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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.8063960537269976 -0.9015151217336657 age
-0.17474935204794373 -0.18344591918151276 workclass=Private
-0.837856047796508 -0.33248862827438797 workclass=Self-emp-not-inc
-0.058450017565269796 -0.11691015476773758 workclass=Self-emp-inc
-0.9948548271594797 0.6265467659035135 workclass=Federal-gov
0.027784272865422288 -0.41783278104564014 workclass=Local-gov
0.22100420940581 -0.923626248944754 workclass=State-gov
0.2985244272640475 -0.5906543929817134 workclass=Without-pay
-0.681652482490545 -0.6119057694548331 workclass=Never-worked
0.26816719248923504 0.3433010876138345 fnlwgt
0.3164450342631 0.1681640195181313 education=Bachelors
-0.8556764780094344 0.6826353937386087 education=Some-college
0.7722040658985994 0.9985496864040244 education=11th
-0.20893768118433798 0.48472536623392415 education=HS-grad
-0.3482668352010678 -0.6076480970113494 education=Prof-school
-0.4297332026231171 -0.8869373685336304 education=Assoc-acdm
-0.8505854428981683 -0.7023248738065366 education=Assoc-voc
0.5153350427568115 -0.5818734500618519 education=9th
-0.9487630489865504 0.4929958503793943 education=7th-8th
0.22539178016629569 -0.9808674310044603 education=12th
0.9672061041394595 0.5118168617466403 education=Masters
0.912346293204608 0.8578935191659192 education=1st-4th
-0.5358909880344145 0.44774914378478536 education=10th
-0.021457575396557127 -0.28183647643748944 education=Doctorate
0.2776514339202958 0.7268593076791681 education=5th-6th
0.10916934903928999 -0.48040315008765666 education=Preschool
-0.9463436541722112 -0.7355810647998564 education-num
-0.6404498848384701 -0.10101932688882664 marital-status=Married-civ-spouse
0.8619937753112707 0.3891118298531684 marital-status=Divorced
0.3001663232323528 -0.40440767539700717 marital-status=Never-married
-0.3366470907672827 0.529061053875066 marital-status=Separated
-0.38217444835565106 0.39401750651797873 marital-status=Widowed
0.32575324021009533 0.3892433401213946 marital-status=Married-spouse-absent
-0.7055009083895243 -0.5030544415342733 marital-status=Married-AF-spouse
0.24146423763647817 0.6562326254387789 occupation=Tech-support
-0.30043037485251345 0.07146842167777723 occupation=Craft-repair
0.36115580550156157 0.059770517786770005 occupation=Other-service
0.708791379602064 0.9231402868786807 occupation=Sales
-0.9652292376310756 -0.21383406572146524 occupation=Exec-managerial
-0.15479731641063954 0.6091490005632048 occupation=Prof-specialty
0.6406901312404674 0.12949468360303773 occupation=Handlers-cleaners
0.9332992184244218 -0.6692017085811315 occupation=Machine-op-inspct
-0.9721092420874984 0.20526711699315392 occupation=Adm-clerical
-0.15349834335227208 -0.6097622431444707 occupation=Farming-fishing
0.4403647471572807 -0.6713248041854607 occupation=Transport-moving
-0.44341336626623185 -0.6800953469533728 occupation=Priv-house-serv
0.20821982489791813 -0.9645155081387646 occupation=Protective-serv
0.278325924960787 -0.32291131496130165 occupation=Armed-Forces
0.16350252595273584 -0.07338468417218236 relationship=Wife
-0.5721545167945992 0.3407973245839473 relationship=Own-child
-0.22247965216083143 0.7447310441576853 relationship=Husband
0.23270209050222923 -0.427181514991092 relationship=Not-in-family
0.4456759936363619 -0.991270540422714 relationship=Other-relative
-0.03236240056907436 -0.5525536879112645 relationship=Unmarried
-0.5902913694683796 -0.22531256429365865 race=White
-0.7665699100816443 0.07138917153480295 race=Asian-Pac-Islander
-0.5313486255815256 0.7630498476087817 race=Amer-Indian-Eskimo
0.7069794833548229 0.5823128405203917 race=Other
-0.9295960339397695 0.26395100168975816 race=Black
0.09726260867212688 -0.27457806040045885 sex
-0.5040234840104834 0.4465215740090249 capital-gain
-0.6586716464732487 0.07534454137408142 capital-loss
-0.23268098277974736 0.4636384691118045 hours-per-week
-0.4668997140313116 -0.8730066863045349 native-country=United-States
-0.534888059456645 -0.9606739055951725 native-country=Cambodia
-0.1698281484215607 -0.3255712698844797 native-country=England
0.8915869212234566 -8.103512375470245E-4 native-country=Puerto-Rico
0.23353701686041828 0.5001810430248832 native-country=Canada
-0.2692294179597239 0.8708636691108724 native-country=Germany
-0.7454388625121819 -0.5031093998528149 native-country=Outlying-US(Guam-USVI-etc)
-0.4613639704648673 0.6262599307642858 native-country=India
0.11347846711246734 0.24514253110068251 native-country=Japan
-0.24860190441090046 0.7139150016887887 native-country=Greece
-0.7359294506912051 -0.19860974623832117 native-country=South
-0.6367614630088196 -0.43976894721319626 native-country=China
-0.8115504271137803 -0.7479762388875111 native-country=Cuba
-0.3545105727413387 -0.006105208225895442 native-country=Iran
-0.9986945161319072 0.42683634605418286 native-country=Honduras
-0.8731250791824636 0.828009001739803 native-country=Philippines
0.36059564187128146 -0.7809871102792489 native-country=Italy
0.11670493019922401 -0.15200174010732215 native-country=Poland
-0.6137777990748974 0.12970114257286736 native-country=Jamaica
0.13657251704860296 0.3974194947469327 native-country=Vietnam
-0.9067268277295617 -0.9376316478606166 native-country=Mexico
0.2565134636998492 -0.20556536679517334 native-country=Portugal
-0.42583662017060764 0.8733866807703969 native-country=Ireland
-0.7471088240802102 -0.9163484022305883 native-country=France
0.6055176807842664 -0.2027340263697366 native-country=Dominican-Republic
-0.8196433045978486 0.7348301937892434 native-country=Laos
-0.729346478846369 0.3830576083251318 native-country=Ecuador
0.06074453070775099 -0.5861595612652444 native-country=Taiwan
-0.19443543551211984 0.99682691234797 native-country=Haiti
-0.6619066740490414 -0.08672428737241056 native-country=Columbia
-0.6073607476286589 -0.023377954558670533 native-country=Hungary
-0.8497373581384993 0.7500217293099045 native-country=Guatemala
0.7079921985780775 -0.8972978734377945 native-country=Nicaragua
0.6617483720157065 -0.7066177230434052 native-country=Scotland
0.31000090876123343 -0.18269320213977291 native-country=Thailand
-0.7540851713445713 -0.9726699487596189 native-country=Yugoslavia
0.5419446152564236 -0.5358943354685377 native-country=El-Salvador
-0.5266417043461578 -0.40989822440644463 native-country=Trinadad&Tobago
-0.41719929365846387 0.30553963789012717 native-country=Peru
0.15062973193057383 -0.541546178613131 native-country=Hong
-0.8417163043589126 0.02320448379810114 native-country=Holand-Netherlands
Hidden Weights:
-0.2711248155806991 0.33761696692173127
0.137663378018541 0.48700189837908736
>50K <=50K
Error sum for iteration 100 = 739.7764983959274
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.9425202031797455 -1.4016805222521072 age
0.04483830311573513 0.4533983794275341 workclass=Private
0.992362048813675 -0.05579668643605774 workclass=Self-emp-not-inc
-0.5148189795640183 -0.35687486147564285 workclass=Self-emp-inc
-0.8394837552580923 0.4907578763001545 workclass=Federal-gov
0.6614083103556645 -0.16144744092690316 workclass=Local-gov
0.4890853525789692 -0.7204837725019865 workclass=State-gov
0.4948068932887504 -0.515193381194084 workclass=Without-pay
-0.49186611526626434 -0.540387671289181 workclass=Never-worked
0.301341603644005 0.33328568498371863 fnlwgt
-0.1722747275942829 0.10512382310950057 education=Bachelors
0.2480056624219373 0.794420147300855 education=Some-college
1.0558191477452574 1.0156730632695574 education=11th
0.04731017287079813 0.7977236901582722 education=HS-grad
-0.8941528893171088 -0.8315875594218666 education=Prof-school
0.017905742055758476 -0.4994652673599284 education=Assoc-acdm
0.3637852344970732 -0.39766623419438935 education=Assoc-voc
1.2244279659813662 -0.3395059948052862 education=9th
0.1354890053584047 0.9581041592548437 education=7th-8th
0.8670187035024608 -0.8136035441112178 education=12th
-0.2570740465183633 0.016163026492779023 education=Masters
1.1668980660744137 0.9549004201097504 education=1st-4th
0.6334476649094358 0.905362583650465 education=10th
-0.7855780711188376 -0.48692747652220186 education=Doctorate
0.46293683185248596 0.7759169160755088 education=5th-6th
0.33734620171755525 -0.3886990953226787 education=Preschool
-2.14347107245269 -1.119587882214236 education-num
-1.1253686765620214 -0.9392880546735778 marital-status=Married-civ-spouse
0.8718914339907996 0.4751818885309149 marital-status=Divorced
1.419212885487912 0.33366630860762225 marital-status=Never-married
0.19178849191750394 0.8982869315769846 marital-status=Separated
0.408654852073268 0.8200073235147534 marital-status=Widowed
0.8129038846051342 0.5246526219139115 marital-status=Married-spouse-absent
-0.3091463567451147 -0.3467832604378714 marital-status=Married-AF-spouse
-0.5025686778999184 0.3246182272904756 occupation=Tech-support
