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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.7134092657210296 -0.13889460879743076 age
0.09952460842360478 -0.3468102242839881 workclass=Private
0.2542791741153918 -0.9376894587216944 workclass=Self-emp-not-inc
0.013387055439010975 0.4352569721717363 workclass=Self-emp-inc
0.5495759815878332 0.1789379916224476 workclass=Federal-gov
0.7223421532022294 0.3513725417671032 workclass=Local-gov
-0.06644072497122289 0.6495227437214655 workclass=State-gov
0.7070104234835772 -0.41917842864142507 workclass=Without-pay
-0.7222090350969532 -0.5600582791904385 workclass=Never-worked
0.04980276729107991 -0.7447058674525087 fnlwgt
0.06668367475986359 0.9935216399690954 education=Bachelors
-0.7945611029974291 0.5981818948743496 education=Some-college
-0.5369510652310856 0.9677984375247457 education=11th
-0.5549549421147144 0.08911113062043374 education=HS-grad
0.058556640729525045 -0.30297741973904646 education=Prof-school
-0.668870179199001 -0.14357779358993517 education=Assoc-acdm
0.2562524009878655 -0.4731211478802866 education=Assoc-voc
0.4557143169185891 0.3143056408091569 education=9th
0.6230652223647226 0.6104934016780557 education=7th-8th
-0.670977485111353 0.9787045161142212 education=12th
0.22996289312058682 -0.7763503406228334 education=Masters
-0.31131904227823815 -0.12022859910987438 education=1st-4th
0.3352199553147559 -0.08800473227304595 education=10th
-0.9746427182377286 0.7202739863514365 education=Doctorate
-0.14995916004800036 -0.9475920350883054 education=5th-6th
-0.8250580540470629 -0.6907337444696853 education=Preschool
-0.8378284035434311 0.8918667237839588 education-num
0.26326803168861024 -0.5522841388838622 marital-status=Married-civ-spouse
0.10752776836377276 -0.5138393495959488 marital-status=Divorced
-0.07076578108856735 -0.30449447735435364 marital-status=Never-married
-0.5835977149488591 0.832326878110708 marital-status=Separated
0.8870599950098983 0.863934441706248 marital-status=Widowed
-0.21761078960443836 0.9763571335365104 marital-status=Married-spouse-absent
0.7780287174903955 0.9299367463196011 marital-status=Married-AF-spouse
-0.009594680522844845 -0.9462855437783539 occupation=Tech-support
0.6349746837420591 -0.1481603113501968 occupation=Craft-repair
-0.8044974898111228 -0.37442476107905076 occupation=Other-service
0.8362159850715081 -0.3054975155586639 occupation=Sales
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0.32563493097587126 -0.024257410751713948 occupation=Prof-specialty
-0.8724604047316018 0.6351488051457166 occupation=Handlers-cleaners
0.25693344655954053 -0.6235378148494994 occupation=Machine-op-inspct
0.939905890314304 -0.6613980297784996 occupation=Adm-clerical
-0.3137459281303696 -0.71702261447613 occupation=Farming-fishing
-0.15683972780918976 0.4051187370208973 occupation=Transport-moving
0.060625922320695746 0.13961106613876995 occupation=Priv-house-serv
0.7846011415900782 -0.3664533469248221 occupation=Protective-serv
0.07108227331518768 0.5892820126365792 occupation=Armed-Forces
0.8561970826087408 -0.623222767545742 relationship=Wife
-0.031428771240565645 0.8949991121354623 relationship=Own-child
-0.568265511744241 -0.5970857287795159 relationship=Husband
0.15645598876010736 0.40998635524972893 relationship=Not-in-family
-0.7937217877429195 -0.1415320864753291 relationship=Other-relative
-0.7772565508331799 -0.13848175079443203 relationship=Unmarried
-0.5089098344214913 -0.5346729882593211 race=White
-0.5257949536825335 -0.8849285266891767 race=Asian-Pac-Islander
0.5896019319916885 0.1631931238999189 race=Amer-Indian-Eskimo
-0.6319730601539626 0.7914925557780499 race=Other
-0.7386512069984621 -0.392862572691143 race=Black
0.358063601586073 -0.26032041251118354 sex
-0.30366109564507515 0.4119720048171245 capital-gain
-0.09556473856278136 -0.241328785096947 capital-loss
0.8162896853308694 0.9359850286051987 hours-per-week
-0.4718780409852201 0.17267044396304265 native-country=United-States
-0.44559233679246635 0.3197826623026665 native-country=Cambodia
-0.41387115194309354 0.6657896015270195 native-country=England
-0.27644472420228583 -0.9862186828331103 native-country=Puerto-Rico
0.12624590836119043 -0.8256658976522195 native-country=Canada
0.5641314487999403 -0.8186878729855493 native-country=Germany
-0.04933280816306751 0.32612974712123766 native-country=Outlying-US(Guam-USVI-etc)
0.6869334198245634 -0.836894664680212 native-country=India
-0.45921834355502344 0.8403874113867325 native-country=Japan
0.23055181687318904 -0.8883706083177445 native-country=Greece
-0.5939295877131898 0.10827740199970193 native-country=South
-0.8058735267832593 0.3976318711870368 native-country=China
-0.17824481461347985 0.7328957922224941 native-country=Cuba
0.3599394218649483 0.37228672857866574 native-country=Iran
-0.11509247270170864 0.7055368773491533 native-country=Honduras
-0.5195057748669833 -0.5786436462472702 native-country=Philippines
-0.11183524196131733 -0.060221852695783396 native-country=Italy
-0.31569215713708165 0.3262451547618972 native-country=Poland
-0.30623278581078384 -0.39876658951665056 native-country=Jamaica
-0.2147289394167613 -0.9269806820024324 native-country=Vietnam
0.06685628631650498 0.8030680721331946 native-country=Mexico
0.512503021654666 -0.7845893296584325 native-country=Portugal
-0.2568904594151493 -0.7516048899203587 native-country=Ireland
0.9802754276823953 0.46127525249661416 native-country=France
-0.22213748566081137 -0.027878876578794287 native-country=Dominican-Republic
0.07870467254652724 0.5424587447291351 native-country=Laos
-0.1633633944220334 -0.1329252672959791 native-country=Ecuador
0.19214362562276088 0.8427912210307282 native-country=Taiwan
0.3939760317326766 0.7914713993157396 native-country=Haiti
0.7689435196803878 -0.6359851581024247 native-country=Columbia
-0.869039566180912 0.08483596182849773 native-country=Hungary
-0.9823637206105045 0.03960026314320175 native-country=Guatemala
-0.5472812548545285 -0.1759412256734274 native-country=Nicaragua
0.35350259463399714 0.2651490647293371 native-country=Scotland
0.2454882560004743 -0.594305576824848 native-country=Thailand
0.34758224245450964 0.8736765938340127 native-country=Yugoslavia
-0.5132405247500893 -0.460937779599331 native-country=El-Salvador
-0.2621631166780676 0.18553484010085564 native-country=Trinadad&Tobago
-0.1909153558880914 0.6900700179566353 native-country=Peru
0.6685382378179276 -0.2841612650874834 native-country=Hong
0.7642225342818894 0.8595904880853082 native-country=Holand-Netherlands
Hidden Weights:
-0.5257882039512378 0.46307220226067103
0.0022608806159714057 -0.19727070237766742
>50K <=50K
Error sum for iteration 100 = 755.6896686761102
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.8265808050928766 -1.2409374404649627 age
0.5275942894350636 0.35814234822140184 workclass=Private
1.6787122570425286 -0.7536495096864083 workclass=Self-emp-not-inc
-0.3000384101644694 0.19646449838370558 workclass=Self-emp-inc
-0.12238701387469525 -0.14038095824999594 workclass=Federal-gov
0.927072481370428 0.5056588000876246 workclass=Local-gov
0.5650284821217959 0.8664746674009881 workclass=State-gov
0.8291227834154737 -0.368520555258386 workclass=Without-pay
-0.6005139552259269 -0.5098731356395434 workclass=Never-worked
0.21055616587721016 -0.6912134765655107 fnlwgt
-0.43269184809727607 0.25271819565013715 education=Bachelors
0.06251002511362452 0.9580660153088876 education=Some-college
0.3089212503646087 1.257331491412042 education=11th
-0.03026356753210489 0.655704582934268 education=HS-grad
-0.9530362563817613 -0.8436246846159724 education=Prof-school
-0.3866674025008984 0.27377920205305795 education=Assoc-acdm
0.20747786518931624 -0.2779840263648581 education=Assoc-voc
1.020630515936424 0.54262034546195 education=9th
1.0730252589235119 0.7954443377266956 education=7th-8th
-0.05313920491418436 1.2345290974195438 education=12th
-0.2388800701423746 -0.9777176013493726 education=Masters
0.0028326331739305533 0.004870914852480091 education=1st-4th
1.0016908786558738 0.1695376618599177 education=10th
-1.5286654344036483 0.2213640923315517 education=Doctorate
0.020954416250231152 -0.7319799756947388 education=5th-6th
-0.6158557877989753 -0.6004113685957531 education=Preschool
-2.212248398195744 0.013168745777490946 education-num
-0.8516932283508453 -1.026918192822316 marital-status=Married-civ-spouse
0.8756157541899434 -0.06003525311635599 marital-status=Divorced
1.218924438260375 0.19285744432911878 marital-status=Never-married
-0.0851988443141067 0.9801208553748573 marital-status=Separated
0.6674073244536652 0.7046620430405016 marital-status=Widowed
0.21373273431371556 1.175169816989036 marital-status=Married-spouse-absent
0.9505482464237122 1.0188576733073897 marital-status=Married-AF-spouse
-0.2537078976384707 -0.7703682876038788 occupation=Tech-support
0.11514660895498152 -0.14317331097749586 occupation=Craft-repair
0.7398514812707336 0.39546697314366996 occupation=Other-service
-3.3270894113111474E-4 -0.29518641270802226 occupation=Sales
-0.8702649120361184 -0.09729575576813448 occupation=Exec-managerial
0.22218672904980505 -0.8748107569088454 occupation=Prof-specialty
0.1302353092576473 1.2013066564585604 occupation=Handlers-cleaners
0.8884062925883897 -0.23462805496292308 occupation=Machine-op-inspct
0.6406723422246806 -0.33988307932739614 occupation=Adm-clerical
1.2866508616771586 -0.13829719068413998 occupation=Farming-fishing
0.2665019280638539 0.5228580143344668 occupation=Transport-moving
