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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-0.5287599351338916 0.04035368665516037 age
0.9561773776803235 0.30720244904820637 workclass=Private
0.5261503233048739 -0.4142765618061697 workclass=Self-emp-not-inc
-0.7823668266927313 -0.23203535903889216 workclass=Self-emp-inc
-0.728816272579647 0.5491544345488255 workclass=Federal-gov
-0.11157542805721765 -0.9876897696946025 workclass=Local-gov
-0.6076983011740136 -0.6397479707097655 workclass=State-gov
0.8432872319177738 0.846547124313608 workclass=Without-pay
-0.6034609255184662 0.5989583765662312 workclass=Never-worked
0.751047189470651 -0.10250862728584331 fnlwgt
-0.6424202719031311 0.4745077944159115 education=Bachelors
0.02149518998997002 0.39660181807501416 education=Some-college
-0.8815132940181813 0.5584192571853024 education=11th
-0.3750045186909494 0.23767244944060995 education=HS-grad
0.5005902067725059 -0.13514752107463157 education=Prof-school
0.6869236317872751 0.3921049812557955 education=Assoc-acdm
-0.011954926646443376 -0.4709599739041941 education=Assoc-voc
0.08108866958270444 -0.9452996951786148 education=9th
-0.25622127032219355 0.5777110350448784 education=7th-8th
0.058466376358662586 0.33111913216240274 education=12th
-0.4820295456007968 -0.7664207599657831 education=Masters
0.27524545245957177 0.5316770935727648 education=1st-4th
0.857104863866333 -0.8130256022424727 education=10th
0.6715066437096664 -0.16026874413507897 education=Doctorate
0.30103740604581253 -0.14181317323462594 education=5th-6th
-0.5382919822894345 0.3800944934588353 education=Preschool
0.22716825533833762 0.1394664443961633 education-num
0.2121756823599925 -0.40405352948250317 marital-status=Married-civ-spouse
-0.6067483350638416 -0.05999462997916982 marital-status=Divorced
0.4993940895070772 -0.10738438298563513 marital-status=Never-married
-0.2591541108669495 0.2735315379061187 marital-status=Separated
0.08518698542697001 -0.7668552350760691 marital-status=Widowed
0.8159386535893125 0.057988410057253637 marital-status=Married-spouse-absent
0.7487764968881159 0.7522447836650632 marital-status=Married-AF-spouse
-0.6233583022758276 0.39056424942896695 occupation=Tech-support
0.9378416478749256 -0.560651943596147 occupation=Craft-repair
0.993540956961606 0.1882027347066737 occupation=Other-service
-0.9835440815436225 0.9440151639894292 occupation=Sales
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0.8443489699797402 -0.8741027992508337 occupation=Handlers-cleaners
0.9018581871998017 0.32821580018965 occupation=Machine-op-inspct
0.2066914903319057 0.5206021646235408 occupation=Adm-clerical
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0.31451461301121664 0.8842155548647428 occupation=Protective-serv
-0.5659757596747754 -0.864632188292519 occupation=Armed-Forces
-0.960793406767569 0.16281755476028437 relationship=Wife
0.2685554004814581 0.32466144544009445 relationship=Own-child
-0.8012916803917343 -0.5592142375345002 relationship=Husband
0.2231549418150296 0.6795360879025536 relationship=Not-in-family
0.11424432593583966 -0.35261591673673554 relationship=Other-relative
0.8901401724947755 -0.8046806680334171 relationship=Unmarried
-0.9031532458341451 0.6758787557833055 race=White
-0.3253125165172226 0.7502345175289171 race=Asian-Pac-Islander
0.4387617305270797 0.5636097161967086 race=Amer-Indian-Eskimo
-0.6178399520153772 0.7585151617406924 race=Other
-0.02085899048747919 0.07956563158196794 race=Black
0.9490737906974731 0.05894939119518128 sex
0.14381368236581227 -0.3267157285086586 capital-gain
0.1236296550966196 0.833776373909449 capital-loss
0.0862054069915068 0.9188708252768498 hours-per-week
-0.17354085151785315 0.7336923888223803 native-country=United-States
-0.025948468935703684 -0.5623035298000534 native-country=Cambodia
0.7647981279401084 -0.17303758551950987 native-country=England
0.2092039893640929 0.45329888807138086 native-country=Puerto-Rico
-0.8096412414109377 -0.05846258767173529 native-country=Canada
0.5390734285680678 0.4912980743699942 native-country=Germany
0.7581021388436746 0.34466591985505857 native-country=Outlying-US(Guam-USVI-etc)
0.6903436733849866 -0.12634711922486508 native-country=India
0.7540649880753103 -0.6104765515359847 native-country=Japan
0.8695633610672275 -0.6230401011846247 native-country=Greece
0.7282547756280764 -0.8936171994266713 native-country=South
0.7408203063293022 0.2541224938100637 native-country=China
-0.7749625300622214 0.04907806430141792 native-country=Cuba
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0.22996639823895637 0.2548845066282015 native-country=Philippines
0.20604286210991063 -0.681744597066142 native-country=Italy
0.8667742286608033 0.1881155055366477 native-country=Poland
0.6646676538379863 -0.7500505376755149 native-country=Jamaica
0.5934871976774267 0.19722634960876206 native-country=Vietnam
-0.3271732745115723 -0.3572759947155342 native-country=Mexico
0.002611845270498181 0.04909618595515619 native-country=Portugal
-0.8897619035275388 -0.6829185767668853 native-country=Ireland
-0.05968467486297735 -0.5445334046054315 native-country=France
-0.1533835341676335 -0.6394199023507203 native-country=Dominican-Republic
-0.29974647164165114 0.7067513094581279 native-country=Laos
-0.18072430580800614 -0.6364266845649418 native-country=Ecuador
-0.19324762212490687 -0.13028696414304375 native-country=Taiwan
-0.3042314414775007 0.2177027928701163 native-country=Haiti
-0.6458460660017229 -0.8979263476348662 native-country=Columbia
-0.29162533349392317 -0.6726343711474823 native-country=Hungary
-0.6867917797988068 -0.9192348749037174 native-country=Guatemala
0.15439028647195308 -0.3804924746805367 native-country=Nicaragua
-0.24398294280375055 -0.6897801249541138 native-country=Scotland
0.03741148875580991 -0.26012063109275085 native-country=Thailand
0.7229880407480203 0.3232317959991091 native-country=Yugoslavia
0.43678096314849046 -0.7584036263470826 native-country=El-Salvador
0.062042913467828864 -0.12136875507687583 native-country=Trinadad&Tobago
-0.7895284178761166 0.8204735120294098 native-country=Peru
0.5842194448831648 -0.7147973629547637 native-country=Hong
0.5550533629609038 -0.884057657153547 native-country=Holand-Netherlands
Hidden Weights:
-0.5220762089323685 0.1299027498898162
0.7551500612268804 0.15257496168402285
>50K <=50K
Error sum for iteration 100 = 735.0373031944885
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.2320786705817717 0.10188481792317151 age
0.2712053169010375 0.28037353415241567 workclass=Private
0.8572084167854968 -0.36363958576709515 workclass=Self-emp-not-inc
-0.5192172222582405 -0.15514187849361555 workclass=Self-emp-inc
-0.4644659174491302 0.48823236746095006 workclass=Federal-gov
0.4498043501004696 -0.9510316439245233 workclass=Local-gov
0.3173294820689546 -0.662345762664834 workclass=State-gov
0.9632556377431714 0.8503864455596534 workclass=Without-pay
-0.48479679488564964 0.6028036518770074 workclass=Never-worked
0.4496012775415649 -0.026237714801300806 fnlwgt
-0.17872010494540064 0.3339226835272945 education=Bachelors
0.5047771911519466 0.28181904329967344 education=Some-college
0.7723015081343974 0.4451346773365554 education=11th
0.3435359410602865 0.3541815093593301 education=HS-grad
-0.9410696604371239 0.03650167096760375 education=Prof-school
-0.06092661253605151 0.4657039101544306 education=Assoc-acdm
0.16188097937461152 -0.5188402178727295 education=Assoc-voc
0.8813853497829861 -1.0106460899710559 education=9th
0.734335052802725 0.5203545445249007 education=7th-8th
0.7234617698307985 0.2780169283219334 education=12th
-0.5246191610729941 -0.7413954049085849 education=Masters
0.5792120767912374 0.5224936299143014 education=1st-4th
1.0318459356113423 -0.7666603463857379 education=10th
-0.8686102668476173 0.07070947750710481 education=Doctorate
0.32186130409192604 -0.11081878030990112 education=5th-6th
-0.36668953650382224 0.37878195686975524 education=Preschool
-1.8033696997575543 0.36661353647824246 education-num