0.07904565037683006 0.3142648158399879 occupation=Craft-repair
0.9755872338080087 0.4209861397663393 occupation=Other-service
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-0.042444528280154804 0.3491194929398879 occupation=Prof-specialty
1.029848794741954 0.31248394417412273 occupation=Handlers-cleaners
1.0206259131291904 -0.506097061005767 occupation=Machine-op-inspct
0.34974072158290537 0.9062092783253483 occupation=Adm-clerical
1.46801261220049 -0.03108510248929863 occupation=Farming-fishing
0.7159263875126122 -0.6515938727160813 occupation=Transport-moving
-0.10069183046396436 -0.533102589725998 occupation=Priv-house-serv
0.3118006661966534 -0.8977273534146853 occupation=Protective-serv
0.4728840140122398 -0.24752716442210176 occupation=Armed-Forces
-0.4771426670345026 -0.16428110070781626 relationship=Wife
0.631116590906019 1.0470624770946537 relationship=Own-child
0.38459156140797957 0.13044569158536803 relationship=Husband
0.30310627014838953 -0.10242344954022721 relationship=Not-in-family
1.0045164942067806 -0.7539383627173905 relationship=Other-relative
0.8257049320725273 -0.11447394015067719 relationship=Unmarried
-0.2958589443570906 -0.22105784173201573 race=White
-0.2899364397937421 0.36025375948937743 race=Asian-Pac-Islander
0.11834049647643204 0.9950376372805351 race=Amer-Indian-Eskimo
1.2022491052629243 0.7408335506367312 race=Other
-0.378397899388927 0.5100584675392497 race=Black
0.23009973642514206 -0.9990259518437533 sex
-1.1335434165242182 0.13062816157520682 capital-gain
-1.6794080594312222 -0.2981325919394975 capital-loss
-2.2688433647661186 -0.33346748634289897 hours-per-week
-0.17486809182927782 -0.5448682077199203 native-country=United-States
-0.5346003611681632 -0.9584156570088586 native-country=Cambodia
0.26736885252996573 -0.1755947915333087 native-country=England
1.0587446903756301 0.04230489636168371 native-country=Puerto-Rico
-0.10078675941329736 0.3366979676808776 native-country=Canada
-0.2004762968543207 0.9017997158153593 native-country=Germany
-0.5232930969939539 -0.4157112811503449 native-country=Outlying-US(Guam-USVI-etc)
0.09279750966135195 0.8672038441107849 native-country=India
0.4126445151812886 0.3361400062905748 native-country=Japan
-0.03895466001416155 0.7922903028143846 native-country=Greece
-0.5051799348485239 -0.09838465325742397 native-country=South
-0.14389471205629228 -0.26291183676355423 native-country=China
-0.17619710623047927 -0.5178352072408038 native-country=Cuba
-0.5162541546295343 -0.10106731509901502 native-country=Iran
-0.7368132728557238 0.5297174798503302 native-country=Honduras
-0.7883761516859122 0.7948996522073841 native-country=Philippines
0.21054580557943095 -0.8482418828958362 native-country=Italy
0.4609054078301025 -0.007878300361938359 native-country=Poland
-0.6174357126432778 0.10108527114259733 native-country=Jamaica
0.3936485989891719 0.4878911554688441 native-country=Vietnam
0.26350914345350757 -0.4856387345954429 native-country=Mexico
0.3717468943811823 -0.16711138228665137 native-country=Portugal
-0.3437012388710912 0.8938923598542509 native-country=Ireland
-0.5582911030441443 -0.8405837390851115 native-country=France
0.6750201740582159 -0.20065450758713216 native-country=Dominican-Republic
-0.5299711087019622 0.8479814032907373 native-country=Laos
-0.49457985863418635 0.48174412127313393 native-country=Ecuador
0.14052780894835645 -0.5511000076624513 native-country=Taiwan
0.08985252229638455 1.1248641432022293 native-country=Haiti
-0.2399193670495819 0.09337849336956204 native-country=Columbia
-0.4175743804043467 0.04814014360701706 native-country=Hungary
-0.7102956521791305 0.7809913237445099 native-country=Guatemala
1.0141217175688535 -0.7965988528622558 native-country=Nicaragua
0.8578088776312444 -0.630012044271677 native-country=Scotland
0.534898394599547 -0.10539986265892114 native-country=Thailand
-0.49055017272948254 -0.8780145634873675 native-country=Yugoslavia
0.7648866925742225 -0.46364651295078685 native-country=El-Salvador
-0.23863137555619832 -0.2953668146359558 native-country=Trinadad&Tobago
-0.1756915445003562 0.3723495277597392 native-country=Peru
0.34399330474713674 -0.46725535368780935 native-country=Hong
-0.6519299371346362 0.09472258196378268 native-country=Holand-Netherlands
Hidden Weights:
-3.4121794674942008 3.397494716834062
-1.2828461850766502 1.3045013980767852
>50K <=50K
Error sum for iteration 200 = 728.7639450581497
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-1.1709427895370212 -1.8555875703488718 age
0.04241956037472292 0.7465327432312365 workclass=Private
1.0230406479795289 -0.40678313048804193 workclass=Self-emp-not-inc
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0.665223155192201 -0.16349783120176997 workclass=Local-gov
0.4415595648979428 -0.709923547436344 workclass=State-gov
0.5198490343995178 -0.514975824655395 workclass=Without-pay
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0.09934611991766447 0.26446651962830786 fnlwgt
-0.1622387563350557 0.2614700046169254 education=Bachelors
0.3267173225657485 0.49672227242397476 education=Some-college
0.9370100697898509 0.8622826065029915 education=11th
0.05804558826544716 0.913271474621821 education=HS-grad
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0.35947522010094424 -0.5185869597204121 education=Assoc-voc
1.2736439051332777 -0.33262469748833035 education=9th
0.2867308616333887 0.994666792633091 education=7th-8th
1.1403489714042307 -0.776333559738696 education=12th
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1.2111437610495108 0.9416037341073621 education=1st-4th
0.8628712864428442 0.8949982628384496 education=10th
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0.3691872567516016 0.721539116070797 education=5th-6th
0.372720003667609 -0.37995233986778104 education=Preschool
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1.780590868666304 0.10015271833906485 occupation=Farming-fishing
0.7145432331832273 -0.7089859028109294 occupation=Transport-moving
0.06067002853014074 -0.4780318147649407 occupation=Priv-house-serv
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0.5054182410432828 -0.2429774384543379 occupation=Armed-Forces
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0.7729969490390117 1.0160188266834693 relationship=Own-child
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0.3059473671452575 -0.06387344602757059 relationship=Not-in-family
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0.30231087298334436 0.9941784901629485 race=Amer-Indian-Eskimo
1.5183400424318398 0.7729630887914227 race=Other
-0.4117859498878148 0.4111963484222785 race=Black
0.14800814381862132 -1.3470797780906996 sex
-1.748109889030719 -0.07368770101970437 capital-gain
-2.1269350767365682 -0.3539378232111379 capital-loss
-2.818481927971749 -0.4091046879305248 hours-per-week
-0.22958228932419975 -0.5064092470397915 native-country=United-States
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0.46156713713688524 -0.12386993284544501 native-country=England
0.9527626435945922 -0.00606249855231237 native-country=Puerto-Rico
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-0.3570193556070292 0.8873850938276198 native-country=Germany
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0.4665192967578046 0.9516981116491433 native-country=India
0.5820148989454615 0.34054916549079445 native-country=Japan
0.07670811880021228 0.8083611768015112 native-country=Greece
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0.17262278079902577 -0.17631196937626947 native-country=China
0.2121357823348128 -0.40382741959085283 native-country=Cuba
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0.645866734753192 0.03361382108929207 native-country=Poland
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0.49119029600490716 0.48713551527745935 native-country=Vietnam
0.6970681979474106 -0.3969066396467832 native-country=Mexico
0.27543046880097005 -0.21186657607726603 native-country=Portugal
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0.5313821891256136 -0.2877855594135453 native-country=Dominican-Republic
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0.23217845221646857 1.1633699103956376 native-country=Haiti
0.09489040093101306 0.17593077097247978 native-country=Columbia
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1.112457260244529 -0.7838525968554666 native-country=Nicaragua
0.8883533009656991 -0.6264277899247356 native-country=Scotland
0.6063108355896919 -0.09275712287062425 native-country=Thailand
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0.785341394503415 -0.46955107335068935 native-country=El-Salvador
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0.36869444404881924 -0.46799664400168056 native-country=Hong
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Hidden Weights:
-3.7299805920532454 3.7293752493308294
-1.2207156594285715 1.221451736900331