0.2439499708705841 0.22858172162489843 occupation=Priv-house-serv
0.4118842158961664 -0.5702864141682735 occupation=Protective-serv
0.19463021311475392 0.6401312893034043 occupation=Armed-Forces
-0.615959223342288 -1.0064896319395458 relationship=Wife
0.6458024975069535 1.1686377995246557 relationship=Own-child
0.10446192420593041 -0.5995594477999555 relationship=Husband
0.05389790675018922 0.13528649802675674 relationship=Not-in-family
0.0051732173342051435 0.3768033974541689 relationship=Other-relative
0.35233524554755985 0.4325765282364297 relationship=Unmarried
-0.38189822588216393 -0.5231226319801695 race=White
-0.1626172224513522 -0.7818213120376972 race=Asian-Pac-Islander
0.7885690183878271 0.2656291920943657 race=Amer-Indian-Eskimo
-0.1517234491611231 1.0597778991577118 race=Other
-0.326021205834352 -0.22583468903443085 race=Black
0.39083839928452463 -1.0695157267719657 sex
-1.1440685241743298 -0.004986474375298906 capital-gain
-1.3892287599121205 -0.555825009322674 capital-loss
-1.9082341498110298 -0.20400364146605374 hours-per-week
-0.3688987471581019 0.00871867222622862 native-country=United-States
-0.46766670199172183 0.2976679586134094 native-country=Cambodia
-0.036730571072610026 0.8020772589536158 native-country=England
-0.04157247685061239 -0.8857727149892903 native-country=Puerto-Rico
-0.06718916765546566 -0.8249224015633753 native-country=Canada
0.5124841765859339 -0.7035278212425742 native-country=Germany
0.08186130452905044 0.3815048601111715 native-country=Outlying-US(Guam-USVI-etc)
1.1279563245833437 -0.7565504257075459 native-country=India
-0.19578304464649388 0.9115992132496519 native-country=Japan
0.4236105290056017 -0.8101754377291891 native-country=Greece
-0.4103460441710468 0.17401703452554357 native-country=South
-0.37627875498315155 0.552370422442312 native-country=China
0.2071153230118577 0.938539503771351 native-country=Cuba
-0.013129378501464912 0.19497604633734877 native-country=Iran
0.03834818614426859 0.7727767792325675 native-country=Honduras
-0.5020048751031436 -0.528187575174447 native-country=Philippines
-0.2935038280233717 -0.10971042589897481 native-country=Italy
0.03329495768347911 0.4302453763909679 native-country=Poland
-0.3592419379387259 -0.44067929893930596 native-country=Jamaica
0.03359358098758413 -0.8292864890927075 native-country=Vietnam
0.682260381778494 1.1367639595669805 native-country=Mexico
0.5392549170384553 -0.7501868921209033 native-country=Portugal
-0.1957510753545772 -0.7002619892009901 native-country=Ireland
1.0282004330909116 0.4850723609169894 native-country=France
-0.1770291681737063 -0.01778141673686379 native-country=Dominican-Republic
0.2627298067634027 0.6263627061121761 native-country=Laos
-0.02719312801378748 -0.07173269894759653 native-country=Ecuador
0.0756546347334138 0.825352913949038 native-country=Taiwan
0.6038902152816784 0.884953796053555 native-country=Haiti
1.0830397442346913 -0.5531800588117979 native-country=Columbia
-0.7473444863098857 0.13502110537938256 native-country=Hungary
-0.8938080106092863 0.09656751655182781 native-country=Guatemala
-0.24884922022880898 -0.07285639355782957 native-country=Nicaragua
0.47984026886340736 0.31897252665626 native-country=Scotland
0.4039915603409723 -0.5404081611710514 native-country=Thailand
0.49087909736757734 0.938011001691627 native-country=Yugoslavia
-0.20393406650441276 -0.3162443350855606 native-country=El-Salvador
-0.07463682151862608 0.27498305696521685 native-country=Trinadad&Tobago
-0.06734959962679708 0.7432391714554866 native-country=Peru
0.7930478429826602 -0.23065655671456017 native-country=Hong
0.8859176141529157 0.9097756316362033 native-country=Holand-Netherlands
Hidden Weights:
-3.1763246272705774 3.177132100888127
-1.5545324762424375 1.5539391228134753
>50K <=50K
Error sum for iteration 200 = 758.6331387377547
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-1.0393780536069248 -1.7491477653553489 age
0.5564817662184699 0.3671765534560734 workclass=Private
1.679262571334248 -0.8463199028760839 workclass=Self-emp-not-inc
-0.06059095021159745 0.27558652089802804 workclass=Self-emp-inc
-0.029338008253176333 -0.028086132609974782 workclass=Federal-gov
0.9259726468943615 0.5717066363243489 workclass=Local-gov
0.6061115027120095 0.8469204856763987 workclass=State-gov
0.8577481931028613 -0.3579533593588727 workclass=Without-pay
-0.5718110983958469 -0.49888370159879686 workclass=Never-worked
0.18171148005130688 -0.7378214006218213 fnlwgt
-0.4078718124548686 0.3394688784073407 education=Bachelors
0.06536822074210034 0.8041678323800037 education=Some-college
0.4161661903240363 1.1790419175429798 education=11th
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0.16307321856576684 -0.22024601750129014 education=Assoc-voc
1.046943470364918 0.5856329507236632 education=9th
1.0532568959912618 0.7514155051841093 education=7th-8th
0.28303423672957395 1.3483321669093777 education=12th
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0.1739673394668944 0.05481278835478693 education=1st-4th
1.049516349900125 0.175041518596694 education=10th
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0.07623963324819624 1.0232576208765984 marital-status=Separated
0.5014278432063355 0.6416551248327479 marital-status=Widowed
0.620863296119335 1.2399079421086852 marital-status=Married-spouse-absent
1.001370110090339 1.0428362694501403 marital-status=Married-AF-spouse
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0.8062361576073077 -0.2209025574553046 occupation=Machine-op-inspct
0.5938116817934692 -0.1909592087222321 occupation=Adm-clerical
1.6538581085573498 0.09453206395481334 occupation=Farming-fishing
0.37049055389207125 0.4090328833503585 occupation=Transport-moving
0.3118494802540972 0.2562189373296161 occupation=Priv-house-serv
0.14991017510306828 -0.7256552928824673 occupation=Protective-serv
0.22734678898306754 0.6538044497053203 occupation=Armed-Forces
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0.5520085131442481 1.0489337036905502 relationship=Own-child
0.37633980091024793 -0.4167987096180687 relationship=Husband
0.10484172605779589 0.11972807107312669 relationship=Not-in-family
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0.7971987624921777 0.26347748103906454 race=Amer-Indian-Eskimo
0.3673694638497155 1.253693604840627 race=Other
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0.2485082307230138 -1.3079808371417658 sex
-1.741709575634204 -0.2417197875572205 capital-gain
-1.9589518117955589 -0.549074652401574 capital-loss
-2.7298645809296627 -0.48387258542210726 hours-per-week
-0.2657948508149623 -0.08351230156459728 native-country=United-States
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0.19858680397270162 0.8869858977894016 native-country=England
0.08243573058724711 -0.8297631221934225 native-country=Puerto-Rico
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0.33989148785922957 -0.6400503125312726 native-country=Germany
0.11860927418504112 0.39720934916475137 native-country=Outlying-US(Guam-USVI-etc)
1.3874678928422368 -0.7392796132279241 native-country=India
0.04952274492510576 0.9416341140533798 native-country=Japan
0.6274158601106888 -0.7516395953525788 native-country=Greece
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0.4200417487343666 1.0630315087231763 native-country=Cuba
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0.10567092305345803 0.803170463154195 native-country=Honduras
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0.3118349726689363 0.5343649482692936 native-country=Poland
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0.17133846959020266 -0.7957733564015788 native-country=Vietnam
0.7893493262734256 1.1629844956894704 native-country=Mexico
0.4422922421080908 -0.7664355345461304 native-country=Portugal
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0.9478282851466626 0.46143560869727784 native-country=France
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0.34425191410232614 0.667837828450852 native-country=Laos
0.008750749233410664 -0.05282204979100097 native-country=Ecuador
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0.7036129758214844 0.9270850013338041 native-country=Haiti
1.3808727389580293 -0.5003184010232828 native-country=Columbia
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0.5132947846367321 0.33394797469320553 native-country=Scotland
0.4918060818136041 -0.5144404245512685 native-country=Thailand
0.54321466020368 0.9634988870278399 native-country=Yugoslavia
0.003211867725694029 -0.2184999320732981 native-country=El-Salvador
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0.8218271639566715 -0.21952464235976174 native-country=Hong
0.9146204709829957 0.9207650656769589 native-country=Holand-Netherlands
Hidden Weights:
-3.584448852422934 3.5844728615938366
-1.4698801857215962 1.4698614556269096
>50K <=50K
Error sum for iteration 300 = 750.086718176179
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-1.011533949505211 -2.185706239236878 age
0.5881012421071315 0.3390130047690912 workclass=Private
1.6556971065039303 -0.8930812181335778 workclass=Self-emp-not-inc
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0.9520832911471069 0.6027171261652112 workclass=Local-gov
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0.86736547881062 -0.35338061967883 workclass=Without-pay
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0.13869190030675008 -0.7702885823134437 fnlwgt
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0.4937039832116502 1.0552809977058109 education=11th
