
0.5493158364889459 -1.1216553364425503 workclass=State-gov
0.3281720523706828 -0.2935212393852659 workclass=Without-pay
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0.05307519559221651 0.7444681745889228 fnlwgt
0.32018515591663027 0.4413235740595751 education=Bachelors
0.4075551765412915 -0.18595131163748393 education=Some-college
1.1465114172722888 1.6794131068652638 education=11th
0.19965725115920266 0.11697294308378055 education=HS-grad
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0.08581666452161815 1.7760751295236163 education=7th-8th
3.3059508746873054 2.1893827866286557 education=12th
0.15963850144986685 -0.19608469246056437 education=Masters
3.765770349675225 -0.03656470624512881 education=1st-4th
0.5694467303632001 0.900923350994482 education=10th
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1.0165410963765107 0.6351269822137003 education=Preschool
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2.0372419317298136 -0.39632880206249405 marital-status=Married-spouse-absent
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4.067579193284921 1.2828442865694252 race=Other
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3.211959698363574 1.8843995428284142 native-country=India
3.3628224170106464 1.3420770227600183 native-country=Japan
2.0865817778093834 0.48751421661272476 native-country=Greece
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1.6713027049555031 2.343238315325354 native-country=China
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1.5681380878206825 1.9886454089636871 native-country=Mexico
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0.988717682307074 -0.8007808415815303 native-country=Ecuador
0.25790633923064227 0.3533783816601792 native-country=Taiwan
2.8483611639868824 0.17504850491632082 native-country=Haiti
3.633661541109061 -0.916522775894488 native-country=Columbia
0.01093940677262383 0.9059992730114399 native-country=Hungary
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2.325867774906339 0.3763179444112137 native-country=Nicaragua
0.6414186108613398 0.6685446181372701 native-country=Scotland
1.6893901416199644 0.8219407472442432 native-country=Thailand
1.4225944966354656 0.8848223528273828 native-country=Yugoslavia
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1.041429708567348 -0.534454260398477 native-country=Trinadad&Tobago
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0.3902507352751271 0.40527593467998213 native-country=Hong
1.1866010180109392 -1.1943584036880582E-4 native-country=Holand-Netherlands
Hidden Weights:
-4.23009058688893 4.230090586888931
5.446311853406916 -5.446311853406923
>50K <=50K
Error sum for iteration 9900 = 700.545060223652
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.3979825032051404 12.909394118170027 age
0.6040867808040402 0.16543805043702595 workclass=Private
1.4954061744160518 1.2925111343449907 workclass=Self-emp-not-inc
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3.3159345268385856 2.2010696608241824 education=12th
0.15939261261062526 -0.19536487524417578 education=Masters
3.774421214565114 -0.03563294581980216 education=1st-4th
0.5675054673316539 0.904177561629717 education=10th
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1.0230320046914672 0.6366610930766083 education=Preschool
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-1.8767015199473844 -0.6038785914993353 native-country=Portugal
-1.2719732686111511 2.5428855950569127 native-country=Ireland
-0.9443959236799979 -0.7710030845047114 native-country=France
-0.23576891814593612 2.2112123425272268 native-country=Dominican-Republic
1.0584159939165938 -0.39961195938332555 native-country=Laos
0.995145010628803 -0.7971001324851078 native-country=Ecuador
0.2577179843296562 0.3504001473494873 native-country=Taiwan
2.856284858990676 0.1727938917597756 native-country=Haiti
3.6340332214098976 -0.9124273814973944 native-country=Columbia
0.011131918749757126 0.9060432650332813 native-country=Hungary