>50K <=50K
Error sum for iteration 300 = 721.4783767767684
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-1.189377598020002 -2.2215865628349856 age
0.03816181122083484 0.9191216134358312 workclass=Private
1.032628957069703 -0.6349814984525513 workclass=Self-emp-not-inc
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0.6752295185790744 -0.13486163490137854 workclass=Local-gov
0.43505557159918734 -0.6993025392746506 workclass=State-gov
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1.3193201031220179 -0.7567066330260322 education=12th
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1.2447833325826967 0.9287352487120523 education=1st-4th
0.9716097057057919 0.8374352717018729 education=10th
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0.22931921374762476 0.6929882225716966 education=5th-6th
0.39144474885698377 -0.3755141356948831 education=Preschool
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0.23152523819502516 1.0714007173932654 marital-status=Separated
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0.4096788224152697 0.9036635530684184 occupation=Adm-clerical
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1.7419330054283715 0.7766075258361866 race=Other
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0.20009546887099708 -1.573382197513881 sex
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-2.255550478818987 -0.31437046049388473 capital-loss
-2.9402572717280595 -0.29377325766139983 hours-per-week
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0.8765986931831701 -0.3727185490480652 native-country=Mexico
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0.3475618714937203 -0.3852042420143716 native-country=Dominican-Republic
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0.34456255574747496 1.1912219005420241 native-country=Haiti
0.42489894017170543 0.23261112132419587 native-country=Columbia
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0.6638138605794627 -0.08295737611250281 native-country=Thailand
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0.7860662835405571 -0.4738520981034273 native-country=El-Salvador
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0.020084450245007896 0.39947791777642794 native-country=Peru
0.37620813482906634 -0.47093972123370526 native-country=Hong
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Hidden Weights:
-3.797925662231384 3.7979124445335968
-1.2802907605333058 1.2803057105291686
>50K <=50K
Error sum for iteration 400 = 718.4469384783549
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-1.1615724320963667 -2.548538796429303 age
0.028179986340125005 0.9947450595769843 workclass=Private
1.034686235630575 -0.7935511802565464 workclass=Self-emp-not-inc
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1.2090474516853906 -0.4143717038449821 education=9th
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1.4617912213237523 -0.7469991383620942 education=12th
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1.277435393938617 0.9163109198162077 education=1st-4th
1.0370257201818494 0.7675694217243898 education=10th
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0.40510300269149174 -0.37251258032617957 education=Preschool
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0.050839466711056935 -0.24280274531667279 marital-status=Married-AF-spouse
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1.9088486331636996 0.769409387102758 race=Other
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0.9187231916191244 0.9975004290838754 native-country=India
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0.7782642590519674 -0.4785183839371186 native-country=El-Salvador
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Hidden Weights:
-3.814620239808154 3.8146201024139277
-1.4031213546786891 1.4031215218479351
>50K <=50K
Error sum for iteration 500 = 718.9493624256003
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-1.1138819078544284 -2.843995471805305 age
0.016779153980242933 1.0089272473180175 workclass=Private
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2.043285419292745 0.7536318326087257 race=Other
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0.30845779562465864 -1.7939168741131748 sex
-2.9371084859664833 -0.4459258363949805 capital-gain
-2.3209574297819566 -0.21015099807271628 capital-loss
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1.0710194189809292 0.9945773549281219 native-country=India
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0.9899482589658841 -0.38167523347201265 native-country=Mexico
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0.51757049868155 1.2325775175584466 native-country=Haiti
1.0423607819569543 0.31009704426344586 native-country=Columbia
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0.17027282538688193 0.4523053740974275 native-country=Peru
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Hidden Weights:
-3.8385895620242927 3.8385895614191754
-1.5779040586507116 1.577904060059024
>50K <=50K
Error sum for iteration 600 = 722.9826840873769
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-3.8961883410128437 3.8961883410154616
-1.837614089689429 1.837614089709691
>50K <=50K
Error sum for iteration 700 = 728.877031004978
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.9440246751274736 -3.399410424921575 age
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Hidden Weights:
-3.9892210685777973 3.9892210685780114
-2.184116663926643 2.184116663927464
>50K <=50K
Error sum for iteration 800 = 733.6541620888594
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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0.9840753135993544 0.06089591986588711 marital-status=Divorced
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0.18526737641181235 -0.22085012685937663 marital-status=Married-AF-spouse
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0.4509408441227201 0.4929255396586247 occupation=Adm-clerical
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2.3492887998334253 0.6414362552802626 race=Other
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0.2571701223432027 -1.6926121563009673 sex
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1.3212579856007605 0.8512143144909841 native-country=India
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0.7291145667327542 0.9510372170395253 native-country=Greece
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0.9726443720838384 -0.1316701227705638 native-country=Cuba
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1.0016408079124695 -0.5084986955997426 native-country=Mexico
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0.08921241751375564 0.9026262334981956 native-country=Laos
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1.7999937514384259 0.377071301893471 native-country=Columbia
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0.20103596542085744 -0.1774899185557884 native-country=Trinadad&Tobago
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Hidden Weights:
-4.085375703155435 4.085375703155455
-2.5372987768123627 2.537298776812428
>50K <=50K
Error sum for iteration 900 = 736.5421473058972
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.7458658912901343 -3.988477933186869 age
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1.017850157051431 -0.9209876069478754 workclass=Self-emp-not-inc
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Hidden Weights:
-4.15836171911172 4.158361719111719
-2.8377839983000746 2.8377839983000794
>50K <=50K
Error sum for iteration 1000 = 738.3272056079596
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.6710415756317357 -4.264146222613109 age
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1.0175740655210161 -0.8828069276809974 workclass=Self-emp-not-inc
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1.084734784048544 0.34103126844860954 education=10th
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0.27526952758621676 -0.8591393046719419 native-country=Yugoslavia
0.5907599090118891 -0.5708192043790745 native-country=El-Salvador
0.27392117633891017 -0.156973460216018 native-country=Trinadad&Tobago
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0.37001791623536295 -0.5395238381212971 native-country=Hong
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Hidden Weights:
-4.208503702663514 4.208503702663515
-3.0859415083500745 3.0859415083500745
>50K <=50K
Error sum for iteration 1100 = 739.4867044979367
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.6091095620002995 -4.52057470190018 age
-0.03310509879648064 0.9506597749176846 workclass=Private
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1.70306712070589 0.8627038516062506 education=1st-4th
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0.20232834159995233 -1.617117751353241 sex