-0.6789885566585212 -0.44306802693468633 marital-status=Married-civ-spouse
0.5148676172101609 -0.047405489107297985 marital-status=Divorced
0.9870896258419009 -0.025573720830538764 marital-status=Never-married
0.1399953333684369 0.2515176800807425 marital-status=Separated
0.22111654130179703 -0.7610215611254421 marital-status=Widowed
1.0785802905572497 0.0768535232728408 marital-status=Married-spouse-absent
1.0128705697119806 0.7518536784111702 marital-status=Married-AF-spouse
-0.6206081107041015 0.42356381965241924 occupation=Tech-support
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0.844457914733112 0.234601752395327 occupation=Other-service
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0.5602780128193219 -0.785378066514765 occupation=Handlers-cleaners
0.5604466770498044 0.42971952153389203 occupation=Machine-op-inspct
0.4731845041209994 0.4594373666468764 occupation=Adm-clerical
1.1809034637755427 -0.4376344147865385 occupation=Farming-fishing
0.2579617137354637 -0.7027147575451517 occupation=Transport-moving
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-1.3602791518241388 0.22731856023783328 relationship=Wife
1.367138804678049 0.28740098829031413 relationship=Own-child
-0.4005537336770034 -0.714753239401883 relationship=Husband
0.47313193380945445 0.7257018047176355 relationship=Not-in-family
0.3630974135520756 -0.3444436089083812 relationship=Other-relative
0.9527723158887614 -0.6768863847862825 relationship=Unmarried
-0.1635221443626546 0.6998342932918507 race=White
-0.331812760217004 0.7928181477410209 race=Asian-Pac-Islander
0.8037282923719985 0.5636880712982703 race=Amer-Indian-Eskimo
-0.03427585879736734 0.6717817795133986 race=Other
-0.15988680509539235 0.14967007002712215 race=Black
-0.20028585389033346 0.13687019167842748 sex
-0.9154090721479072 -0.1292466904458534 capital-gain
-1.4558591115895492 1.0545887056282703 capital-loss
-2.341966251499961 1.2943167516715846 hours-per-week
-0.01608673931614069 0.7559680579375688 native-country=United-States
-0.11703357800500318 -0.5342659438635802 native-country=Cambodia
0.9292566687214701 -0.16452498313051248 native-country=England
0.38683602619243435 0.45160506091776087 native-country=Puerto-Rico
-0.7855556749967372 -0.06308139554355781 native-country=Canada
0.40955824482294456 0.5446975413513867 native-country=Germany
0.8860320762118248 0.347844691363488 native-country=Outlying-US(Guam-USVI-etc)
1.147580544665365 -0.16292052143595936 native-country=India
0.9731452302205156 -0.61563648710365 native-country=Japan
0.9825105174654466 -0.6201686641688512 native-country=Greece
0.7350435679514307 -0.8861485111260535 native-country=South
0.8738946365898843 0.2571221931787365 native-country=China
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0.190606439648937 -0.18743731991182588 native-country=Honduras
0.12479822059592911 0.29155730476987746 native-country=Philippines
-0.11445862310579437 -0.6014295260893052 native-country=Italy
1.0740133010897097 0.1847277346098771 native-country=Poland
0.4680078179639503 -0.6925538920111127 native-country=Jamaica
0.7920310593080611 0.19520918040320936 native-country=Vietnam
0.47694749633575884 -0.40729466326097835 native-country=Mexico
0.04040907381222476 0.064948244706405 native-country=Portugal
-0.8524873239237474 -0.6689601764479376 native-country=Ireland
0.03689032225138723 -0.5333689216710206 native-country=France
-0.06792105472804587 -0.6206015253762821 native-country=Dominican-Republic
0.012095213729231358 0.6940981740546233 native-country=Laos
-0.01216279619657912 -0.6386224996562345 native-country=Ecuador
-0.09629447160560545 -0.09327928188001712 native-country=Taiwan
-0.05905813783969437 0.201043819131457 native-country=Haiti
-0.2683619722963769 -0.9522812663616793 native-country=Columbia
-0.17296120286108455 -0.6687890958367061 native-country=Hungary
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0.4422992939571756 -0.40312379154555 native-country=Nicaragua
-0.11563171262607873 -0.6875408344941042 native-country=Scotland
0.24626945786283025 -0.2643475228881601 native-country=Thailand
0.8587638335757032 0.32494287123168375 native-country=Yugoslavia
0.5614047579049256 -0.7501313961412361 native-country=El-Salvador
0.25681475486980165 -0.12769734111235276 native-country=Trinadad&Tobago
-0.5715656686111628 0.815073823877014 native-country=Peru
0.7044800553646658 -0.7112993604723502 native-country=Hong
0.6737174935937497 -0.8802123818427708 native-country=Holand-Netherlands
Hidden Weights:
-3.9671185691096778 3.96329709435435
0.7741979389148858 -0.7390850876190356
>50K <=50K
Error sum for iteration 200 = 748.0169876467189
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.3895466579471687 0.030647942598863998 age
0.2802057274205262 0.26729663559582567 workclass=Private
0.8544505366041749 -0.30807699385766374 workclass=Self-emp-not-inc
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0.44430640304162017 -0.8883349986847543 workclass=Local-gov
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0.9827041197020183 0.8627689187298586 workclass=Without-pay
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0.07869617757292499 0.06756038252775853 fnlwgt
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0.4945796404019657 0.20118310388581662 education=Some-college
0.9701442562274752 0.4934854899087989 education=11th
0.38487564144048864 0.5279955674799462 education=HS-grad
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0.9948835655568418 -1.0177626074933768 education=9th
0.7797165179287416 0.5512649934446258 education=7th-8th
1.0387892113619226 0.2587038712589066 education=12th
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0.683803095159274 0.5309995070225805 education=1st-4th
0.8844922803806069 -0.6706873826558605 education=10th
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0.06416568730354574 -0.04385182572835915 education=5th-6th
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1.2274404555461946 0.11847254733050559 marital-status=Married-spouse-absent
1.0978416765979915 0.76186321795703 marital-status=Married-AF-spouse
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1.3670706176583782 -0.4563913483958667 occupation=Farming-fishing
0.2635827878647567 -0.6996459593620369 occupation=Transport-moving
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0.6285659618482639 0.5798194248960465 race=Other
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-0.32994644915145577 0.059407445654233976 sex
-1.6361698766091761 0.03569817741970621 capital-gain
-1.847488819114145 1.1836636173640551 capital-loss
-2.5791815588679423 1.5094882420724804 hours-per-week
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0.8997788668669102 -0.1278425384282076 native-country=England
0.4557523070311672 0.46287965856842417 native-country=Puerto-Rico
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0.16277500786907703 0.6258292747775371 native-country=Germany
0.9132665217682052 0.35960251452713693 native-country=Outlying-US(Guam-USVI-etc)
1.3639724303775058 -0.18075461340402454 native-country=India
1.1033682481574507 -0.6126053242873024 native-country=Japan
1.1033283086373444 -0.6127774330223873 native-country=Greece
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0.9719067596218798 0.27618078024242776 native-country=China
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0.26670976419580233 -0.1832542174826345 native-country=Honduras
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1.1421934504618352 0.19296966644381483 native-country=Poland
0.06809344611021757 -0.5940922949672127 native-country=Jamaica
0.8837991539547944 0.20399899242528144 native-country=Vietnam
0.7096039703977548 -0.3961536983775923 native-country=Mexico
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0.027897516901950394 -0.5118974221738074 native-country=France
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0.2267876954057398 0.6906155424225826 native-country=Laos