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0.12392336028507145 -0.2061838291411618 education=Assoc-voc
1.0035232472831994 0.5984811723248353 education=9th
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0.30248014105960846 0.0798609073947201 education=1st-4th
1.0457938680537766 0.1592138769547455 education=10th
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0.09663775084283872 1.0539758912791284 marital-status=Separated
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0.9072646077020857 1.2077858555580863 marital-status=Married-spouse-absent
1.0232274731570825 1.0546596326002702 marital-status=Married-AF-spouse
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0.5639318806114452 -0.11230204321189802 occupation=Adm-clerical
1.7903906617768666 0.1915208294361093 occupation=Farming-fishing
0.4560857452507063 0.2612487974695737 occupation=Transport-moving
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0.1591340831378245 0.4613693284985279 relationship=Other-relative
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0.7727810601956188 1.3756011425991075 race=Other
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0.26450830974065953 -1.4797840083759581 sex
-2.194326043319001 -0.38995662582226914 capital-gain
-2.1668969873075206 -0.4114756738141532 capital-loss
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0.8348927722915387 1.1308487275884886 native-country=Mexico
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0.8506858629783418 0.4355288288216093 native-country=France
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0.400737191330964 0.6974481592392512 native-country=Laos
0.02530609347839945 -0.04108660735366329 native-country=Ecuador
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0.7749757725772338 0.9574344349854614 native-country=Haiti
1.6575218413202975 -0.4577477584832839 native-country=Columbia
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0.15842445306736422 0.02679832231437222 native-country=Nicaragua
0.5283273539333633 0.3439598188803225 native-country=Scotland
0.5660001114370463 -0.4942986619200182 native-country=Thailand
0.5811930615858081 0.9836245552539054 native-country=Yugoslavia
0.15063938985102307 -0.14330541536855415 native-country=El-Salvador
0.04690598617597442 0.3458361385766999 native-country=Trinadad&Tobago
0.029492363951275576 0.8068954296551654 native-country=Peru
0.8314360790716523 -0.21479885578408411 native-country=Hong
0.9242762931518305 0.9255981360257124 native-country=Holand-Netherlands
Hidden Weights:
-3.708413520345189 3.7084141285380663
-1.447838721426824 1.4478382864276722
>50K <=50K
Error sum for iteration 400 = 742.5129023355566
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.95450925968027 -2.627091240033215 age
0.603009521248683 0.33377418878161325 workclass=Private
1.6350233815216684 -0.9397943498135956 workclass=Self-emp-not-inc
0.026683951658299263 0.22760962106488264 workclass=Self-emp-inc
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0.658400495518644 0.8711813915693288 workclass=State-gov
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0.10499160124238265 -0.7916419019102525 fnlwgt
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0.6869574074342891 1.4382073297762752 education=12th
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0.4088827880741736 0.09041622407289207 education=1st-4th
1.0297036936202046 0.15203093430004602 education=10th
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1.0998724132420896 1.132529195146139 marital-status=Married-spouse-absent
1.0358897008010188 1.0631806462291633 marital-status=Married-AF-spouse
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1.0625491094967978 1.4559072913682223 race=Other
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1.6493574035412053 -0.7722297781956198 native-country=India
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0.6142842388137506 1.0021096917941374 native-country=Yugoslavia
0.25779856268241647 -0.08482746270072254 native-country=El-Salvador
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Hidden Weights:
-3.7555269609211592 3.7555269710540764
-1.4454733736677596 1.445473367722261
>50K <=50K
Error sum for iteration 500 = 737.009947235907
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.8918087501226001 -3.0668071719587022 age
0.6084820508528759 0.34497294161897385 workclass=Private
1.620564020048036 -0.9897890146372084 workclass=Self-emp-not-inc
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1.2791445736740403 1.5127873729042014 race=Other
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0.31860557265926887 -1.76162705868513 sex
-2.9545169948214833 -0.5749487686275666 capital-gain
-2.3273747444274395 -0.06527707464692951 capital-loss
-2.9456152126321125 -0.39205074810256224 hours-per-week
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1.7340007679317442 -0.7970051558699771 native-country=India
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1.1453901003972367 -0.6066479863350831 native-country=Greece
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0.7310774336628848 1.2923541698213985 native-country=Cuba
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0.8535933112013896 1.0065448604563503 native-country=Mexico
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0.6680925067757751 0.3926191115782347 native-country=France
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0.497042022518653 0.7449981744836941 native-country=Laos
0.046181613269756665 -0.02371742214908171 native-country=Ecuador
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0.8933803419814846 1.006009033147899 native-country=Haiti
2.1181004807183954 -0.3931766793622823 native-country=Columbia
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0.546388277819721 0.3607837437559049 native-country=Scotland
0.6899385237180299 -0.4646025168620569 native-country=Thailand
0.6448335914253356 1.0190103989992674 native-country=Yugoslavia
0.3360002518647346 -0.03867360570884479 native-country=El-Salvador
0.11964276851043792 0.3886527497061907 native-country=Trinadad&Tobago
0.10745079432371285 0.8679368899489154 native-country=Peru
0.8380467510621429 -0.2096592579331116 native-country=Hong
0.9312955525627732 0.9315714109336675 native-country=Holand-Netherlands
Hidden Weights:
-3.776620132276349 3.776620132390196
-1.456708342609096 1.4567083425606502
>50K <=50K
Error sum for iteration 600 = 733.3102347707813
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.8261693518576224 -3.493212431513537 age
0.6110212831290461 0.3560412966882202 workclass=Private
1.6122834667161068 -1.0380801117019098 workclass=Self-emp-not-inc
0.05477280152105665 0.15177552980621103 workclass=Self-emp-inc
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1.0345521844160592 0.4790079272375281 workclass=Local-gov
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0.0694206481697702 -0.8303673650329202 fnlwgt
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1.3154845156108792 0.9532946753345405 marital-status=Married-spouse-absent
1.0505596342092698 1.0746944216630734 marital-status=Married-AF-spouse
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0.33752852639750075 -1.8691231044686023 sex
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0.6736013873113172 1.034344978837257 native-country=Yugoslavia
0.3922912731007949 -0.0018751001393144953 native-country=El-Salvador
0.1499794977858049 0.40440630195582616 native-country=Trinadad&Tobago
0.139332286013332 0.8934238699634138 native-country=Peru
0.8393150186229403 -0.20872412323974818 native-country=Hong
0.9329295237153661 0.9331504856669752 native-country=Holand-Netherlands
Hidden Weights:
-3.7896819251328773 3.7896819251338503
-1.480098128856865 1.4800981288566615
>50K <=50K
Error sum for iteration 700 = 730.6876741747346
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.7606356169111639 -3.8983627550091606 age
0.6145676816496993 0.35369767672959995 workclass=Private
1.6125739242643296 -1.0819573317475333 workclass=Self-emp-not-inc
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0.06405758894126082 -0.8510891562735146 fnlwgt
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1.076922852431989 1.4701415320125188 education=12th
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1.0552363772162883 1.0782181953001964 marital-status=Married-AF-spouse
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0.34897649505544015 -1.954327361281959 sex
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1.8627467350136704 -0.8520361484777255 native-country=India
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0.560665621159699 0.3725737418701072 native-country=Scotland
0.7987070382707591 -0.4440172679123652 native-country=Thailand
0.7009784985700347 1.0480587049802164 native-country=Yugoslavia
0.43135979371206135 0.02729391816222394 native-country=El-Salvador
0.17754822012300595 0.4171454767238454 native-country=Trinadad&Tobago
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0.8401145909731158 -0.20878784695482952 native-country=Hong
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Hidden Weights:
-3.8006474294543517 3.800647429454356
-1.513996280820943 1.5139962808209426
>50K <=50K
Error sum for iteration 800 = 728.7100694992823
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.6962697231919837 -4.2787346980000445 age
0.6211064551984604 0.3310588549901138 workclass=Private
1.6202533696963248 -1.1222310320466127 workclass=Self-emp-not-inc