-4.402833570116595 -0.7948346085406625 capital-gain
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-3.3933531357394022 2.0873626866542576 hours-per-week
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0.1539588177738474 0.8862390499514026 native-country=Laos
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0.781572436066079 1.2716807831645787 native-country=Haiti
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Hidden Weights:
-4.2437592669199375 4.243759266919941
-3.296486190194223 3.2964861901942237
>50K <=50K
Error sum for iteration 1200 = 740.2037497227042
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.5568387044774199 -4.758547672743419 age
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0.4616657175813853 0.7058162590391094 native-country=Peru
0.3720101778690172 -0.5588525798305513 native-country=Hong
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Hidden Weights:
-4.2704900719975845 4.270490071997584
-3.4786025310091304 3.478602531009132
>50K <=50K
Error sum for iteration 1300 = 740.5379489830176
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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-0.7895009531204019 -1.4303956995894278 native-country=Dominican-Republic
0.16753658967100787 0.8753347977382586 native-country=Laos
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0.8532697437762776 1.293225406520916 native-country=Haiti
2.6739195179524353 0.47052536493731595 native-country=Columbia
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1.5306421051175998 -0.8322878446419261 native-country=Nicaragua
0.9518385229598678 -0.6886760084826462 native-country=Scotland
1.4188109850249677 -0.05359549370755034 native-country=Thailand
0.3874964978939802 -0.8738005562231115 native-country=Yugoslavia
0.47214965182333507 -0.5846309673394215 native-country=El-Salvador
0.3726127989835242 -0.11284340834992011 native-country=Trinadad&Tobago
0.472567952688701 0.748368203438958 native-country=Peru
0.3728171037623516 -0.567429955034594 native-country=Hong
-0.6105006280719482 0.01623897182405904 native-country=Holand-Netherlands
Hidden Weights:
-4.292567455626929 4.29256745562693
-3.636194209554453 3.636194209554453
>50K <=50K
Error sum for iteration 1400 = 740.4226087789378
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4766733118420614 -5.179021904209281 age
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1.0101583176374502 -0.7265310077641091 workclass=Self-emp-not-inc
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0.5200383686419482 0.6954896123813422 workclass=Local-gov
0.47457567381335986 -0.9981947871375787 workclass=State-gov
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0.9611327177603955 -0.08164682031290818 education=11th
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2.321075626667177 -0.903909246991646 education=12th
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1.8936633327019572 0.8966387052201454 education=1st-4th
1.0603129204510142 0.21317620986395724 education=10th
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0.5080522177751668 -0.42962335259375967 education=Preschool
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1.6683915316809739 -0.2571429071379308 marital-status=Married-spouse-absent
0.29175316509700033 -0.20845659754853568 marital-status=Married-AF-spouse
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0.36463474183641714 0.590738253794955 occupation=Adm-clerical
1.8331395422401182 -0.23120869805897123 occupation=Farming-fishing
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0.942185292433998 -0.3937523419474355 occupation=Priv-house-serv
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1.42201202548651 -0.5715522826859936 relationship=Own-child
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2.746130600561245 0.2779955554207441 race=Other
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0.1972999247681145 -1.5982441759037576 sex
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-2.0585808807404438 -0.390278198702713 capital-loss
-3.570420672070416 2.672358654122995 hours-per-week
-0.32680532676303126 -0.6551631505124 native-country=United-States
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1.5408072997597915 0.3404732301581116 native-country=India
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0.17014873716935613 0.8696828612590197 native-country=Laos
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0.8894188815717399 1.3057399777385024 native-country=Haiti
2.7912572946439003 0.4895128192937618 native-country=Columbia
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1.5543330182873294 -0.8358831314798888 native-country=Nicaragua
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1.469935453827376 -0.09085215663607776 native-country=Thailand
0.415371329479732 -0.8780489188228797 native-country=Yugoslavia
0.4343236452613195 -0.5819920002107739 native-country=El-Salvador
0.4025943358377196 -0.09685026852895386 native-country=Trinadad&Tobago
0.475137143251498 0.7925006759571859 native-country=Peru
0.37347266470368384 -0.5755314705534468 native-country=Hong
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Hidden Weights:
-4.311547434650122 4.31154743465012
-3.7711382083329372 3.771138208332937
>50K <=50K
Error sum for iteration 1500 = 739.822936864353
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.44847200579836966 -5.362138197271523 age
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1.0093629531160033 -0.6973863766431169 workclass=Self-emp-not-inc
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2.35765936423481 -0.922907152460866 education=12th
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1.9470357215391614 0.9048308228381723 education=1st-4th
1.0550052579630818 0.19576530932578765 education=10th
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0.5170282712612388 -0.4330599893434556 education=Preschool
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0.304925700712764 -0.2066290154140103 marital-status=Married-AF-spouse
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0.1966144455517901 -1.5959071866625425 sex
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1.5911923339306147 0.28085448587966827 native-country=India
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0.4402082794910125 -0.8819910829586641 native-country=Yugoslavia
0.39834046622489333 -0.5766128296611973 native-country=El-Salvador
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0.3739840065418783 -0.5832052775117761 native-country=Hong
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Hidden Weights:
-4.327374737763058 4.327374737763058
-3.8851130657071025 3.8851130657071025
>50K <=50K
Error sum for iteration 1600 = 738.7771805981338
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4271831434815346 -5.528673289909898 age
4.565653820578215E-5 0.8492226283121186 workclass=Private
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0.1933570590976917 -1.5910161903214286 sex
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-3.6539061708953877 2.9170446072477363 hours-per-week
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1.641648144157326 0.2269898613847624 native-country=India
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1.1474355331451072 1.0843938156169595 native-country=Greece
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1.0248260703496765 -0.6881428450814748 native-country=Poland
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0.8112116118158564 -0.7497952662650754 native-country=Mexico
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0.17066262683299432 0.8583711101618278 native-country=Laos
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0.9619931012198454 1.3335229810440576 native-country=Haiti
2.990370833461886 0.5278307130617506 native-country=Columbia
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1.5535000038174616 -0.19239711928090975 native-country=Thailand
0.4626734151202333 -0.8855798152085577 native-country=Yugoslavia
0.36453491013533534 -0.5689147223854149 native-country=El-Salvador
0.45687232030461455 -0.06591111899974449 native-country=Trinadad&Tobago
0.45720705275027596 0.8854483047061366 native-country=Peru
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Hidden Weights:
-4.339610340094995 4.339610340094994
-3.9800430710251957 3.9800430710251966
>50K <=50K
Error sum for iteration 1700 = 737.4236039423125
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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0.005605710154847628 0.8428298564420953 workclass=Private
1.0104386896347277 -0.6528679047847317 workclass=Self-emp-not-inc
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0.5337287306932315 -0.4386569819606623 education=Preschool
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0.32922729160343883 -0.20321730871328575 marital-status=Married-AF-spouse