0.03112189012608138 -0.6321686415322477 native-country=Ecuador
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0.39902844092072526 -0.26457968824884914 native-country=Thailand
0.9045151929439712 0.3336256383245039 native-country=Yugoslavia
0.5363951609680018 -0.7311463345042224 native-country=El-Salvador
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0.724539594601845 -0.6992122626817237 native-country=Hong
0.6932195745485353 -0.8678971206988575 native-country=Holand-Netherlands
Hidden Weights:
-4.23586406505044 4.23439222653581
0.8836705902893283 -0.8729633644632403
>50K <=50K
Error sum for iteration 300 = 761.3709609685126
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.3943130882833221 -0.13563912024247746 age
0.2997244623867018 0.2848972353729055 workclass=Private
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1.1342447507722824 0.7727397195890235 marital-status=Married-AF-spouse
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1.1516224011372114 0.5134670890493224 race=Other
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Hidden Weights:
-4.368476799703372 4.367860630904102
1.0376997569883502 -1.0348868700395004
>50K <=50K
Error sum for iteration 400 = 778.033682840313
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.4020721560273166 -0.3794371217777024 age
0.32263307390913415 0.34437611309313465 workclass=Private
0.810550088220705 -0.3155384626653691 workclass=Self-emp-not-inc
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Hidden Weights:
-4.504524861393379 4.504350014386251
1.2720638107582036 -1.2714840910984893
>50K <=50K
Error sum for iteration 500 = 793.8943760922942
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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1.7166355816725551 0.4536250564745734 race=Other
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-3.0481609781333225 0.3824561712825689 capital-gain
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0.06984840046200248 0.8545613620833392 native-country=Peru
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Hidden Weights:
-4.638898993477838 4.6388608517693015
1.5547509212983077 -1.5546433162701077
>50K <=50K
Error sum for iteration 600 = 805.1670431082977
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.5153862444821617 -1.0551120314684792 age
0.37115270714008086 0.5058607531997241 workclass=Private
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1.1787624970124175 0.810706835581481 marital-status=Married-AF-spouse
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Hidden Weights:
-4.747592321868154 4.747584705197277
1.8632677516177873 -1.8632470800670242
>50K <=50K
Error sum for iteration 700 = 810.9362854117323
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.621425241843816 -1.4193528907843767 age
0.39195238396594584 0.5702914043525789 workclass=Private
0.6507297250135388 -0.6471457524899777 workclass=Self-emp-not-inc
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0.4184601728195225 -0.7042563355718053 native-country=El-Salvador
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Hidden Weights:
-4.818249122768401 4.818247558744814
2.1821534791747594 -2.182149105299732
>50K <=50K
Error sum for iteration 800 = 811.8507599467173
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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-3.793375216154355 0.5935804370633766 capital-gain
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1.9235949032880049 -0.2214134848732931 native-country=India
1.8062878663455975 -0.6971334927221691 native-country=Japan
1.5277789438441869 -0.4091133649619064 native-country=Greece
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0.8658863550249231 0.7333780770664362 native-country=Laos
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Hidden Weights:
-4.851597583791424 4.85159723931136
2.4814314941448017 -2.481430479484435
>50K <=50K
Error sum for iteration 900 = 809.5439247594268
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-4.85236618802822 4.852366106479534
2.7348302582812885 -2.7348300038455604
>50K <=50K
Error sum for iteration 1000 = 805.7361363695666
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-1.9644042598370928 -2.247912037966963 age
0.43900974743677595 0.6560454320874622 workclass=Private
0.5263687874189181 -0.8941162455142309 workclass=Self-emp-not-inc
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1.1106700700822458 0.3753082326208078 native-country=Yugoslavia
0.40963094391614885 -0.7579921727908463 native-country=El-Salvador
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Hidden Weights:
-4.829227541087889 4.829227520373115
2.939917131864652 -2.939917063443119
>50K <=50K
Error sum for iteration 1100 = 801.3405583632887
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.0756911525561312 -2.433835771953493 age
0.45272924071656045 0.6607807342462967 workclass=Private
0.5120315518378293 -0.9221879235196934 workclass=Self-emp-not-inc
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-4.090967880666912 0.7599833724115113 capital-gain
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Hidden Weights:
-4.791796039999165 4.791796034371691
3.107142096067774 -3.107142076520506
>50K <=50K
Error sum for iteration 1200 = 796.7785093928361
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-4.747816222444327 4.74781622082349
3.2468924362297122 -3.246892430365995
>50K <=50K
Error sum for iteration 1300 = 792.2593617107294
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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1.11708244178234 0.20775453057273535 native-country=Haiti
2.288283587119798 -1.9350679034162466 native-country=Columbia
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1.2043253215122 -0.5471383680803795 native-country=Nicaragua
0.14124186902607336 -0.6498080516704356 native-country=Scotland
0.882316755205363 -0.17301861973819976 native-country=Thailand
1.1824166402485652 0.36208247150998973 native-country=Yugoslavia
0.440743010355405 -0.8168453060471289 native-country=El-Salvador
0.688057492926298 -0.06709814505405166 native-country=Trinadad&Tobago
0.6201640686805652 0.9245651700574083 native-country=Peru
0.7573858389672362 -0.6165524377823716 native-country=Hong
0.7238102502162338 -0.7847981707158681 native-country=Holand-Netherlands
Hidden Weights:
-4.70258505041975 4.70258504993051
3.36603015874867 -3.3660301569228466
>50K <=50K
Error sum for iteration 1400 = 787.8757178857818
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.4026270295143366 -2.818856563613832 age
0.4913693765768359 0.6385072551263706 workclass=Private
0.5099800489009669 -0.9414114753438707 workclass=Self-emp-not-inc
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0.8873727255267753 0.7463639675976385 workclass=Local-gov
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0.019522649556738533 0.5222774513431341 education=Bachelors
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1.1509306162665864 1.4311819636605316 education=11th
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1.8959852597960443 0.7159440164959826 education=1st-4th
0.8474884409380595 0.3826833597991452 education=10th
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0.23081653186020887 0.36223887846641045 education=Preschool
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1.2390570481604808 0.8362797582142649 marital-status=Married-AF-spouse
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2.37603832660979 0.41898957227254824 race=Other
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-4.268104209112402 0.9174751890437103 capital-gain
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-0.433363403638229 -0.8830892187446833 native-country=United-States
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1.7709324220233766 -0.13788800289892922 native-country=Greece
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1.049542441118443 0.742426106784567 native-country=Laos
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1.1548376053427887 0.20556984770585549 native-country=Haiti