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1.6997018923009917 1.6098911251592283 race=Other
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0.3532446036024696 -2.0154274241604515 sex
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-3.0036020198023388 -0.026137146801493805 hours-per-week
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1.4849851260218236 -0.5102683179566789 native-country=Greece
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0.4480468146709676 0.34213772241857116 native-country=France
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0.4563528060160147 0.04966766447885221 native-country=El-Salvador
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Hidden Weights:
-3.8114789531166817 3.811478953116682
-1.559547139032529 1.55954713903253
>50K <=50K
Error sum for iteration 900 = 727.4897547559759
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.6301354755586532 -4.635591772003453 age
0.6311959293192496 0.28605250765808476 workclass=Private
1.631282770282283 -1.1602639474537482 workclass=Self-emp-not-inc
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0.7517497653841048 1.0691990682252488 native-country=Yugoslavia
0.4693669411978497 0.06553487735311084 native-country=El-Salvador
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0.8407973136757312 -0.21300566825165862 native-country=Hong
0.9360955569800988 0.9313921417874086 native-country=Holand-Netherlands
Hidden Weights:
-3.827168940910616 3.8271689409106178
-1.6239390066084327 1.6239390066084327
>50K <=50K
Error sum for iteration 1000 = 727.314857880961
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.5580987994759871 -4.973344104818814 age
0.6451192553814664 0.21788206392764092 workclass=Private
1.6433921674313048 -1.195945028557997 workclass=Self-emp-not-inc
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1.8746837960033333 1.6276940747077566 race=Other
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0.3454624875139652 -2.05269355926449 sex
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1.1085116613866814 1.0668271263556872 native-country=Haiti
2.9362401159840426 -0.28166881334897836 native-country=Columbia
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0.7750947572741581 1.0754611967670649 native-country=Yugoslavia
0.47184298080183074 0.07497425457286683 native-country=El-Salvador
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0.9365271507146978 0.9273599948335185 native-country=Holand-Netherlands
Hidden Weights:
-3.8553430971369473 3.855343097136947
-1.719703564553992 1.7197035645539924
>50K <=50K
Error sum for iteration 1100 = 728.3355539220341
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.47670084107578503 -5.2974589670727195 age
0.6635804021067051 0.12719658525887226 workclass=Private
1.6560278190056683 -1.2284031846448233 workclass=Self-emp-not-inc
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0.076983088446492 -0.9198189363727103 fnlwgt
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0.7083277882771747 0.5427007602875932 education=9th
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1.3929418329628978 1.3785137160158263 education=12th
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1.0553891365906634 0.03276767616341524 education=1st-4th
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1.2583293611795077 -0.6631016090402946 marital-status=Divorced
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1.940446487997142 1.620069920814104 race=Other
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0.3282084708430617 -2.014621352926621 sex
-4.597452697256855 -0.7478780442654889 capital-gain
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-3.045184116198789 0.40191558836778263 hours-per-week
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2.0466880341985534 -0.9657618462826915 native-country=India
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Hidden Weights:
-3.90240878114082 3.902408781140821
-1.8590374831255578 1.8590374831255587
>50K <=50K
Error sum for iteration 1200 = 730.4581245615254
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
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0.6867346933320055 0.022834285171444185 workclass=Private
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3.1920912207183547 -0.24049631167163965 native-country=Columbia
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0.8181692796307432 1.0773656384118009 native-country=Yugoslavia
0.45003822706714797 0.07883772750747874 native-country=El-Salvador
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0.8388956950270607 -0.23545090561934906 native-country=Hong
0.9365224829769434 0.9130519940511582 native-country=Holand-Netherlands
Hidden Weights:
-3.9670170777780673 3.9670170777780682
-2.0379364600139276 2.0379364600139276
>50K <=50K
Error sum for iteration 1300 = 733.0028772691032
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
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1.6815018855401918 -1.2871170514910788 workclass=Self-emp-not-inc
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1.1929726500739992 1.0655253001173588 native-country=Haiti
3.3080829639893916 -0.21395426343500082 native-country=Columbia
-0.69665762604609 0.1304226755138927 native-country=Hungary
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1.0171714062144115 0.16825534532739586 native-country=Nicaragua
0.5910429882172535 0.3569752158469448 native-country=Scotland
1.1175402911498922 -0.4378533917210788 native-country=Thailand
0.8381968668464599 1.0748580690455354 native-country=Yugoslavia
0.42924708951188323 0.0789764657298796 native-country=El-Salvador
0.2817105148435483 0.4257899075709189 native-country=Trinadad&Tobago
0.23234639276448077 0.9457312382893438 native-country=Peru
0.8381710242357193 -0.24527498948898663 native-country=Hong
0.9366044744167114 0.9051772017707488 native-country=Holand-Netherlands
Hidden Weights:
-4.036347145566942 4.036347145566941
-2.2245866710497633 2.224586671049761
>50K <=50K
Error sum for iteration 1400 = 735.3486131279075
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.1915515220160578 -6.22613639036108 age
0.7348551218807826 -0.1492335981712382 workclass=Private
1.691446561871747 -1.317087543114951 workclass=Self-emp-not-inc
0.17499651684847004 -0.36505714044568427 workclass=Self-emp-inc
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1.111476977035322 0.1522374851375705 workclass=Local-gov
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0.09289091896137298 -0.9091691358113182 fnlwgt
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1.5156912729156085 1.1896010755728428 education=12th
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1.4328092501103384 0.02504918653332131 education=1st-4th
0.7260083281896029 -0.02828605973995209 education=10th
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1.5842601849402285 0.5037876650656302 marital-status=Married-spouse-absent
1.0536829021720162 1.0465788585245612 marital-status=Married-AF-spouse
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0.681186662603855 -0.4505071182666837 occupation=Adm-clerical
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2.0720363849431984 1.5406597433059361 race=Other
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0.21523743937631312 -1.7238404931340214 sex
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2.12757766198714 -1.0236520997072351 native-country=India
1.7128576169219614 0.8110034635227189 native-country=Japan
1.8278569272221035 -0.42321353390394895 native-country=Greece
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0.7483144135865226 1.2510765980287726 native-country=China
0.7681429304410897 1.4848917867191742 native-country=Cuba
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0.7744585318832119 -0.9695697366205661 native-country=Vietnam
0.8347945376211886 -0.11910191049160673 native-country=Mexico
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0.15322632434650174 0.2305309487156838 native-country=France
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0.7897303397877617 0.8166031716045323 native-country=Laos
0.13205470047484483 -0.02663586368474499 native-country=Ecuador
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1.2171187662320146 1.0639110168913706 native-country=Haiti
3.412266484086761 -0.18202434078476362 native-country=Columbia
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1.0628433482237476 0.17177676512221163 native-country=Nicaragua
0.5947304437191856 0.35094116838690137 native-country=Scotland
1.1651007653743792 -0.44514651816119066 native-country=Thailand
0.857266012469366 1.0719390039269783 native-country=Yugoslavia
0.4048019109373239 0.08106540221456313 native-country=El-Salvador
0.2887144282689551 0.42002598606739955 native-country=Trinadad&Tobago
0.2303066071653614 0.9428784582306099 native-country=Peru
0.83778419499055 -0.25392230609296107 native-country=Hong
0.9369778448197911 0.8985706877299076 native-country=Holand-Netherlands
Hidden Weights:
-4.0972884359698165 4.0972884359698165
-2.385420077721798 2.3854200777217978
>50K <=50K
Error sum for iteration 1500 = 737.1081077324271
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
-0.1059680324576743 -6.516391034574563 age
0.7541862415272761 -0.2019468398080321 workclass=Private
1.6987170946749 -1.34753494991827 workclass=Self-emp-not-inc
0.20591769336718657 -0.457423725839015 workclass=Self-emp-inc