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3.0762891873092344 0.5465744235790642 native-country=Columbia
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0.3331307769332787 -0.5592456805563698 native-country=El-Salvador
0.48094534235845743 -0.051451079368681076 native-country=Trinadad&Tobago
0.43826316744602856 0.9338776375184347 native-country=Peru
0.3745634920455574 -0.5972713594258697 native-country=Hong
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Hidden Weights:
-4.348228239935994 4.348228239935993
-4.058099049632625 4.058099049632626
>50K <=50K
Error sum for iteration 1800 = 735.885687630319
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3989764203077383 -5.817442202751169 age
0.010649049415564141 0.8389657097921911 workclass=Private
1.0120167691474646 -0.6363887020102494 workclass=Self-emp-not-inc
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1.0462856366705293 0.16166468842856518 education=10th
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Hidden Weights:
-4.353664634321863 4.353664634321862
-4.121539980652239 4.121539980652239
>50K <=50K
Error sum for iteration 1900 = 734.2570546034761
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.38936402025215433 -5.942157906948836 age
0.015151557875665213 0.8369566379365937 workclass=Private
1.0140717003929443 -0.6230053673510284 workclass=Self-emp-not-inc
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2.9647632777260573 -0.05803677476533847 race=Other
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0.1707606258648346 -1.5560643290490976 sex
-4.868002636904202 -0.8310721023443935 capital-gain
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1.650650004660386 -0.3834120759383654 native-country=Thailand
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0.2779395717432049 -0.5351144382623231 native-country=El-Salvador
0.5232582777034723 -0.024994862360944465 native-country=Trinadad&Tobago
0.38520903627974984 1.032749079028623 native-country=Peru
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Hidden Weights:
-4.356572072529561 4.356572072529565
-4.17251495059665 4.172514950596651
>50K <=50K
Error sum for iteration 2000 = 732.601029346654
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.38169929443366374 -6.055306837849431 age
0.019158178268077943 0.8362984120778811 workclass=Private
1.0164661939540856 -0.6121640962490623 workclass=Self-emp-not-inc
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3.000463800544797 -0.12197550741338298 race=Other
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0.37435067450306303 -0.6155958468333572 native-country=Hong
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Hidden Weights:
-4.357611890467188 4.35761189046719
-4.212939600048506 4.212939600048505
>50K <=50K
Error sum for iteration 2100 = 730.9394750529389
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.37573172487722767 -6.15803064897575 age
0.02277098971153147 0.8365795784607131 workclass=Private
1.0190871482968418 -0.6033433374920487 workclass=Self-emp-not-inc
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1.0451078421659983 0.14127517463541922 education=10th
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0.12554068878730218 -1.3613904847588445 native-country=Taiwan
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1.706147400071721 -0.5189957745548928 native-country=Thailand
0.5525611566409843 -0.8984641514697123 native-country=Yugoslavia
0.23265120161230068 -0.5060540148401179 native-country=El-Salvador
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0.3740376932704373 -0.6211474775959807 native-country=Hong
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Hidden Weights:
-4.357338886112907 4.357338886112907
-4.244448663914267 4.244448663914269
>50K <=50K
Error sum for iteration 2200 = 729.2644443838548
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3714997953514927 -6.251471283999063 age
0.026121466136798433 0.8374434331641388 workclass=Private
1.0218528974124874 -0.5961054812895991 workclass=Self-emp-not-inc
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2.2083531412846304 0.8971641609209973 education=1st-4th
1.045782833578737 0.13602167846043714 education=10th
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0.14037113721154934 -1.504767563161064 sex
-4.969804392331795 -0.8261842155357914 capital-gain
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-3.7773772853478085 3.264451335353245 hours-per-week
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Hidden Weights:
-4.356147574861936 4.35614757486194
-4.268378678124528 4.26837867812453
>50K <=50K
Error sum for iteration 2300 = 727.5668847409285
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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0.02932630140001534 0.83861315354942 workclass=Private
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Hidden Weights:
-4.35426646561709 4.354266465617087
-4.285763544515846 4.285763544515844
>50K <=50K
Error sum for iteration 2400 = 725.846938638573
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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1.2253084231407543 1.4474890100838032 native-country=Haiti
3.5212722375370467 0.6569837641034855 native-country=Columbia
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1.7277905109481975 -0.854977200251265 native-country=Nicaragua
0.9979719829878448 -0.7177343533193076 native-country=Scotland
1.782032831987883 -0.7180801566738715 native-country=Thailand
0.5956727133567095 -0.9033074784055944 native-country=Yugoslavia
0.17968794260049084 -0.45642223699118883 native-country=El-Salvador
0.6027857674630953 0.027894674828351448 native-country=Trinadad&Tobago
0.20481889995536803 1.2770103728367352 native-country=Peru
0.37258198244645163 -0.6366227488537446 native-country=Hong
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Hidden Weights:
-4.351800826072767 4.351800826072766
-4.297366198519749 4.29736619851975
>50K <=50K
Error sum for iteration 2500 = 724.1201394614545
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.36989269205731257 -6.486769903604287 age
0.03550138503356921 0.8414398289058086 workclass=Private
1.0307017658860536 -0.5816481914435859 workclass=Self-emp-not-inc
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2.5868941053318903 -1.1153883500213317 education=12th
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2.2830270394148933 0.8743017079053711 education=1st-4th
1.0497761221051585 0.12438701577408574 education=10th
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0.5887044490657779 -0.4492146339111693 education=Preschool
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0.4087112227555069 -0.1900590286740612 marital-status=Married-AF-spouse
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0.1114776097906578 -1.4629950357936063 sex
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-1.955561638253194 -0.824291879019378 capital-loss
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0.7292390848547547 -1.0111967746669936 native-country=Mexico
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0.14359995667909023 0.8161026146653062 native-country=Laos
0.020602926218429136 0.5127233127745988 native-country=Ecuador
0.2910312962770338 -1.596058987812883 native-country=Taiwan
1.2537460926057706 1.459819533091451 native-country=Haiti
3.56974542538123 0.6695825224774327 native-country=Columbia
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1.0013192338903891 -0.7188406743534163 native-country=Scotland
1.8056629423220567 -0.7818442174345268 native-country=Thailand
0.60883140263525 -0.9045760527633551 native-country=Yugoslavia
0.16479128587091654 -0.4389077198666135 native-country=El-Salvador
0.6154245585236575 0.03663720582962137 native-country=Trinadad&Tobago
0.16587404375819476 1.3245066540151682 native-country=Peru
0.371957836881742 -0.6414490494599187 native-country=Hong
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Hidden Weights:
-4.348801417441011 4.3488014174410115
-4.303759351783429 4.30375935178343
>50K <=50K
Error sum for iteration 2600 = 722.4019225319475
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.37257597046888796 -6.553208470809896 age
0.03846007295550818 0.8431989230626501 workclass=Private
1.0338155889958522 -0.5790934176247429 workclass=Self-emp-not-inc
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2.6030767038195695 -1.1353156921800402 education=12th
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2.3051233624698204 0.8660166178785405 education=1st-4th
1.0513320934626056 0.12207732240323432 education=10th
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0.5946209745978156 -0.44968676091439863 education=Preschool
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0.4171058940851288 -0.18866489861423674 marital-status=Married-AF-spouse