2.4088646967076985 -1.9996081980748537 native-country=Columbia
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0.16280153912345072 -0.6561904418025372 native-country=Scotland
0.8600899305486083 -0.17140610760769023 native-country=Thailand
1.2069371577939894 0.3565824612797073 native-country=Yugoslavia
0.4520005247784002 -0.8351900546086011 native-country=El-Salvador
0.710534159182601 -0.06725705112688408 native-country=Trinadad&Tobago
0.6364063718467917 0.9211578541663887 native-country=Peru
0.7601810954887985 -0.6168742733168953 native-country=Hong
0.7265557992211404 -0.7851179401884532 native-country=Holand-Netherlands
Hidden Weights:
-4.6594834912859975 4.659483491133029
3.4685231784096637 -3.468523177825622
>50K <=50K
Error sum for iteration 1500 = 783.6369859590287
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.4980348670985157 -2.8936365689859675 age
0.5029839607044589 0.6243394953299464 workclass=Private
0.5137920195339967 -0.9473606429139205 workclass=Self-emp-not-inc
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0.013967809471081555 0.4613536963357165 education=Bachelors
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1.186983107044101 1.4599494187088333 education=11th
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2.0358069030113763 0.8170484401070603 education=12th
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1.9596113647407967 0.7385767216522343 education=1st-4th
0.8771021677286639 0.47199021334341273 education=10th
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0.2652156970146455 0.3561254591039026 education=Preschool
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2.410281708827906 0.41723140967887384 race=Other
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0.7292215412775728 -0.7857079583537727 native-country=Holand-Netherlands
Hidden Weights:
-4.620259779131622 4.620259779082558
3.5562068914803246 -3.5562068912900675
>50K <=50K
Error sum for iteration 1600 = 779.5300465055913
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.57757565406461 -2.9357064253996827 age
0.5147189068679093 0.6127867586499679 workclass=Private
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1.0004172913197416 0.4396047865459985 native-country=Outlying-US(Guam-USVI-etc)
2.2499422228841737 -0.19139242763938333 native-country=India
2.2803541065027946 -0.7461351457702805 native-country=Japan
1.8191604773003454 -0.024374909394457876 native-country=Greece
0.5613503733159123 -0.3609764932127794 native-country=South
0.8887233715487539 0.3991768407116198 native-country=China
1.2495040910293302 0.12394156005977643 native-country=Cuba
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1.2184329937950924 -0.02237568445025976 native-country=Poland
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0.7754301802937925 0.24580535781967833 native-country=Vietnam
0.905518367892284 0.03668811070585028 native-country=Mexico
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1.0892423369966493 0.740842103399479 native-country=Laos
0.32505288792943793 -0.641385651981136 native-country=Ecuador
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1.227696720293678 0.19825067055086923 native-country=Haiti
2.6332715546685495 -2.11574151503055 native-country=Columbia
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1.3289386076188037 -0.6137611907181124 native-country=Nicaragua
0.20441113516451048 -0.6690437363061135 native-country=Scotland
0.81514740535887 -0.1693574478902361 native-country=Thailand
1.2559163449741118 0.34551868956700266 native-country=Yugoslavia
0.4721641608301345 -0.873699261996283 native-country=El-Salvador
0.7571188968155814 -0.06983204474758445 native-country=Trinadad&Tobago
0.6622746100437981 0.9099169456540571 native-country=Peru
0.7654995949435718 -0.618145095994348 native-country=Hong
0.7317561078258269 -0.7863824459376683 native-country=Holand-Netherlands
Hidden Weights:
-4.58499869772225 4.58499869770629
3.6293060276400038 -3.6293060275773446
>50K <=50K
Error sum for iteration 1700 = 775.5300010142197
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.6391652368196494 -2.946362389701238 age
0.5270177895947071 0.6055374918789498 workclass=Private
0.516581530955358 -0.9759807948630141 workclass=Self-emp-not-inc
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1.0499965473363493 1.0618626576359242 workclass=Local-gov
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2.0707772190661387 0.7810820036380655 education=1st-4th
0.934970872105583 0.6551471677130661 education=10th
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0.3286873548416058 0.3450303220257497 education=Preschool
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1.6380859232762768 0.5016600094821367 marital-status=Married-spouse-absent
1.256573354413655 0.8330320619397203 marital-status=Married-AF-spouse
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2.4731440017301396 0.4141551484277956 race=Other
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1.1070479912367268 0.7399944380681628 native-country=Laos
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2.737630025513351 -2.168249690786802 native-country=Columbia
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1.2798803553592362 0.34032663068154007 native-country=Yugoslavia
0.4806591246340376 -0.8943082728364364 native-country=El-Salvador
0.7807484246606479 -0.07191876776105843 native-country=Trinadad&Tobago
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0.7679372630379521 -0.6188549053975645 native-country=Hong
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Hidden Weights:
-4.552869481416479 4.5528694814112605
3.687752722754473 -3.687752722733706
>50K <=50K
Error sum for iteration 1800 = 771.6740689137978
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.684343473116768 -2.9324669666600682 age
0.5398105606985203 0.6022413752467091 workclass=Private
0.5162033887731684 -0.9959686609526518 workclass=Self-emp-not-inc
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1.1001238755987224 1.161458702076014 workclass=Local-gov
0.25181922347378866 -0.6492497803445165 workclass=State-gov
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0.009651047198121217 0.343447501485727 education=Bachelors
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2.142815515560394 1.0152946805156957 education=12th
0.020502558856470513 0.390066055081531 education=Masters
2.12025390914231 0.8006782443923977 education=1st-4th
0.9620040512201784 0.7414623439984849 education=10th
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0.35748237403944244 0.3403156448268769 education=Preschool
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1.295871407648867 0.18796818311392866 native-country=Haiti
2.8368302346628322 -2.2176326574578606 native-country=Columbia
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0.7701312746211102 -0.16802793596580934 native-country=Thailand
1.3031888782275458 0.3354285461194576 native-country=Yugoslavia
0.4881360087980648 -0.9158420934288974 native-country=El-Salvador
0.8042019175188792 -0.07434364741061977 native-country=Trinadad&Tobago
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0.7701909520945884 -0.6195997761875573 native-country=Hong
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Hidden Weights:
-4.5231276230947195 4.523127623092977
3.732316868479777 -3.7323168684728603
>50K <=50K
Error sum for iteration 1900 = 767.9518069788137
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7158173335739524 -2.9025449386372744 age
0.552757181851537 0.6022438435345135 workclass=Private
0.5159083140915041 -1.0168783671113744 workclass=Self-emp-not-inc
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0.4581538633962615 0.5371609831318854 occupation=Adm-clerical
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2.5307418106384154 0.41118107798552145 race=Other
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-4.487247512441657 1.17854641243027 capital-gain