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1.1192900522878182 0.13650057914072364 workclass=Local-gov
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0.09143661814520886 -0.8902951466788014 fnlwgt
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1.5443112388346212 1.119113124572742 education=12th
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1.5640444957212243 0.034948581888167754 education=1st-4th
0.692793605109006 -0.06876578392979037 education=10th
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1.6247102441445678 0.46429910090085075 marital-status=Married-spouse-absent
1.0502342949591628 1.0399475687785082 marital-status=Married-AF-spouse
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2.1031111673630143 1.5064970403340934 race=Other
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2.141866626347376 -1.0365018011499214 native-country=India
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3.5013159364814346 -0.14760150151786208 native-country=Columbia
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0.3786789215770072 0.08566660351439467 native-country=El-Salvador
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0.937631162661173 0.8932353289880797 native-country=Holand-Netherlands
Hidden Weights:
-4.1453457790891965 4.1453457790891965
-2.5106146228077866 2.510614622807787
>50K <=50K
Error sum for iteration 1600 = 738.1436532264348
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
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0.7692090406211066 -0.23632722286808674 workclass=Private
1.703992130802867 -1.3773611308391374 workclass=Self-emp-not-inc
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0.19652544603616218 0.3812196405775497 native-country=Outlying-US(Guam-USVI-etc)
2.1516397310895337 -1.0471308173203642 native-country=India
1.8435102810942776 0.7694052415234349 native-country=Japan
1.8756271680265815 -0.40726233054679095 native-country=Greece
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0.7474341851395921 1.2399033133540514 native-country=China
0.713473285484484 1.493353623533789 native-country=Cuba
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0.6020398982627463 1.2550303184245888 native-country=Poland
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0.8284568605137409 -1.012878306909889 native-country=Vietnam
0.8504955022696844 -0.3429138092246028 native-country=Mexico
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0.07900424884269941 0.19547880868726653 native-country=France
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0.8107406308390821 0.8147912189048713 native-country=Laos
0.16518180899251478 -0.03141648472076977 native-country=Ecuador
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1.2645001338919202 1.064171044512254 native-country=Haiti
3.5739335312366505 -0.11475710421167316 native-country=Columbia
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1.1454402257980485 0.1795722627792004 native-country=Nicaragua
0.6023854266326373 0.3420414549251845 native-country=Scotland
1.239774302473949 -0.4636138201391333 native-country=Thailand
0.8927960603313555 1.0660667607668795 native-country=Yugoslavia
0.35238931919533323 0.09293419102301738 native-country=El-Salvador
0.2985805193357353 0.40997399521322436 native-country=Trinadad&Tobago
0.2150771095459355 0.9380314166125951 native-country=Peru
0.8380185855183842 -0.2672850854573196 native-country=Hong
0.9385101034119295 0.8888561907930403 native-country=Holand-Netherlands
Hidden Weights:
-4.181173323616296 4.1811733236162985
-2.6046183971938763 2.6046183971938768
>50K <=50K
Error sum for iteration 1700 = 738.5165094803182
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.02410828539657136 -7.044378176335806 age
0.7801268718166509 -0.256478784116518 workclass=Private
1.7077765481168183 -1.4055769408237924 workclass=Self-emp-not-inc
0.2589618508903518 -0.6201585696783171 workclass=Self-emp-inc
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0.07473170204185449 -0.8378713328680225 fnlwgt
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0.6342074783859011 -0.14523484701081826 education=10th
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1.043231726188248 1.028845374290534 marital-status=Married-AF-spouse
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2.1587470421839923 1.436460403364635 race=Other
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0.11813054161084796 -1.4659544522927213 sex
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1.287977184533579 1.0658138817933926 native-country=Haiti
3.6312132211263615 -0.08648999832733463 native-country=Columbia
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1.1831501327231688 0.18353775950576912 native-country=Nicaragua
0.6063431199311112 0.3386761827321785 native-country=Scotland
1.2670019450570318 -0.47446159167389595 native-country=Thailand
0.9094516516306265 1.0631216121997196 native-country=Yugoslavia
0.3269093687655906 0.10287842309099006 native-country=El-Salvador
0.30230703005619 0.40565949201568896 native-country=Trinadad&Tobago
0.2029710409121598 0.9353303245767312 native-country=Peru
0.8385323427963755 -0.2724454024741883 native-country=Hong
0.9395562941963679 0.8851814077107258 native-country=Holand-Netherlands
Hidden Weights:
-4.2068789381562945 4.206878938156291
-2.674711088822399 2.6747110888223973
>50K <=50K
Error sum for iteration 1800 = 738.38630334438
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.07138873625018603 -7.281146747560915 age
0.7875147985664418 -0.2657993994358465 workclass=Private
1.7103948647706158 -1.4315982742437956 workclass=Self-emp-not-inc
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0.06159980255131729 -0.8057920159945847 fnlwgt
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1.926832481824967 0.0756431253735792 education=1st-4th
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1.0396436911768066 1.0239522483722965 marital-status=Married-AF-spouse
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3.6757059365012412 -0.06387326085774803 native-country=Columbia
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0.9254576677473209 1.0601676546642236 native-country=Yugoslavia
0.3027225433554363 0.11538287928401189 native-country=El-Salvador
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Hidden Weights:
-4.22467527121886 4.224675271218859
-2.7273502350929912 2.727350235092991
>50K <=50K
Error sum for iteration 1900 = 737.8776613691718
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.11007507724811946 -7.5016477132858 age
0.7920260281353835 -0.2667834944782724 workclass=Private
1.7120960116865 -1.4552213252189272 workclass=Self-emp-not-inc
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0.3440966679047388 0.7214784412051096 occupation=Transport-moving
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0.7050186378280214 -0.6683313678665931 race=Amer-Indian-Eskimo
2.211734685885408 1.3648947551862096 race=Other
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0.07224038927659707 -1.3485042721605212 sex
-5.278247731993085 -0.49389469476389525 capital-gain
-2.511241843680682 1.359229693550278 capital-loss
-2.9046741946195556 0.986814999121507 hours-per-week
-0.08410267809515364 -1.2408311568465145 native-country=United-States
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0.4425869404079276 0.6153681853121323 native-country=England
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2.167809005727345 -1.0700326819890458 native-country=India
2.0039750044316453 0.7107351690678533 native-country=Japan
1.9110848635029436 -0.38877591150665136 native-country=Greece
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0.7346595627429515 1.1901972769925702 native-country=China
0.664122349584698 1.512736651883724 native-country=Cuba
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0.525722044654759 1.3571726070997057 native-country=Poland
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0.9016559237848822 -1.1081268957351946 native-country=Vietnam
0.8945104139437753 -0.586752331575004 native-country=Mexico
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0.8289246146588107 0.8111636670334066 native-country=Laos
0.22135661958902114 -0.03716986728933966 native-country=Ecuador
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1.3339579687098237 1.0710643011356353 native-country=Haiti
3.710252609825468 -0.04656488657204751 native-country=Columbia
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1.2526136797614118 0.19114835514239897 native-country=Nicaragua
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1.3055326881718112 -0.4978750478757377 native-country=Thailand
0.94085484828889 1.057211562472448 native-country=Yugoslavia
0.2799578197458626 0.13024708730647638 native-country=El-Salvador
0.3084498589165403 0.3982256803838379 native-country=Trinadad&Tobago
0.17436585896321494 0.9293041563896163 native-country=Peru
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Hidden Weights:
-4.236443171971139 4.236443171971138
-2.767597929811746 2.7675979298117466
>50K <=50K
Error sum for iteration 2000 = 737.1023152559388
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.1424038043701458 -7.707972016276739 age
0.7942392808741662 -0.2611611492654907 workclass=Private
1.71307239303145 -1.4764452451242676 workclass=Self-emp-not-inc
0.3099034263360236 -0.8094823565623264 workclass=Self-emp-inc
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0.03086191191827145 -0.7326715152351851 fnlwgt