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Hidden Weights:
-4.345318041864358 4.345318041864356
-4.305420296908277 4.3054202969082755
>50K <=50K
Error sum for iteration 2700 = 720.7061757569767
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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0.1399010093641093 -0.19387815472860634 native-country=Outlying-US(Guam-USVI-etc)
2.0188675420933766 -0.1232924299018848 native-country=India
2.8522955225269744 -0.27798822544517465 native-country=Japan
1.3357289290980348 1.1845825957525693 native-country=Greece
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0.8001066434740326 -0.543212225429987 native-country=China
0.7408371899655963 0.20726248684114193 native-country=Cuba
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0.22058812545115317 -0.2361051086588151 native-country=Honduras
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1.1536684198156495 -1.25850707094569 native-country=Poland
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0.4708904648982244 1.0548246200633087 native-country=Vietnam
0.726935353245524 -1.068383358804736 native-country=Mexico
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0.13555095538000786 0.8086570142730038 native-country=Laos
0.05419184258379218 0.5126426439292953 native-country=Ecuador
0.37024910709554243 -1.7056078354379116 native-country=Taiwan
1.3083156963815794 1.4833301611755942 native-country=Haiti
3.658967268109005 0.692627725869276 native-country=Columbia
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1.7674548859420212 -0.8567481816647927 native-country=Nicaragua
1.0077506668278375 -0.7205827022096872 native-country=Scotland
1.8506503797250726 -0.9049340286172066 native-country=Thailand
0.6335912938674466 -0.9066510827623208 native-country=Yugoslavia
0.13748730904025183 -0.40307567940746486 native-country=El-Salvador
0.6383398523849771 0.052758764170205724 native-country=Trinadad&Tobago
0.08848685956442773 1.4183104099837842 native-country=Peru
0.37052603422013236 -0.6506676842359105 native-country=Hong
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Hidden Weights:
-4.341418600418567 4.341418600418569
-4.3027955431389815 4.302795543138982
>50K <=50K
Error sum for iteration 2800 = 719.0459040105326
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3811220284531695 -6.672226671767191 age
0.04401301142723017 0.8480244413984588 workclass=Private
1.0402440646469697 -0.5774035645863553 workclass=Self-emp-not-inc
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2.6335225057972163 -1.1750517656426316 education=12th
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2.346068400984458 0.8491564457156948 education=1st-4th
1.0539926540532458 0.12007667044939982 education=10th
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0.605950884944071 -0.45021712106433914 education=Preschool
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0.432960244532241 -0.18614349099156952 marital-status=Married-AF-spouse
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3.222211231194519 -0.5475203779546731 race=Other
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0.09006892288817482 -1.4419754543942378 sex
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1.3345453616696838 1.494553006004508 native-country=Haiti
3.700196134827257 0.7031713701443654 native-country=Columbia
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1.8721248459349105 -0.9643275627003298 native-country=Thailand
0.6452625151947596 -0.9074774552168237 native-country=Yugoslavia
0.12473924823276104 -0.3848735261219376 native-country=El-Salvador
0.6487788134210066 0.06023256161656332 native-country=Trinadad&Tobago
0.05050972516739995 1.4646094504093978 native-country=Peru
0.3697224993283467 -0.6550808126793621 native-country=Hong
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Hidden Weights:
-4.33718443675717 4.337184436757168
-4.296325672136696 4.296325672136696
>50K <=50K
Error sum for iteration 2900 = 717.4245030994837
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3865426819422207 -6.725861182217546 age
0.046589085256127566 0.8512942249869438 workclass=Private
1.0435277952783248 -0.5781827037955776 workclass=Self-emp-not-inc
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2.647926062882264 -1.1948003589025684 education=12th
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1.0549254672136286 0.1204021022499619 education=10th
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0.11245650017640563 -0.36652810160985255 native-country=El-Salvador
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Hidden Weights:
-4.332699149299464 4.332699149299465
-4.286446124204092 4.286446124204095
>50K <=50K
Error sum for iteration 3000 = 715.8454983048288
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3925267304487952 -6.7761914027701176 age
0.04903447225112612 0.8552147977812903 workclass=Private
1.0468349859333734 -0.5799387913105808 workclass=Self-emp-not-inc
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3.265185303188027 -0.6311105940505191 race=Other
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0.08019816950492516 -1.437827281971033 sex
-5.205096908452954 -0.8163753921959214 capital-gain
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0.6679484312606979 0.07418338463692546 native-country=Trinadad&Tobago
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Hidden Weights:
-4.328039871227937 4.328039871227936
-4.273580176744035 4.273580176744037
>50K <=50K
Error sum for iteration 3100 = 714.3091819509743
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.3989734659395332 -6.823631400779928 age
0.0513577736529536 0.8598087321787727 workclass=Private
1.0501490376933713 -0.5825722452425138 workclass=Self-emp-not-inc
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Hidden Weights:
-4.323272757233409 4.323272757233407
-4.258132193936022 4.258132193936023
>50K <=50K
Error sum for iteration 3200 = 712.8155291006939
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.40580688280405053 -6.868569989678027 age
0.053569610443086245 0.8650768089775674 workclass=Private
1.0534546987447002 -0.5859782166034428 workclass=Self-emp-not-inc
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1.055736695482026 0.1264378814581801 education=10th
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1.952623526181252 -1.1892128422171937 native-country=Thailand
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0.07792242450817866 -0.31087885774185003 native-country=El-Salvador
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0.3659911839150748 -0.6717039315085476 native-country=Hong
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Hidden Weights:
-4.31845162612787 4.318451626127875
-4.240483275963123 4.240483275963122
>50K <=50K
Error sum for iteration 3300 = 711.3617714008806
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.41296644239237373 -6.911374799464644 age
0.05568116510634106 0.8710034130157616 workclass=Private
1.056738435851829 -0.5900524682148308 workclass=Self-emp-not-inc
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3.324031440808498 -0.7430347465045061 race=Other
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0.07016107282772861 -1.4423817613231558 sex
-5.280339980947307 -0.8141780275035259 capital-gain
-1.9454169298385684 -1.0509752036773794 capital-loss
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Hidden Weights:
-4.313618401514608 4.31361840151461
-4.220989002995405 4.2209890029954105
>50K <=50K
Error sum for iteration 3400 = 709.9450407899146
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-4.308804392114284 4.308804392114284
-4.199978459937836 4.199978459937836
>50K <=50K
Error sum for iteration 3500 = 708.5628436450536
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4280645043182403 -6.991953077860176 age
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0.7165780678101162 -0.9104739065435598 native-country=Yugoslavia
0.04638995640372526 -0.2548498949933996 native-country=El-Salvador
0.7080814484590479 0.10422538076076347 native-country=Trinadad&Tobago
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0.36275202814493834 -0.6834137255782653 native-country=Hong
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Hidden Weights:
-4.304031860108707 4.304031860108707
-4.177753897325987 4.177753897325988
>50K <=50K
Error sum for iteration 3600 = 707.2127730486476
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4359144982392605 -7.0303579927245545 age
0.061521206519155325 0.8924041916974049 workclass=Private
1.066352151471717 -0.6053180343442986 workclass=Self-emp-not-inc
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0.5364634130671094 0.9892825280112977 workclass=Local-gov
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2.737589833531433 -1.3303256942413304 education=12th