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2.3263431688716603 -0.13567425850580028 native-country=India
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1.8742934649001277 0.13924662478068806 native-country=Greece
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1.139556002554625 0.7382794473758926 native-country=Laos
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0.8272587222405132 -0.07694578848500304 native-country=Trinadad&Tobago
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Hidden Weights:
-4.495395411653671 4.495395411653107
3.7644471948256757 -3.7644471948233775
>50K <=50K
Error sum for iteration 2000 = 764.3162487616945
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7363683199364432 -2.864495112592512 age
0.5653569475160032 0.6048900329127461 workclass=Private
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1.0097067165702076 0.8964186628043419 education=10th
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0.4092055094754432 0.33299034789013954 education=Preschool
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0.5002777421086483 -0.9611353510309484 native-country=El-Salvador
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Hidden Weights:
-4.46953687538044 4.469536875380242
3.7857281052242677 -3.7857281052235003
>50K <=50K
Error sum for iteration 2100 = 760.7106964144066
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.74871171902278 -2.824668151478503 age
0.5770822537460446 0.6094305120845208 workclass=Private
0.5187416084039183 -1.0557617921312208 workclass=Self-emp-not-inc
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2.235563090706123 1.1988117084958287 education=12th
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2.253356637734723 0.854113909379262 education=1st-4th
1.029881561553377 0.965172045852359 education=10th
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0.43243239738153416 0.3304664174881012 education=Preschool
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3.1035673823686993 -2.349281635216367 native-country=Columbia
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0.7072934432154322 -0.16624223436568705 native-country=Thailand
1.3679813254478077 0.32320986682215014 native-country=Yugoslavia
0.505019924624619 -0.9846316736374615 native-country=El-Salvador
0.8716589579809594 -0.08202135826346121 native-country=Trinadad&Tobago
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0.775932901713158 -0.6213343486262856 native-country=Hong
0.7417532123450401 -0.789533135530845 native-country=Holand-Netherlands
Hidden Weights:
-4.445509896617179 4.445509896617106
3.7976109778407903 -3.79761097784053
>50K <=50K
Error sum for iteration 2200 = 757.1171285523835
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7553744990480737 -2.787451423948055 age
0.5875529139891202 0.6151165181228682 workclass=Private
0.5224323047077754 -1.0728932900443124 workclass=Self-emp-not-inc
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0.40844038035193075 -0.01049813172643795 education=7th-8th
2.2638766089742712 1.2558380166817198 education=12th
0.035779908264223594 0.49259877957610837 education=Masters
2.294254140271046 0.8706717564887889 education=1st-4th
1.0475597947582167 1.028716413150336 education=10th
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0.45417231643711936 0.32864472742999545 education=Preschool
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1.1257011453295853 0.7834176902049493 marital-status=Divorced
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2.609975575222395 0.4076236106187897 race=Other
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-0.4122018075198955 -0.36611431292431107 sex
-4.594787009861355 1.3227465552237339 capital-gain
-1.3333131967650633 2.8265710918061036 capital-loss
-0.7173898612251071 6.53946392867507 hours-per-week
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2.3872720274636836 -0.0803945723377307 native-country=India
2.5002459771245102 -0.7657978744531772 native-country=Japan
1.9193448880076898 0.2859625610290843 native-country=Greece
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1.4019776785779283 -0.1712887393193312 native-country=Poland
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1.0081198706080017 0.06969982996696775 native-country=Mexico
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1.1829439397757635 0.736735295893847 native-country=Laos
0.41195872109082343 -0.6628057008669328 native-country=Ecuador
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1.4123405328150267 0.16938496176556764 native-country=Haiti
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0.743308158399613 -0.7897295919517884 native-country=Holand-Netherlands
Hidden Weights:
-4.423276657154275 4.423276657154249
3.8013722666370593 -3.801372266636963
>50K <=50K
Error sum for iteration 2300 = 753.5478668212188
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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0.5966259671888409 0.6213759662948007 workclass=Private
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0.2069075406176732 -0.7726747664692173 workclass=State-gov
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1.0628546662603313 1.0875850772647546 education=10th
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3.256911818970574 -2.4248432070173926 native-country=Columbia
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1.406792388111722 0.317379774238975 native-country=Yugoslavia
0.5119650192584613 -1.0332811900505514 native-country=El-Salvador
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0.7791632361794429 -0.621574388328573 native-country=Hong
0.7447705061543552 -0.7897491339732196 native-country=Holand-Netherlands
Hidden Weights:
-4.402769206507284 4.402769206507279
3.798141442276167 -3.7981414422761346
>50K <=50K
Error sum for iteration 2400 = 750.0425354205709
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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0.6043658076493135 0.6278819914847733 workclass=Private
0.533195721857618 -1.1037748768933127 workclass=Self-emp-not-inc
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1.075945597212807 1.1422679052380442 education=10th
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0.4939794753449019 0.3266703331509434 education=Preschool
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1.425035345441398 0.31500646443679925 native-country=Yugoslavia
0.5141813951409393 -1.058589123720483 native-country=El-Salvador
0.9330580130068876 -0.08824283594703942 native-country=Trinadad&Tobago
0.7102425111565605 0.8391916022763225 native-country=Peru
0.7806551555642504 -0.6214725275584716 native-country=Hong
0.7461534024936445 -0.7896345841214604 native-country=Holand-Netherlands
Hidden Weights:
-4.3838889965370305 4.38388899653703
3.7889314932945837 -3.788931493294573
>50K <=50K
Error sum for iteration 2500 = 746.6315335625362
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.759447455162228 -2.709077561282635 age
0.6109522421171087 0.6344981984949806 workclass=Private
0.5395233659923243 -1.1182263537889192 workclass=Self-emp-not-inc
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1.3233852360062957 1.672695919162919 workclass=Local-gov
0.20234718232966442 -0.8003555565960153 workclass=State-gov
1.0328070010867803 0.9481368928232408 workclass=Without-pay
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0.015696742345152864 0.2901325052789495 education=Bachelors
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1.3785123794753964 1.4864574504240322 education=11th
0.24108038050338904 -0.15042463409171017 education=HS-grad
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0.43839151783157626 -1.319798885447706 education=9th
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2.3435417085690085 1.4131936019661497 education=12th
0.037750166098428364 0.5598232486496183 education=Masters
2.4101031252516134 0.9175459887285017 education=1st-4th