-1.5212509596680157 0.39712107487195586 native-country=Guatemala
2.333348657701541 0.3760035125357454 native-country=Nicaragua
0.6446338779452369 0.6685537176592748 native-country=Scotland
1.6903727623681872 0.8258505328115568 native-country=Thailand
1.4278184661684257 0.884669492120275 native-country=Yugoslavia
-0.23906640193711026 -1.4893215455429891 native-country=El-Salvador
1.0442641961629964 -0.5341525770734192 native-country=Trinadad&Tobago
-0.0410380191202954 -2.3084735525871323 native-country=Peru
0.3909012369806411 0.40475077216115696 native-country=Hong
1.1867935299880912 -7.544381855234438E-5 native-country=Holand-Netherlands
Hidden Weights:
-4.229007158828738 4.22900715882874
5.45658362247669 -5.456583622476692
>50K <=50K
Options: -I 10000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.01
-S 1720654284
-H 2
-M 0.01
Input Weights:
0.39581965143373954 12.93163523858259 age
0.6047142189371164 0.16731015792759776 workclass=Private
1.4960418484128812 1.293973999462413 workclass=Self-emp-not-inc
0.16520796004678098 1.9765114670677113 workclass=Self-emp-inc
-0.11629269438618757 -0.5444723853894073 workclass=Federal-gov
0.994154408898369 -0.4034715960748926 workclass=Local-gov
0.5502591103935393 -1.1248137180004671 workclass=State-gov
0.329216907086338 -0.29343511153546203 workclass=Without-pay
-0.5890284134390112 -0.6535918959351827 workclass=Never-worked
0.05396153160295514 0.7535076658875951 fnlwgt
0.3202763131865088 0.45013177137764937 education=Bachelors
0.4056513588873695 -0.1857399689452273 education=Some-college
1.142697255464128 1.6870192354808349 education=11th
0.19762728312120678 0.12056522934115045 education=HS-grad
-0.3510492280272432 -1.1637702105556915 education=Prof-school
0.007005141356239168 -0.3326979163959472 education=Assoc-acdm
0.19676644877344157 -0.5970697319080179 education=Assoc-voc
0.19755532039323045 -0.1680898578020881 education=9th
0.0819351471496155 1.8071165922230603 education=7th-8th
3.3256368115894577 2.2125510884938975 education=12th
0.1591533151453768 -0.19469241576786034 education=Masters
3.7828461047118385 -0.03467548653198409 education=1st-4th
0.5656075929698217 0.9073117393636998 education=10th
-1.5355176392613785 -3.0060098262246306 education=Doctorate
-2.1038882856132983 -2.426671010817807 education=5th-6th
1.0294368595873475 0.6382116807504956 education=Preschool
-3.3308105163577286 -0.47854898796539286 education-num
-2.201579459080077 1.9329212704326801 marital-status=Married-civ-spouse
1.1934566109275133 0.744237132993952 marital-status=Divorced
1.3460584843990036 1.4238532424883044 marital-status=Never-married
0.24462436513572533 -0.3862689871512757 marital-status=Separated
0.3692248596717096 -1.350373765361712 marital-status=Widowed
2.0545091408206972 -0.3840971838847546 marital-status=Married-spouse-absent
-0.5732881444377175 0.1230341978423515 marital-status=Married-AF-spouse
-0.33963487368122397 0.6800324111906284 occupation=Tech-support
-0.36967177248306554 -1.7987532929606616 occupation=Craft-repair
0.9417032518042783 0.8952151402411023 occupation=Other-service
-0.13492485262174134 -0.4334359685179087 occupation=Sales
-0.8062031532859157 -0.4598467846026127 occupation=Exec-managerial
0.058748934666931346 1.1202193931711513 occupation=Prof-specialty
0.902402204711632 0.6678449618003993 occupation=Handlers-cleaners
0.16543052327767957 -1.47372915036821 occupation=Machine-op-inspct
0.32681543644651945 -0.40903356127289375 occupation=Adm-clerical
1.6457202762913186 0.8440097683119925 occupation=Farming-fishing
0.35136214746466715 -0.4086287874481349 occupation=Transport-moving
1.7093075911848081 0.49900725418306563 occupation=Priv-house-serv
-0.252442749436939 0.6657391049232887 occupation=Protective-serv
-0.1359793937918305 -0.7297614812441674 occupation=Armed-Forces
-0.8856881720688516 -1.9319544304894176 relationship=Wife
1.5854312465763387 2.473780158986796 relationship=Own-child
0.4324409080633773 -1.5740283239556445 relationship=Husband
-0.8192009303699583 -0.4819168015108226 relationship=Not-in-family