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2.479428761189949 0.7795239002374934 education=1st-4th
1.0526717806705397 0.14470152124619082 education=10th
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0.6462529965848125 -0.44860268930893965 education=Preschool
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0.4854126173998466 -0.17946239575201203 marital-status=Married-AF-spouse
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0.7255816004884397 -0.9106477897692896 native-country=Yugoslavia
0.03648597753984152 -0.23622589143021375 native-country=El-Salvador
0.7150459650911155 0.10950856128702904 native-country=Trinadad&Tobago
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0.36160907701900263 -0.687225952978861 native-country=Hong
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Hidden Weights:
-4.2993155961190235 4.2993155961190235
-4.15459066981796 4.15459066981796
>50K <=50K
Error sum for iteration 3700 = 705.8927159035807
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.44391013512160205 -7.067887770428662 age
0.06333556165254392 0.9005927475553577 workclass=Private
1.0694522618554954 -0.6111343661060207 workclass=Self-emp-not-inc
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2.4936933083877872 0.7704395492128937 education=1st-4th
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Hidden Weights:
-4.294664375643199 4.294664375643199
-4.130737314969622 4.130737314969624
>50K <=50K
Error sum for iteration 3800 = 704.6003875516894
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.45201219341274684 -7.104794695413087 age
0.06509818881304746 0.9092187505929465 workclass=Private
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2.21753461400526 -0.2561622399065045 native-country=India
3.151638983716397 -0.5601348324783454 native-country=Japan
1.4006519588501833 1.2688104550506192 native-country=Greece
-1.483545829313777 1.3906360276198908 native-country=South
0.8829135829681939 -0.7031375327850944 native-country=China
0.5612223258097228 0.48944662351313034 native-country=Cuba
-2.6023061737999593 -0.6367421755777379 native-country=Iran
0.5240747944863753 -0.4083090182405968 native-country=Honduras
-2.0174534662825176 1.6747179143176651 native-country=Philippines
-1.3463504315716184 -1.5057525354397268 native-country=Italy
1.171050707338607 -1.5432074352914738 native-country=Poland
-1.7381439255003195 -0.39901631977480706 native-country=Jamaica
0.4358723566858323 1.3265214069439941 native-country=Vietnam
0.7022311971991538 -1.2351243989885665 native-country=Mexico
-0.5555990967967531 -1.199381463131989 native-country=Portugal
-1.5597426215035473 -1.478382741022842 native-country=Ireland
-0.7884542089252433 -0.9618047248478911 native-country=France
-0.5063501692948867 -2.3744796660385052 native-country=Dominican-Republic
0.09204728088410725 0.7774478407678806 native-country=Laos
0.20828872653200534 0.5097220586385356 native-country=Ecuador
0.7000929323640159 -2.2060753372537825 native-country=Taiwan
1.562812164213888 1.5879550766266506 native-country=Haiti
4.027613227330284 0.7816665436115678 native-country=Columbia
-0.34957969688558627 -0.07178968573983113 native-country=Hungary
-2.098132083848157 0.3383044399285073 native-country=Guatemala
1.885409433795361 -0.8564637003684924 native-country=Nicaragua
1.0383021069589902 -0.7231107169609297 native-country=Scotland
2.0610984758347266 -1.4955989655254611 native-country=Thailand
0.742895362455696 -0.9109049579535449 native-country=Yugoslavia
0.01753061422357997 -0.19923707366462748 native-country=El-Salvador
0.7281085263679402 0.11941302122023605 native-country=Trinadad&Tobago
-0.28108080498428706 1.8988049372615736 native-country=Peru
0.3592511526614715 -0.6947601893454922 native-country=Hong
-0.5839352536158576 -0.025207247383067642 native-country=Holand-Netherlands
Hidden Weights:
-4.2900822561158005 4.290082256115803
-4.1064157634549145 4.106415763454916
>50K <=50K
Error sum for iteration 3900 = 703.3333300281644
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4601831229430652 -7.141301979060688 age
0.06681653566400196 0.9182241472822404 workclass=Private
1.0754696635759515 -0.623426957214913 workclass=Self-emp-not-inc
-0.2500095434950951 -0.026375677255139243 workclass=Self-emp-inc
-0.1808044159613152 -2.3071995223014055 workclass=Federal-gov
0.5430583996424012 1.0161993895439927 workclass=Local-gov
0.5267085578504848 -1.0175437105011413 workclass=State-gov
0.5737885840217279 -0.6267359566850103 workclass=Without-pay
-0.42341080806837916 -0.6604688979776655 workclass=Never-worked
-0.48983916462010774 1.7363982524351234 fnlwgt
0.012987478081728445 -0.33165228663610924 education=Bachelors
0.4801900258270408 -0.30631308105541155 education=Some-college
1.1809674814003193 -1.0896618478346418 education=11th
0.1925261033824507 0.18157640065655517 education=HS-grad
-1.1576932263250015 1.0723089390746934 education=Prof-school
0.22845862705385997 -1.228889591669611 education=Assoc-acdm
0.493037875540381 -1.161122184360341 education=Assoc-voc
0.95166204512259 -2.338388425496411 education=9th
0.3726770603404441 -0.13671266544151292 education=7th-8th
2.771271858089963 -1.387237780141992 education=12th
-0.22460585040041678 0.2352070518718497 education=Masters
2.5211359187113054 0.7519977351920387 education=1st-4th
1.048436586558352 0.16422994556423384 education=10th
-1.663567121047962 1.9733248436068636 education=Doctorate
-1.7732972077230822 3.7325842708026715 education=5th-6th
0.6600503825744244 -0.44726810696730307 education=Preschool
-2.235960095553301 0.16203000182522903 education-num
-1.7879483528254343 -1.3093411718932846 marital-status=Married-civ-spouse
0.7794437322977209 0.8993328362855262 marital-status=Divorced
1.2022898346204276 -0.5771887081263914 marital-status=Never-married
0.1734480646856658 0.8766782171752984 marital-status=Separated
0.39656878901153236 0.8662594854082801 marital-status=Widowed
2.031625067432554 -0.6129189046117478 marital-status=Married-spouse-absent
0.5013389875127389 -0.17831639552900694 marital-status=Married-AF-spouse
-0.4310951616593027 -0.031001805291280594 occupation=Tech-support
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1.4543145877119505 -1.946055311237657 occupation=Other-service
-0.12997435196848345 0.7512926177994471 occupation=Sales
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0.10768318258542345 -0.6697923033756644 occupation=Prof-specialty
1.0526416916652392 -0.9762369483479432 occupation=Handlers-cleaners
0.2723345255772657 1.274226204592619 occupation=Machine-op-inspct
0.2773060492521317 0.9386613895018515 occupation=Adm-clerical
2.1049281479947504 -0.9257178521844702 occupation=Farming-fishing
0.39331499427104105 0.8756847131827812 occupation=Transport-moving
1.4222988958196043 -0.568073569880909 occupation=Priv-house-serv
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0.8529792048175207 -0.3162015879078914 occupation=Armed-Forces
-1.3977200628945585 3.0474693375467155 relationship=Wife
1.52240909387952 -1.3397018591277339 relationship=Own-child
0.9927477051091418 0.7509239740987096 relationship=Husband
0.2772695413612867 -0.5402768178165193 relationship=Not-in-family
1.3610761718993494 -2.1035589387934213 relationship=Other-relative
0.8744850331219801 -1.4536015539799527 relationship=Unmarried
-0.5460400036636655 0.08602696748366759 race=White
-2.186555360164689 3.003801590413102 race=Asian-Pac-Islander
0.9503145804693947 -1.4904453315196897 race=Amer-Indian-Eskimo
3.4282626554586417 -0.9297769668606298 race=Other
-0.39966656032860254 0.1544633667495735 race=Black
0.059494567368351126 -1.4770203237348396 sex
-5.408169210545792 -0.8144968587534411 capital-gain
-1.9542359153887656 -1.1812070720120396 capital-loss
-3.9276051957694955 3.7281915870265587 hours-per-week
-0.5359664003783419 -0.3339841316024269 native-country=United-States
-3.595942406310244 -0.2611919037278178 native-country=Cambodia
0.36758472997922476 0.512844949055274 native-country=England
-0.6205146268300664 -0.449889901922182 native-country=Puerto-Rico
-2.0382044403410164 1.990292840088455 native-country=Canada
-1.0933321913391851 1.279525532190975 native-country=Germany
0.28233327955966636 -0.1150961364506244 native-country=Outlying-US(Guam-USVI-etc)
2.2324938408304105 -0.26468273643948875 native-country=India
3.1747242617186133 -0.5831091586849374 native-country=Japan
1.4042873230941952 1.2763388641683417 native-country=Greece
-1.5057932774001095 1.4120639748688804 native-country=South
0.8891919841743975 -0.7126710445514773 native-country=China
0.5437371090952828 0.511505425208146 native-country=Cuba
-2.607339171576247 -0.6306816132337333 native-country=Iran
0.5474228375168803 -0.4206000827468435 native-country=Honduras
-2.022880330454069 1.6846125391753968 native-country=Philippines
-1.3487770831310832 -1.5255041761689248 native-country=Italy