1.0870423605177246 1.1931896848573085 education=10th
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0.5123781721510896 0.3262904840038373 education=Preschool
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1.901702061187388 0.9111422179262664 marital-status=Married-spouse-absent
1.292366290053427 0.8326432001793607 marital-status=Married-AF-spouse
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0.7224665853876634 -1.0377543493742352 relationship=Husband
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0.4074054909842182 1.413330145692516 race=Amer-Indian-Eskimo
2.682394587322414 0.40545839879996054 race=Other
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-1.3716751874487416 2.8421883213572414 capital-loss
-0.6922900624370864 6.953622408397346 hours-per-week
-0.5747876460877878 -1.3624374576352019 native-country=United-States
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2.4325629746764177 -0.02859562937554306 native-country=India
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1.958803927325276 0.418660517286498 native-country=Greece
0.5024740849722504 -0.24305603604727222 native-country=South
0.7997842931843684 0.3581700796097285 native-country=China
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1.0401425457390958 0.08636424492640046 native-country=Mexico
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1.2222948883353724 0.7367187875178322 native-country=Laos
0.4464343679139196 -0.6691085141488647 native-country=Ecuador
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1.484325560105834 0.16364832620226258 native-country=Haiti
3.39267972150858 -2.492050640658375 native-country=Columbia
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1.6556601205187287 -0.79040594953396 native-country=Nicaragua
0.3583325984580878 -0.7108470213620082 native-country=Scotland
0.6444955430097901 -0.16236813053101332 native-country=Thailand
1.442595829269879 0.31289757330999624 native-country=Yugoslavia
0.5155497764153986 -1.0846639165847158 native-country=El-Salvador
0.9520818568083104 -0.08996211625814787 native-country=Trinadad&Tobago
0.71301364760701 0.8298209320937977 native-country=Peru
0.7820760619485987 -0.621278582761092 native-country=Hong
0.747465070911102 -0.7894279298856789 native-country=Holand-Netherlands
Hidden Weights:
-4.366517405889075 4.366517405889079
3.774659265003456 -3.7746592650034594
>50K <=50K
Error sum for iteration 2600 = 743.3424894407852
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7588844803756767 -2.694500201332314 age
0.616595635188737 0.641188390783935 workclass=Private
0.5460983036593057 -1.1323508796711896 workclass=Self-emp-not-inc
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1.3398288884583418 1.723983751962376 workclass=Local-gov
0.20190979666328152 -0.8117290610248478 workclass=State-gov
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0.01580806457203603 0.28970224532701155 education=Bachelors
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1.3808938947729719 1.4807921305224145 education=11th
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2.3688565473577405 1.4611535395170296 education=12th
0.037566003952893195 0.5788006861270655 education=Masters
2.446766511286888 0.9323220652035811 education=1st-4th
1.0963588167065492 1.240714798246561 education=10th
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0.5299471511227213 0.3261887934302445 education=Preschool
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1.921167910696844 0.9593636113552617 marital-status=Married-spouse-absent
1.296149229502497 0.8336544601763886 marital-status=Married-AF-spouse
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0.5308811822331886 0.7142177800826783 occupation=Adm-clerical
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0.41114316167103615 1.4494532732668137 race=Amer-Indian-Eskimo
2.705230993278129 0.40485149904602025 race=Other
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2.4447713370453 -0.012267547146053707 native-country=India
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1.9709830518919806 0.4603715912106709 native-country=Greece
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1.5060172859813221 0.1631340488798175 native-country=Haiti
3.4546445426103833 -2.522886962261778 native-country=Columbia
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1.4595390651481723 0.3109936195439776 native-country=Yugoslavia
0.5160541930948092 -1.1115665783068975 native-country=El-Salvador
0.9704154435253725 -0.09155112439897556 native-country=Trinadad&Tobago
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0.7834308057767931 -0.6210267669753163 native-country=Hong
0.7487110707115455 -0.7891636131007773 native-country=Holand-Netherlands
Hidden Weights:
-4.350526595347673 4.350526595347673
3.7561569199369544 -3.7561569199369544
>50K <=50K
Error sum for iteration 2700 = 740.1931335249318
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.758092112484028 -2.6847762552174776 age
0.6214879828989353 0.6479511519151028 workclass=Private
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1.4091454539701098 0.05337523048496773 native-country=Cuba
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0.8302312286812709 -0.14955648822981463 native-country=Honduras
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1.5211875529155527 -0.2754772401515318 native-country=Poland
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0.34949031500857947 0.23596580301133355 native-country=Vietnam
1.0570415548122793 0.09876877341515457 native-country=Mexico
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1.2468861760160121 0.7370881996363908 native-country=Laos
0.4678616227075817 -0.6725939556494968 native-country=Ecuador
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1.5267196024347265 0.16316045935457185 native-country=Haiti
3.5130416778969464 -2.552061711622451 native-country=Columbia
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1.710990234915188 -0.818324652765099 native-country=Nicaragua
0.38658875885087407 -0.7165357356654695 native-country=Scotland
0.6240473391286065 -0.16022626732735973 native-country=Thailand
1.475923396586293 0.3092481071230488 native-country=Yugoslavia
0.5156788104386865 -1.1393363670909422 native-country=El-Salvador
0.9880909054261152 -0.09303523277919035 native-country=Trinadad&Tobago
0.7177738483585958 0.8109959772812138 native-country=Peru
0.7847232817282888 -0.6207426930910227 native-country=Hong
0.7498957634980983 -0.7888674059857265 native-country=Holand-Netherlands
Hidden Weights:
-4.335788186142754 4.335788186142754
3.734178201353348 -3.734178201353348
>50K <=50K
Error sum for iteration 2800 = 737.1846541417018
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7572052911083205 -2.6792182917605336 age
0.6257852297810336 0.6547883058473392 workclass=Private
0.5593655261381628 -1.160147294375328 workclass=Self-emp-not-inc
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0.015966014846667334 0.29131935446481766 education=Bachelors
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1.3816989556897283 1.4691747376939277 education=11th
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2.5173920958437734 0.9607325751267699 education=1st-4th
1.1104384005505268 1.3268016132322658 education=10th
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0.5629701463720853 0.3265518398327707 education=Preschool
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1.3033671660354533 0.8359529959551735 marital-status=Married-AF-spouse
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2.749128459049237 0.40360859706721536 race=Other
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3.5681487437506605 -2.579702816723776 native-country=Columbia
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1.4917997935591378 0.3076258756666774 native-country=Yugoslavia
0.5144115594649927 -1.1679948686293657 native-country=El-Salvador
1.0051430498540923 -0.09443491543016383 native-country=Trinadad&Tobago