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2.1313898918009646 0.10047539850843021 education=1st-4th
0.5671063996327949 -0.24784359676772025 education=10th
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0.015189795314157668 -0.4300748440094105 education=Preschool
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1.761556593312481 0.3251663340792 marital-status=Married-spouse-absent
1.0321645100078338 1.0148676425751169 marital-status=Married-AF-spouse
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2.2384928402304567 1.3284762193823445 race=Other
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0.05438714946916896 -1.3038509232850164 sex
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3.737317037123462 -0.033640001919847166 native-country=Columbia
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0.6183814591980498 0.33115563131683073 native-country=Scotland
1.318728584614658 -0.5098878086496813 native-country=Thailand
0.9556785651589642 1.054257209429111 native-country=Yugoslavia
0.25853702148847385 0.1472340701853798 native-country=El-Salvador
0.3110759024424489 0.3950073594230103 native-country=Trinadad&Tobago
0.1594036234299664 0.9262059654824389 native-country=Peru
0.8408951171974107 -0.284072851610045 native-country=Hong
0.943172967115986 0.8769510042624181 native-country=Holand-Netherlands
Hidden Weights:
-4.243640167845728 4.243640167845728
-2.799242843111451 2.7992428431114527
>50K <=50K
Error sum for iteration 2100 = 736.137519522797
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.17015546353143035 -7.902154005667277 age
0.7946190865282552 -0.2501465604969942 workclass=Private
1.713459870431221 -1.4953266335534636 workclass=Self-emp-not-inc
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1.6908671811584168 0.710059190529098 education=12th
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0.5492324426760393 -0.27869076964568235 education=10th
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0.03467712259756985 -0.4303498942679905 education=Preschool
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1.02825324162058 1.0105163347765873 marital-status=Married-AF-spouse
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2.2658562269562226 1.2915740975476968 race=Other
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0.039418653835274105 -1.2667459008378033 sex
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1.9234190312033288 -0.3798303013382204 native-country=Greece
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1.3776239812903568 1.0775389857581306 native-country=Haiti
3.7588066448214157 -0.024117829614432543 native-country=Columbia
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1.315182669183595 0.1980412330567096 native-country=Nicaragua
0.6223612804476406 0.3292321619772131 native-country=Scotland
1.3289677812393348 -0.5218261137296307 native-country=Thailand
0.9699649097857688 1.05130355212316 native-country=Yugoslavia
0.23828212341706625 0.16610056708208634 native-country=El-Salvador
0.31348783245149053 0.39205298796086313 native-country=Trinadad&Tobago
0.14468042319231028 0.9231381466998302 native-country=Peru
0.8417927914615226 -0.2870958074844085 native-country=Hong
0.9444149264775121 0.8748400731646965 native-country=Holand-Netherlands
Hidden Weights:
-4.247357025430648 4.247357025430649
-2.8250339173302295 2.8250339173302312
>50K <=50K
Error sum for iteration 2200 = 735.040197852367
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.19467034244300144 -8.085977125494413 age
0.7935238480195153 -0.23463361153751902 workclass=Private
1.713346166772649 -1.5119206253399349 workclass=Self-emp-not-inc
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2.3067372184702393 0.12064035301921049 education=1st-4th
0.5330516422957442 -0.30787775482065566 education=10th
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0.053849235333980734 -0.4305387510360429 education=Preschool
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1.3752669773005792 -1.0231583311682473 marital-status=Divorced
1.43094676733219 -0.7776562390099273 marital-status=Never-married
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1.024231957175231 1.0062092871210728 marital-status=Married-AF-spouse
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1.3448377779721188 -0.8316168490964084 relationship=Own-child
0.8482159781134794 0.23951839786430806 relationship=Husband
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0.19644020248057467 -1.121130313451343 relationship=Unmarried
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0.7325587115649665 -0.7862467756072535 race=Amer-Indian-Eskimo
2.294062192334976 1.2541215431412382 race=Other
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0.02690409172147757 -1.2358542111595603 sex
-5.403500695080172 -0.3417060007496083 capital-gain
-2.5375123927324266 1.529850249727304 capital-loss
-2.8638659354912073 0.9394408841738037 hours-per-week
-0.07915453651293432 -1.2478490371418907 native-country=United-States
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0.45788395025417183 0.5689602800625323 native-country=England
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2.1793812255178078 -1.0868268176861038 native-country=India
2.136707963528515 0.6564725470749762 native-country=Japan
1.9281922235509528 -0.37626372948377756 native-country=Greece
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0.7321997937259478 1.1181118847308347 native-country=China
0.6522621762247295 1.5333601097371956 native-country=Cuba
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0.9727304971273527 -1.2388686866579803 native-country=Vietnam
0.9511717586453754 -0.7674339330029017 native-country=Mexico
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0.8387690286753681 0.8068619714973797 native-country=Laos
0.27856248817785156 -0.04417986468624462 native-country=Ecuador
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1.3982763091480324 1.0807817881497936 native-country=Haiti
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Hidden Weights:
-4.24841085852211 4.248410858522109
-2.8469153117179515 2.84691531171795
>50K <=50K
Error sum for iteration 2300 = 733.8594505469337
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.21693353944650273 -8.260929400330978 age
0.7912249014556644 -0.2153085852213624 workclass=Private
1.7127848273444228 -1.5262810083529421 workclass=Self-emp-not-inc
0.3370562232095149 -0.9603498370773135 workclass=Self-emp-inc
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1.152663845741646 0.18058374782337241 workclass=Local-gov
0.8376508219366307 0.5236654236626719 workclass=State-gov
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1.0201117355299205 1.0018959811665384 marital-status=Married-AF-spouse
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2.32328873846604 1.2160198176308372 race=Other
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1.4180326581968743 1.0838405808548153 native-country=Haiti
3.7902880990333143 -0.012157683702326545 native-country=Columbia
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0.6301901464462883 0.32591900396244 native-country=Scotland
1.3431215372547387 -0.5449401370438597 native-country=Thailand
0.9970762816946671 1.0453752485507457 native-country=Yugoslavia
0.20041272521467918 0.20854118687752954 native-country=El-Salvador
0.3178233948853599 0.3867449615829324 native-country=Trinadad&Tobago
0.11696557907577325 0.9170247686731153 native-country=Peru
0.843590008305822 -0.29241424377265096 native-country=Hong
0.9468486659033205 0.8712023561983678 native-country=Holand-Netherlands
Hidden Weights:
-4.247425831845594 4.247425831845596
-2.866233861944558 2.866233861944558
>50K <=50K
Error sum for iteration 2400 = 732.6255739841159
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.2376661957769238 -8.428228291079161 age
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1.7118083503892496 -1.5384818113791017 workclass=Self-emp-not-inc
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0.182379442907687 0.2316788711485727 native-country=El-Salvador
0.3198034089082103 0.3843071870209767 native-country=Trinadad&Tobago
0.10420155979281255 0.9138411067424593 native-country=Peru
0.844465615978691 -0.2948406616046974 native-country=Hong
0.9480302149819267 0.8695874172708363 native-country=Holand-Netherlands
Hidden Weights:
-4.244891409944403 4.244891409944403
-2.883908727946042 2.883908727946042
>50K <=50K
Error sum for iteration 2500 = 731.3690259750954
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.2574007746940251 -8.588868557838225 age
0.7837712988225348 -0.16723282168813672 workclass=Private
1.710437579856147 -1.5486384435975609 workclass=Self-emp-not-inc
0.3470343859873368 -1.0497368216151282 workclass=Self-emp-inc
-0.6780958137805617 2.4453689917053785 workclass=Federal-gov
1.153010555201958 0.21715089549089994 workclass=Local-gov
0.8405705938064895 0.542955648899702 workclass=State-gov
0.8974094648313286 -0.40140384877347407 workclass=Without-pay
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0.8650525131588591 -0.7645035683403256 education=11th
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0.3066172322124835 0.15520053531883038 education=9th
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1.79886587154236 0.46729175281097796 education=12th
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2.5251660918907928 0.14309645735364612 education=1st-4th
0.49247040212848314 -0.38615106958540096 education=10th