0.5351364412063923 1.070743436222242 relationship=Other-relative
0.03392358878132146 1.7678379283777006 relationship=Unmarried
-0.6475458913554882 -0.795232667412882 race=White
-1.0485083601693008 -0.7578648640249077 race=Asian-Pac-Islander
0.7127616068805861 2.380669903202634 race=Amer-Indian-Eskimo
4.07812905735986 1.2869450800582576 race=Other
-0.6504960214955466 -1.5977233225235246 race=Black
-0.08238871701020273 0.9879451515907395 sex
-5.994088417193924 -0.22134044208605247 capital-gain
-2.782363958935898 -2.058657577127139 capital-loss
-2.9604211878105184 -1.4851279585274662 hours-per-week
-0.042407296455547604 0.7375123963967629 native-country=United-States
-4.565842538052296 -1.1673729174359513 native-country=Cambodia
0.30727726296238 -2.713188313358883 native-country=England
0.0660384503900208 -0.9872829889226029 native-country=Puerto-Rico
-1.9177611291920713 -2.1771214879432574 native-country=Canada
-0.6496710991356892 -0.05519568438751283 native-country=Germany
0.9678868888327803 -0.13663013793913384 native-country=Outlying-US(Guam-USVI-etc)
3.219249205194653 1.914635845731349 native-country=India
3.3785543176183572 1.3481886898455862 native-country=Japan
2.0902537798794407 0.4894260020740035 native-country=Greece
-3.2070198966090637 -5.298672257416278 native-country=South
1.6735345506859767 2.3576815837882608 native-country=China
1.274693315097657 -0.5530292418796694 native-country=Cuba
-2.795166093193098 -1.2333435461680204 native-country=Iran
1.2535497454503906 -0.46185463604053506 native-country=Honduras
-0.7807123541817563 -1.1419689114478686 native-country=Philippines
-0.9102016864454114 0.0016340632947948932 native-country=Italy
1.1655797202394214 -0.6227003967687887 native-country=Poland
-3.0201162311698226 -0.8125555072133716 native-country=Jamaica
1.387890073363496 3.7189624013634393 native-country=Vietnam
1.5727905800418058 2.0054996208424876 native-country=Mexico
-1.8804369206353675 -0.6051651987858548 native-country=Portugal
-1.2703191690968574 2.5535137737411033 native-country=Ireland
-0.9468116005581411 -0.7709321864097353 native-country=France
-0.2354574870533937 2.2169581558166267 native-country=Dominican-Republic
1.0539029736847076 -0.393959981025924 native-country=Laos
1.0014527037079641 -0.7934466926636562 native-country=Ecuador
0.25752434477199965 0.34749974979316617 native-country=Taiwan
2.8640354683791402 0.17060345049675954 native-country=Haiti
3.6344217291026544 -0.9083655273533203 native-country=Columbia
0.011320445861345802 0.9060879063539804 native-country=Hungary
-1.5257707354833598 0.3923127417907739 native-country=Guatemala
2.340686792927478 0.3757239674006584 native-country=Nicaragua
0.6478016774507167 0.668564298275585 native-country=Scotland
1.6913679866640943 0.8297027492033768 native-country=Thailand
1.432953880239344 0.8845194903808865 native-country=Yugoslavia
-0.24312609511178426 -1.5042070498444602 native-country=El-Salvador
1.0470838460810243 -0.5338679367458431 native-country=Trinadad&Tobago
-0.044872106026685996 -2.320075214910485 native-country=Peru
0.3915486949136343 0.40422785594753685 native-country=Hong
1.1869820570996334 -3.0802497841865904E-5 native-country=Holand-Netherlands
Hidden Weights:
-4.227952699787667 4.227952699787668
5.466571460524535 -5.466571460524543
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4281 85.3639 %
Incorrectly Classified Instances 734 14.6361 %
Mean absolute error 0.2622
Root mean squared error 0.3289
Relative absolute error 71.0215 %
Root relative squared error 76.5389 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
778 447 | a = >50K
287 3503 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4196 83.669 %
Incorrectly Classified Instances 819 16.331 %
Mean absolute error 0.2695
Root mean squared error 0.341
Relative absolute error 73.9379 %
Root relative squared error 80.4139 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
706 472 | a = >50K
347 3490 | b = <=50K
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