0.7198734507237027 0.80151331600577 native-country=Peru
0.7859571004861352 -0.6204444811804419 native-country=Hong
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Hidden Weights:
-4.322179247039605 4.322179247039601
3.7094025907861488 -3.709402590786144
>50K <=50K
Error sum for iteration 2900 = 734.3137873339562
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.756277493642915 -2.677199773393238 age
0.6296068723361762 0.6616951257397888 workclass=Private
0.5658979719315952 -1.1739606378339587 workclass=Self-emp-not-inc
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2.4424124664162568 1.5930656196003936 education=12th
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2.551384250931699 0.9744098031193443 education=1st-4th
1.1155438716358572 1.3658890999101252 education=10th
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2.770238886780169 0.4029372297697687 race=Other
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0.5122456728612474 -1.1975511323110262 native-country=El-Salvador
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0.7871358244115824 -0.620144395527548 native-country=Hong
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Hidden Weights:
-4.309585702347646 4.309585702347647
3.6824390126036257 -3.682439012603624
>50K <=50K
Error sum for iteration 3000 = 731.5769192033538
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.755322762668191 -2.678179411110027 age
0.6330422117842898 0.6686602133925261 workclass=Private
0.5723176666153883 -1.1877623221159934 workclass=Self-emp-not-inc
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2.7908215383335597 0.4022194865140651 race=Other
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-4.8232689548557435 1.6697904451577996 capital-gain
-1.4369799589430137 2.858163697976689 capital-loss
-0.7089118913113884 7.548151720615023 hours-per-week
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1.009719965148781 0.9973802316220909 native-country=England
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1.0360295274366798 0.43710863352142526 native-country=Outlying-US(Guam-USVI-etc)
2.483266696653581 0.048161123090135365 native-country=India
2.697728684789883 -0.7761606612126345 native-country=Japan
2.015020668859487 0.617512222427904 native-country=Greece
0.47138023056642253 -0.2042555799584042 native-country=South
0.7711918895432874 0.3381840610021992 native-country=China
1.43276286291215 0.03931334311937977 native-country=Cuba
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1.5716945361559702 -0.3309307263440037 native-country=Poland
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0.25186322999638966 0.23484817620925125 native-country=Vietnam
1.0773876834766032 0.11951668240267872 native-country=Mexico
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1.281715692420636 0.7377584058865618 native-country=Laos
0.498485283058752 -0.6774199528691748 native-country=Ecuador
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1.58367146408107 0.1657047487059006 native-country=Haiti
3.6695273171915046 -2.630851256514952 native-country=Columbia
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0.4260204432715678 -0.7240516860265815 native-country=Scotland
0.6050665637342225 -0.15722034904180543 native-country=Thailand
1.5221989252293429 0.30465360334824043 native-country=Yugoslavia
0.5091797113325467 -1.228006123881231 native-country=El-Salvador
1.0375157430771165 -0.09704062547337816 native-country=Trinadad&Tobago
0.7236921071892758 0.7823508589843138 native-country=Peru
0.7882630013527648 -0.619850359678005 native-country=Hong
0.7531202031003978 -0.7879417107944746 native-country=Holand-Netherlands
Hidden Weights:
-4.297903753661212 4.2979037536612115
3.653829602291675 -3.653829602291676
>50K <=50K
Error sum for iteration 3100 = 728.9679461473163
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.754338360941862 -2.681701589234132 age
0.6361577302167964 0.6756681917569254 workclass=Private
0.5786157624016235 -1.2015638270892204 workclass=Self-emp-not-inc
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1.3958490495784985 1.9424495141609568 workclass=Local-gov
0.20756917868861213 -0.8589011654659984 workclass=State-gov
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1.376726070635632 1.4529181551456227 education=11th
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2.616784565971912 1.0008059685270247 education=1st-4th
1.122585832662315 1.437259889263016 education=10th
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0.6081802250065487 0.3278845601218454 education=Preschool
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1.313417632062418 0.8397760592525111 marital-status=Married-AF-spouse
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2.8108990980906134 0.401450771598657 race=Other
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3.7162680919957043 -2.6545691881106204 native-country=Columbia
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1.5367924614735071 0.3032701632627998 native-country=Yugoslavia
0.5052167724649502 -1.259356040385892 native-country=El-Salvador
1.0529013929823783 -0.09826748568183626 native-country=Trinadad&Tobago
0.7254593719484449 0.7726528050976743 native-country=Peru
0.7893421254604716 -0.6195671778107196 native-country=Hong
0.7540972180207264 -0.7876485313452278 native-country=Holand-Netherlands
Hidden Weights:
-4.287040047826471 4.287040047826472
3.6240535068448683 -3.624053506844867
>50K <=50K
Error sum for iteration 3200 = 726.4786937673653
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7533164181226826 -2.687387360708393 age
0.6390034392272905 0.6827023490959286 workclass=Private
0.5847935255128635 -1.2153656001940578 workclass=Self-emp-not-inc
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1.124748876155941 1.4699166562190882 education=10th
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2.830493919207597 0.40062910520215733 race=Other
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1.617984144593797 0.16887403650226854 native-country=Haiti
3.7606555065809313 -2.6771750940883283 native-country=Columbia
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0.5985466886797025 -0.1554184229557006 native-country=Thailand
1.551021446076497 0.30194007720341826 native-country=Yugoslavia
0.5003633961461917 -1.291594557919115 native-country=El-Salvador
1.0677929213457633 -0.09945300508935478 native-country=Trinadad&Tobago
0.7271555318453156 0.7628662776645455 native-country=Peru
0.7903765830929295 -0.6192974644986531 native-country=Hong
0.7550310714898794 -0.7873693862414713 native-country=Holand-Netherlands
Hidden Weights:
-4.276911185213662 4.276911185213661
3.593530562302549 -3.5935305623025515
>50K <=50K
Error sum for iteration 3300 = 724.0985549949105
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.752249627052057 -2.6949230133282196 age
0.6416176997619869 0.6897464248339076 workclass=Private
0.5908576808490866 -1.2291602657337661 workclass=Self-emp-not-inc
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1.1261343840351312 1.5007701474898938 education=10th
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-4.892029148495612 1.7892335578260217 capital-gain
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1.0822171313042706 -0.10060164378392776 native-country=Trinadad&Tobago
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Hidden Weights:
-4.267442946019853 4.267442946019852
3.562624768898663 -3.56262476889866
>50K <=50K
Error sum for iteration 3400 = 721.8214728723174
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7511337964500435 -2.7040491773485784 age
0.6440306533275236 0.6967855465155506 workclass=Private
0.5968176015851423 -1.2429347977700227 workclass=Self-emp-not-inc
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0.4880222999757242 -1.3587072791698593 native-country=El-Salvador
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Hidden Weights:
-4.2585694359281785 4.258569435928181