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0.10945748551953052 -0.4308876933113477 education=Preschool
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-2.380336338291247 0.3949623934876045 marital-status=Married-civ-spouse
1.4019503758626308 -1.081278278330752 marital-status=Divorced
1.421034027209366 -0.7759177710048663 marital-status=Never-married
0.16031724461093358 1.365065903490625 marital-status=Separated
0.4688832396496423 1.2280608420943575 marital-status=Widowed
1.854894541068642 0.23501379849432236 marital-status=Married-spouse-absent
1.011626530244707 0.9930818083944867 marital-status=Married-AF-spouse
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0.4384962129884191 -2.4688699576750115 occupation=Prof-specialty
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0.7345117122106427 -0.6647581358348333 occupation=Adm-clerical
1.7537364813698053 -0.6186560180593285 occupation=Farming-fishing
0.2940849110694663 0.9334382471392815 occupation=Transport-moving
1.2357981400821185 0.3900032867371211 occupation=Priv-house-serv
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1.4388799465908144 -0.9500795192650148 relationship=Own-child
0.8526520637525298 0.32016624199218663 relationship=Husband
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0.5322165288413386 -0.67090160173418 relationship=Other-relative
0.14920125946673887 -1.2067828015349022 relationship=Unmarried
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0.7549663939823997 -0.899455166861675 race=Amer-Indian-Eskimo
2.385209999386892 1.1372716820707172 race=Other
-0.7240542742490029 0.11826299670571029 race=Black
3.351849198188285E-4 -1.1697541374793836 sex
-5.512732890966972 -0.18637689177571087 capital-gain
-2.5710007907044945 1.6836241194069186 capital-loss
-2.8383691792135983 0.8620656041243617 hours-per-week
-0.07347138031702954 -1.2610103911403765 native-country=United-States
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0.4730108279150617 0.5458056994927168 native-country=England
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0.23921127746043763 0.38089399286218933 native-country=Outlying-US(Guam-USVI-etc)
2.1937847281945135 -1.1039751234122743 native-country=India
2.2517064856932536 0.6057964165008363 native-country=Japan
1.9409868461830302 -0.36889006192762674 native-country=Greece
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0.7449859304665679 1.028510391932253 native-country=China
0.6614153175638188 1.543132496229733 native-country=Cuba
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1.04322479896659 -1.3965310335599865 native-country=Vietnam
1.0120125232286783 -0.9208228974866426 native-country=Mexico
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0.8436031397945958 0.801887780312561 native-country=Laos
0.33397127905877205 -0.05288714511143471 native-country=Ecuador
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1.4546854234968556 1.089002834880244 native-country=Haiti
3.8118697166534288 -0.006193799905807252 native-country=Columbia
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1.423332127476413 0.20879064417608978 native-country=Nicaragua
0.6378170134862499 0.32304825521510333 native-country=Scotland
1.3520688442032014 -0.56650746459323 native-country=Thailand
1.0224864157397278 1.0393616076351064 native-country=Yugoslavia
0.16469523940852898 0.25582046574204326 native-country=El-Salvador
0.32168638761397456 0.3819657931012678 native-country=Trinadad&Tobago
0.09220078005688634 0.9104351685835879 native-country=Peru
0.8453171692502088 -0.2971816267624914 native-country=Hong
0.949186493845082 0.8680605856044905 native-country=Holand-Netherlands
Hidden Weights:
-4.241202531040698 4.2412025310407016
-2.9005627998819055 2.9005627998819055
>50K <=50K
Error sum for iteration 2600 = 730.1121997393334
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.2765367508976468 -8.743669803159774 age
0.7788728339819593 -0.13919431843417024 workclass=Private
1.7086873795338569 -1.5569215892330235 workclass=Self-emp-not-inc
0.3502405497386434 -1.092281734765735 workclass=Self-emp-inc
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1.152418638739727 0.23765245433108373 workclass=Local-gov
0.8417517594932042 0.5543233091190364 workclass=State-gov
0.8987481644041557 -0.4028625424366738 workclass=Without-pay
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0.8653237430313464 -0.7875108216082275 education=11th
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0.29396164686500936 0.14779371012028245 education=9th
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1.8274024681585874 0.41055149917474576 education=12th
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2.5883533388376736 0.1489052090969844 education=1st-4th
0.48109880865001864 -0.40942805175870295 education=10th
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0.12739233164241062 -0.43101450758262244 education=Preschool
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0.468464590721941 1.2732565979753439 marital-status=Widowed
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1.0072849706739297 0.9885095602306498 marital-status=Married-AF-spouse
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0.7284787302486081 -0.6453909453550498 occupation=Adm-clerical
1.7593654024068064 -0.6473506968682352 occupation=Farming-fishing
0.2883291610398151 0.9615452836210169 occupation=Transport-moving
1.2599087126077677 0.3840345315161124 occupation=Priv-house-serv
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0.8536453804013195 0.3464053880831174 relationship=Husband
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0.545141407569462 -0.695314849969249 relationship=Other-relative
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0.7610619912803671 -0.9369551224961665 race=Amer-Indian-Eskimo
2.417949773823087 1.096225629975845 race=Other
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2.1997769530810753 -1.1104365214630931 native-country=India
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1.9453780574786599 -0.36747011418693004 native-country=Greece
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1.4715406821397505 1.0909573276207338 native-country=Haiti
3.8202081100580867 -0.004657891319665838 native-country=Columbia
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1.4473597794955289 0.21071851709725814 native-country=Nicaragua
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1.355495327805384 -0.5766137327819502 native-country=Thailand
1.0346386944299548 1.0362997302383998 native-country=Yugoslavia
0.1471951170239056 0.280768613097634 native-country=El-Salvador
0.3234880128549954 0.37969107326847185 native-country=Trinadad&Tobago
0.08093753251126723 0.9066835629527031 native-country=Peru
0.8461407673011409 -0.2994792431649496 native-country=Hong
0.9503177021287256 0.866592870502685 native-country=Holand-Netherlands
Hidden Weights:
-4.2366882034535385 4.236688203453539
-2.916620575691866 2.916620575691866
>50K <=50K
Error sum for iteration 2700 = 728.8762785271782
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.29537846750639674 -8.893313600842127 age
0.7733083633946435 -0.10881074901495248 workclass=Private
1.706569885548101 -1.5635651835218523 workclass=Self-emp-not-inc
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0.5689860961473259 0.7807213461472433 native-country=Honduras
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0.40913173719941515 1.6510823523611322 native-country=Poland
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1.089670465745945 -1.5130074897156132 native-country=Vietnam
1.0537670885839345 -1.0191017176446349 native-country=Mexico
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0.8448158491203452 0.798079510986336 native-country=Laos
0.36952216215722433 -0.059635251246200366 native-country=Ecuador
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1.4874063891810942 1.0924210897640283 native-country=Haiti
3.827329187311463 -0.003828491051744638 native-country=Columbia
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1.47033050345311 0.2123062328222565 native-country=Nicaragua
0.645229141404302 0.32037584907360517 native-country=Scotland
1.358580474090281 -0.586254042238277 native-country=Thailand
1.0464618453746612 1.0331903951991726 native-country=Yugoslavia
0.12973247989966133 0.306329159259884 native-country=El-Salvador
0.3252203931077427 0.3774581020282943 native-country=Trinadad&Tobago
0.07036394651470096 0.9024550706709915 native-country=Peru
0.8469331537223544 -0.30176903364591806 native-country=Hong
0.9514240938118836 0.8651603029991618 native-country=Holand-Netherlands
Hidden Weights:
-4.231633125354497 4.231633125354497
-2.932379703949676 2.932379703949674
>50K <=50K
Error sum for iteration 2800 = 727.6669198154118
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.3141567708757496 -9.038368155663662 age
0.7671408225300059 -0.07625243237154716 workclass=Private
1.7040968689811726 -1.5688713674978687 workclass=Self-emp-not-inc
0.35381914286230276 -1.1745501200045454 workclass=Self-emp-inc
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1.1497474367821992 0.2828837096763572 workclass=Local-gov
0.844054648271319 0.579181134574295 workclass=State-gov
0.9013335994388645 -0.4056977212571067 workclass=Without-pay
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0.8660352869720345 -0.8257274754207132 education=11th
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0.27048829370204286 0.13968512293955085 education=9th