1.170711255416882 -1.563598558887576 native-country=Poland
-1.73167536198876 -0.41094497149323544 native-country=Jamaica
0.4333669485581422 1.351600629486513 native-country=Vietnam
0.697147611387077 -1.2393650018750482 native-country=Mexico
-0.5561886207371535 -1.2141855886941233 native-country=Portugal
-1.5590948768402355 -1.512424928356367 native-country=Ireland
-0.7960483727643937 -0.9623304235558053 native-country=France
-0.5065028650275664 -2.3947917160781507 native-country=Dominican-Republic
0.08854685336058568 0.7751982125737717 native-country=Laos
0.2203416850839927 0.5093299931880053 native-country=Ecuador
0.7211845511197124 -2.2448896141138617 native-country=Taiwan
1.5826394563542914 1.5955049297066575 native-country=Haiti
4.054185865669037 0.7873621320281365 native-country=Columbia
-0.3491190732064615 -0.07194108308123225 native-country=Hungary
-2.1163431102810284 0.3332565569007695 native-country=Guatemala
1.894572342407044 -0.8562391223726104 native-country=Nicaragua
1.0408058144124803 -0.7230721006171699 native-country=Scotland
2.07793853635625 -1.5436634619006622 native-country=Thailand
0.7512356517645667 -0.9110027904819664 native-country=Yugoslavia
0.008462202542744228 -0.18092496015460968 native-country=El-Salvador
0.7342429274926405 0.1240458834269356 native-country=Trinadad&Tobago
-0.3089385584759673 1.938978275882627 native-country=Peru
0.3580432421953127 -0.6984941127575359 native-country=Hong
-0.5834746299367356 -0.025358644724467944 native-country=Holand-Netherlands
Hidden Weights:
-4.285569714727762 4.285569714727765
-4.081821728086672 4.081821728086674
>50K <=50K
Options: -I 4000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1639589695
-H 2
-M 0.01
Input Weights:
-0.4683053564617803 -7.17724017312105 age
0.06848052341772777 0.9274565281930591 workclass=Private
1.0783547814156165 -0.629722761629307 workclass=Self-emp-not-inc
-0.2517111488087277 -0.010139782877198413 workclass=Self-emp-inc
-0.18037615671873922 -2.3370150640386718 workclass=Federal-gov
0.5451972064097778 1.0253496582702413 workclass=Local-gov
0.5272868569754083 -1.017992684493371 workclass=State-gov
0.5744561816437779 -0.6268597507701514 workclass=Without-pay
-0.4229667771992969 -0.6606066026585915 workclass=Never-worked
-0.4889875954636402 1.752177628812543 fnlwgt
0.013940139769767183 -0.33831772269211324 education=Bachelors
0.481699956086673 -0.30805646679244136 education=Some-college
1.1857613310687716 -1.1070792667439024 education=11th
0.19497872002772731 0.17747211047679362 education=HS-grad
-1.1604716527146335 1.0824943886442289 education=Prof-school
0.22884211761070786 -1.2398598639643634 education=Assoc-acdm
0.4946002010826781 -1.1740103745314723 education=Assoc-voc
0.9566452156138064 -2.3784162014574477 education=9th
0.3728250549970898 -0.1363487240177929 education=7th-8th
2.7818555657002366 -1.405891663347618 education=12th
-0.2251891123085903 0.23912307308601555 education=Masters
2.534257629862943 0.7427520784332573 education=1st-4th
1.0468616211555273 0.17148575300345098 education=10th
-1.6657092332204686 1.9865694247183074 education=Doctorate
-1.8005117125475631 3.8155704464057236 education=5th-6th
0.6645089358604177 -0.4468086863975979 education=Preschool
-2.2345823440490187 0.14622659595401966 education-num
-1.7870885691829308 -1.3375340974388077 marital-status=Married-civ-spouse
0.7755430342018244 0.9153166872952639 marital-status=Divorced
1.2005226743489925 -0.5768265211667295 marital-status=Never-married
0.17239259890143072 0.8794691478167265 marital-status=Separated
0.39309685845098 0.8823666282845383 marital-status=Widowed
2.042735009454812 -0.6222516146219784 marital-status=Married-spouse-absent
0.5062249795966421 -0.17810044167419262 marital-status=Married-AF-spouse
-0.43407864249077055 -0.026067949979841354 occupation=Tech-support
-0.09470896274184837 1.1985172624266578 occupation=Craft-repair
1.4550978448579899 -1.958031847103255 occupation=Other-service
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0.1062232724123365 -0.6734584179701156 occupation=Prof-specialty
1.052047251552085 -0.9829635532631638 occupation=Handlers-cleaners
0.27062217153621926 1.2888769357016272 occupation=Machine-op-inspct
0.27666717797833573 0.947076813018238 occupation=Adm-clerical
2.1091883928736075 -0.9301032851657326 occupation=Farming-fishing
0.39101623609387187 0.8886343764230209 occupation=Transport-moving
1.4344921474592287 -0.5739618074651974 occupation=Priv-house-serv
-0.09637488981982102 -2.4526692425195193 occupation=Protective-serv
0.8599620351987252 -0.3160100935795442 occupation=Armed-Forces
-1.404877433687957 3.0844614206062193 relationship=Wife
1.5263246779171995 -1.3553088841318692 relationship=Own-child
0.9926297101533891 0.7646453316593262 relationship=Husband
0.2816324060862226 -0.5501239040748868 relationship=Not-in-family
1.361399836113336 -2.114935213540886 relationship=Other-relative
0.8793747180621856 -1.4694124741232157 relationship=Unmarried
-0.5476367631039392 0.09371914340645274 race=White
-2.197844750482559 3.0437963786176594 race=Asian-Pac-Islander
0.9549880800732552 -1.5205741810162594 race=Amer-Indian-Eskimo
3.444264338816611 -0.956911023567054 race=Other
-0.4016831922340325 0.16224914797301274 race=Black
0.058362014932725026 -1.4849496720805022 sex
-5.426639089773465 -0.8152811024918143 capital-gain
-1.9562489222890813 -1.2009987199241456 capital-loss
-3.9345057237970993 3.754790213369527 hours-per-week
-0.5408657308816217 -0.3284731089864143 native-country=United-States
-3.623730461482676 -0.24126777535157307 native-country=Cambodia
0.3633130019843925 0.5321896545581454 native-country=England
-0.628201139634589 -0.44687958785043974 native-country=Puerto-Rico
-2.046201433706547 2.013649662997829 native-country=Canada
-1.0984953113149398 1.3014036625305783 native-country=Germany
0.29221859811878387 -0.10947766523129364 native-country=Outlying-US(Guam-USVI-etc)
2.24690712426993 -0.27276219556418707 native-country=India
3.1970719079200247 -0.6054654329286953 native-country=Japan
1.407685627612107 1.2837802472449371 native-country=Greece
-1.5268529947343508 1.4328708348736097 native-country=South
0.8952833077720783 -0.7217665145954716 native-country=China
0.5266893895472995 0.532393887734978 native-country=Cuba
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0.5698812268802387 -0.43253707417471116 native-country=Honduras
-2.0271347862422995 1.6936932023186055 native-country=Philippines
-1.3506800467859064 -1.5453240310076297 native-country=Italy
1.1702492331447933 -1.5832663436790264 native-country=Poland
-1.725674329857907 -0.42282324086666323 native-country=Jamaica
0.4310748918025142 1.3764567498339881 native-country=Vietnam
0.6916305953971227 -1.2423082061499242 native-country=Mexico
-0.5569725234691225 -1.22862350740875 native-country=Portugal
-1.5586269577739327 -1.5449979301965957 native-country=Ireland
-0.80353509389498 -0.9628261875414146 native-country=France
-0.5069043288570598 -2.4143671427421127 native-country=Dominican-Republic
0.0852030339681549 0.773038191144024 native-country=Laos
0.23202678292203088 0.5089168038481549 native-country=Ecuador
0.7408656841077403 -2.282419393101566 native-country=Taiwan
1.6018156903217242 1.6026920445785366 native-country=Haiti
4.079665659923204 0.7926873678529148 native-country=Columbia
-0.3486750423373792 -0.07207878776216438 native-country=Hungary
-2.1340316902565633 0.328257614947165 native-country=Guatemala
1.9034496574092046 -0.8560179911983801 native-country=Nicaragua
1.04325654336977 -0.7230255687309154 native-country=Scotland
2.094265722164976 -1.590492129651647 native-country=Thailand
0.7593021670251681 -0.9110871938147139 native-country=Yugoslavia
-2.5701494053206213E-4 -0.16294376114314355 native-country=El-Salvador
0.7400757132668359 0.12842976561110078 native-country=Trinadad&Tobago
-0.3356066017589416 1.978154888937193 native-country=Peru
0.3568326211566714 -0.7021750505432237 native-country=Hong
-0.5830305990675981 -0.02549634940539962 native-country=Holand-Netherlands
Hidden Weights:
-4.281168769509155 4.281168769509154
-4.0573723039235645 4.057372303923566
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4286 85.4636 %
Incorrectly Classified Instances 729 14.5364 %
Mean absolute error 0.2611
Root mean squared error 0.3291
Relative absolute error 70.708 %
Root relative squared error 76.5877 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
739 486 | a = >50K
243 3547 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4183 83.4098 %
Incorrectly Classified Instances 832 16.5902 %
Mean absolute error 0.2691
Root mean squared error 0.3414
Relative absolute error 73.8414 %
Root relative squared error 80.5083 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
669 509 | a = >50K
323 3514 | b = <=50K
|
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