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1.8854707859285105 0.3017047469611497 education=12th
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2.7029970418487843 0.1585458773688019 education=1st-4th
0.4609784803121741 -0.4522296987890738 education=10th
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0.16245904888722631 -0.4314060534125391 education=Preschool
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1.4109959215491923 -0.7635233591443069 marital-status=Never-married
0.19209999115630247 1.3227929059422885 marital-status=Separated
0.4684929722641907 1.3545935980554313 marital-status=Widowed
1.9080284653929265 0.18536046686788427 marital-status=Married-spouse-absent
0.9984420953725119 0.9788867833366713 marital-status=Married-AF-spouse
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1.2883752654512126 -1.780887957810416 occupation=Other-service
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1.7701747056085695 -0.700802253302091 occupation=Farming-fishing
0.27829297318685425 1.0118375762380172 occupation=Transport-moving
1.3048824656798486 0.3719419849600154 occupation=Priv-house-serv
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1.5204322366772212 -1.0545704846535597 relationship=Own-child
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0.11430990522477463 -1.288513344213463 relationship=Unmarried
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2.4866253360022488 1.0095759180719075 race=Other
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2.2140875728335927 -1.1251086726042268 native-country=India
2.3549636123046174 0.5573610501026814 native-country=Japan
1.954990048534019 -0.3660598576252449 native-country=Greece
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0.7718267842352656 0.9247270165163226 native-country=China
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1.1127193772385033 -1.5740518691225143 native-country=Vietnam
1.0748830809506607 -1.0688421230433685 native-country=Mexico
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0.8449258667181673 0.796005579215612 native-country=Laos
0.38685872012331224 -0.06328055988727974 native-country=Ecuador
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1.502283333245803 1.0933535016808056 native-country=Haiti
3.833448875168283 -0.003577399236684771 native-country=Columbia
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1.4923059144667192 0.21353960639471992 native-country=Nicaragua
0.6488512504395931 0.31905923475694015 native-country=Scotland
1.3615334622101996 -0.5954330502786057 native-country=Thailand
1.0579811330004487 1.0300275672394004 native-country=Yugoslavia
0.11217873653260231 0.33230857994352736 native-country=El-Salvador
0.32689255050546306 0.3752465283322639 native-country=Trinadad&Tobago
0.06041999876380323 0.8976165187133808 native-country=Peru
0.847691024337762 -0.3040809364526809 native-country=Hong
0.952505501609725 0.8637436410086927 native-country=Holand-Netherlands
Hidden Weights:
-4.2262942643506065 4.226294264350607
-2.9480653065149323 2.948065306514932
>50K <=50K
Error sum for iteration 2900 = 726.497949641339
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.33303431029792824 -9.17930460766979 age
0.7604308032637759 -0.041686146848789726 workclass=Private
1.7012827777772304 -1.5732117754375796 workclass=Self-emp-not-inc
0.354437102870215 -1.2148090205710116 workclass=Self-emp-inc
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1.1476648191506829 0.3075856420578051 workclass=Local-gov
0.8452715534813303 0.5924803072687066 workclass=State-gov
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0.8663526868524187 -0.8414942271622081 education=11th
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1.914778514954657 0.24955742240892725 education=12th
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2.7551412910160638 0.16252368876443615 education=1st-4th
0.4520749445177253 -0.47185714818074 education=10th
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0.17962526719480104 -0.43170372838450516 education=Preschool
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0.9939461624983496 0.973785936873344 marital-status=Married-AF-spouse
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0.7047053139374574 -0.5671975396221227 occupation=Adm-clerical
1.7754138154888826 -0.7261977242972442 occupation=Farming-fishing
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2.5222361406990403 0.9634674228290439 race=Other
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1.5161756569690228 1.093721902579368 native-country=Haiti
3.8387311929085235 -0.0038102012963270606 native-country=Columbia
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1.0692186182938326 1.0268067352115193 native-country=Yugoslavia
0.0944248212035173 0.3585121070501402 native-country=El-Salvador
0.3285110002313686 0.37303984344490754 native-country=Trinadad&Tobago
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0.9535612734512591 0.8623276363565852 native-country=Holand-Netherlands
Hidden Weights:
-4.220911573297578 4.220911573297575
-2.9638778946601447 2.9638778946601447
>50K <=50K
Options: -I 3000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1634752527
-H 2
-M 0.01
Input Weights:
0.3519018673566426 -9.31515996342715 age
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1.698183300634842 -1.5769796050859022 workclass=Self-emp-not-inc
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-0.8053333617389361 1.1281886634224607 relationship=Not-in-family
0.5919217993043386 -0.7784979482474849 relationship=Other-relative
0.09735877693167691 -1.343677788522792 relationship=Unmarried
-0.770076632255162 -0.26942686510571684 race=White
-1.1305846468749456 -0.6694778328620601 race=Asian-Pac-Islander
0.7788391022521072 -1.087529988631596 race=Amer-Indian-Eskimo
2.558028919627043 0.9156986979324121 race=Other
-0.7772795695593796 0.27015889744387434 race=Black
-0.021757287054493455 -1.109056854989079 sex
-5.672029964680214 0.06277083627691409 capital-gain
-2.6250981548760395 1.874955944962995 capital-loss
-2.8248690034663464 0.7543042116644397 hours-per-week
-0.060427898835515616 -1.2898975789000766 native-country=United-States
-3.5067536217678352 0.388091332734068 native-country=Cambodia
0.49217922153613824 0.5426063661588203 native-country=England
0.049524371341914133 -0.6719697276450888 native-country=Puerto-Rico
-0.9649856718508646 -0.7824460907072526 native-country=Canada
-0.5111023346329104 -0.4570807611833027 native-country=Germany
0.25926079312513084 0.3841265562991495 native-country=Outlying-US(Guam-USVI-etc)
2.232031686244045 -1.142720088675677 native-country=India
2.4188841801655934 0.5256758629125232 native-country=Japan
1.966013681505431 -0.3663974190990103 native-country=Greece
-0.951844777075498 2.6579994650503846 native-country=South
0.7960175594660928 0.8509143745865787 native-country=China
0.6953702265079553 1.5092961510473608 native-country=Cuba
-2.5508008138291878 0.047610067142500996 native-country=Iran
0.5907576774291311 0.7271851819416073 native-country=Honduras
-0.142282492678727 -1.5817230969079357 native-country=Philippines
-1.0398434179786948 0.06512078985495405 native-country=Italy
0.3809064564329832 1.754655786415021 native-country=Poland
-2.545961735467453 -0.06251485270744576 native-country=Jamaica
1.1583619275889625 -1.700423424382231 native-country=Vietnam
1.117163803584036 -1.1710754393327256 native-country=Mexico
-0.9262094324297476 -0.6399916267319602 native-country=Portugal
-1.444742016575111 -1.872771919571453 native-country=Ireland
-0.26369404583409845 0.06602913794593138 native-country=France
-0.37631153006641344 -1.7360795927208799 native-country=Dominican-Republic
0.8442779971409009 0.7915229562735977 native-country=Laos
0.4204901752233244 -0.0710346992538366 native-country=Ecuador
-0.6197210197382425 1.0754584623650254 native-country=Taiwan
1.5289682303462093 1.0935056135137016 native-country=Haiti
3.843260629142673 -0.00444887522604124 native-country=Columbia
-0.6786815433764803 0.08615914003912836 native-country=Hungary
-1.7163971752647897 -0.8477191746670987 native-country=Guatemala
1.533300048432076 0.21489578593610456 native-country=Nicaragua
0.6558843747946254 0.31640462983060147 native-country=Scotland
1.3676802736428677 -0.6123880091966675 native-country=Thailand
1.0800853780030415 1.0235566766364539 native-country=Yugoslavia
0.07656797475516396 0.38448130014645626 native-country=El-Salvador
0.33006517452342415 0.3708458148499254 native-country=Trinadad&Tobago
0.042258549713953486 0.8856847555519727 native-country=Peru
0.8490825781209262 -0.3088460181827898 native-country=Hong
0.9545805570863211 0.8609136662960075 native-country=Holand-Netherlands
Hidden Weights:
-4.215759332606807 4.2157593326068055
-2.979880300142633 2.979880300142632
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4248 84.7059 %
Incorrectly Classified Instances 767 15.2941 %
Mean absolute error 0.2625
Root mean squared error 0.3303
Relative absolute error 71.0931 %
Root relative squared error 76.8659 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
713 512 | a = >50K
255 3535 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4211 83.9681 %
Incorrectly Classified Instances 804 16.0319 %
Mean absolute error 0.2691
Root mean squared error 0.341
Relative absolute error 73.8351 %
Root relative squared error 80.4103 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
673 505 | a = >50K
299 3538 | b = <=50K
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