3.531647602450451 -3.53164760245045
>50K <=50K
Error sum for iteration 3500 = 719.6380916614538
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.749968753357483 -2.714551482027963 age
0.646266577523396 0.7038065603434586 workclass=Private
0.6026836220743359 -1.2566721353709056 workclass=Self-emp-not-inc
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1.12689220489138 1.5576133043276748 education=10th
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3.8814559110422047 -2.7391201890661545 native-country=Columbia
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0.5954247860095946 -0.1530140259416337 native-country=Thailand
1.5917566715169127 0.2982024188599442 native-country=Yugoslavia
0.48055586202581496 -1.3935659030556877 native-country=El-Salvador
1.1097597449602197 -0.10279915427503598 native-country=Trinadad&Tobago
0.731934719101092 0.7329059055869244 native-country=Peru
0.7932433139928867 -0.6185756226528788 native-country=Hong
0.7576046020137173 -0.786622466924979 native-country=Holand-Netherlands
Hidden Weights:
-4.250232242801279 4.25023224280128
3.5008612835948845 -3.5008612835948827
>50K <=50K
Error sum for iteration 3600 = 717.541626184882
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7487583792965116 -2.7262528987060204 age
0.6483454703778436 0.7107980029663116 workclass=Private
0.6084660315919079 -1.2703524884412771 workclass=Self-emp-not-inc
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0.01556138441175329 0.31462473207997094 education=Bachelors
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1.3603369783725554 1.43276749059712 education=11th
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2.604049004960763 1.8469098371208514 education=12th
0.030350866581941242 0.7238487460330667 education=Masters
2.765859678482816 1.0619275709311904 education=1st-4th
1.1264040304869174 1.5838407261724874 education=10th
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0.6745367404593023 0.3309151691995051 education=Preschool
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1.205140249364769 1.0249160115664113 marital-status=Divorced
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2.0485256112893846 1.3533056611785423 marital-status=Married-spouse-absent
1.3285027925778066 0.8465645257630388 marital-status=Married-AF-spouse
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2.9044782879973376 0.39682135721040385 race=Other
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1.1229212700085949 -0.10385096775030818 native-country=Trinadad&Tobago
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0.7941294557153462 -0.6183625972641076 native-country=Hong
0.7583956923292237 -0.7864020745904147 native-country=Holand-Netherlands
Hidden Weights:
-4.242379639375787 4.242379639375787
3.470482150311556 -3.4704821503115535
>50K <=50K
Error sum for iteration 3700 = 715.5273916168192
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7475101967328457 -2.7390075722935894 age
0.6502841065019224 0.7177499008287564 workclass=Private
0.6141744870878575 -1.2839544465940902 workclass=Self-emp-not-inc
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0.2179591193460198 -0.9113414923758928 workclass=State-gov
1.0455020291846289 0.9500837767731359 workclass=Without-pay
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0.015296641851194604 0.3182725815675132 education=Bachelors
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1.3564142899996023 1.4298885541176551 education=11th
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2.793341083605955 1.0734145944485318 education=1st-4th
1.1254199506781957 1.6087439838137154 education=10th
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0.46308666164927853 -1.46584860485386 native-country=El-Salvador
1.1357021386141088 -0.10487227195891943 native-country=Trinadad&Tobago
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0.7949850689353034 -0.6181616877003027 native-country=Hong
0.7591574904821526 -0.786194249365113 native-country=Holand-Netherlands
Hidden Weights:
-4.234965842296216 4.234965842296214
3.4406842500776382 -3.4406842500776356
>50K <=50K
Error sum for iteration 3800 = 713.5897670973142
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.746234735625926 -2.7526958515247957 age
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0.028533908427012762 0.7494146934372993 education=Masters
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1.1239948149360572 1.6324144690985325 education=10th
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1.3649616222262524 0.7391787234523365 native-country=Laos
0.5742524707802974 -0.6896242274672869 native-country=Ecuador
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1.7074932062714285 0.18239187617622168 native-country=Haiti
3.9867296459011383 -2.793648974051512 native-country=Columbia
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1.9300384369796328 -0.9253271106239939 native-country=Nicaragua
0.5175025840325627 -0.740699925783842 native-country=Scotland
0.5979904135149474 -0.1509132177262475 native-country=Thailand
1.6299584893201144 0.2947600103686948 native-country=Yugoslavia
0.4531056546143514 -1.5032562821748876 native-country=El-Salvador
1.1481198897421412 -0.10586303988033063 native-country=Trinadad&Tobago
0.7364032388074977 0.7019080710424115 native-country=Peru
0.7958123534860378 -0.6179716649572783 native-country=Hong
0.7598921322013452 -0.785997734829506 native-country=Holand-Netherlands
Hidden Weights:
-4.227950329298386 4.227950329298386
3.4116032057191537 -3.411603205719156
>50K <=50K
Error sum for iteration 3900 = 711.723481474902
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7449448140518826 -2.767220239513735 age
0.6537955990189607 0.7315011129823275 workclass=Private
0.6254032443673885 -1.3108349954457084 workclass=Self-emp-not-inc
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1.443442899997024 2.2395876008884232 workclass=Local-gov
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0.014592135733637861 0.32562947356962696 education=Bachelors
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1.3482050710924887 1.4251869029745845 education=11th
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2.669606249826247 1.9387085315458745 education=12th
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2.846134397240323 1.095726930056764 education=1st-4th
1.1221788146508185 1.654935127094064 education=10th
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0.7099375306251579 0.3329167839916755 education=Preschool
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1.3367714124645211 0.8507896225242939 marital-status=Married-AF-spouse
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2.9559186871896888 0.39346399190205383 race=Other
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-0.5788857940815544 -1.3798611068334208 native-country=United-States
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2.5340200760175025 0.15910743571486916 native-country=India
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1.1157598671159474 0.19530809319790224 native-country=Mexico
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1.3745580946904445 0.7393130020840002 native-country=Laos
0.5832294503500823 -0.6911016888373598 native-country=Ecuador
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1.7208207462758827 0.18500766373800787 native-country=Haiti
4.018916842676293 -2.810433304032727 native-country=Columbia
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0.5997758458234854 -0.15026850104889805 native-country=Thailand
1.6422007020239062 0.29366671109498926 native-country=Yugoslavia
0.4423077692216999 -1.541495974349803 native-country=El-Salvador
1.1601907929309172 -0.10682290295921144 native-country=Trinadad&Tobago
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0.7966133150635099 -0.6177912763806133 native-country=Hong
0.7606015600611954 -0.7858112514540281 native-country=Holand-Netherlands
Hidden Weights:
-4.221297214429626 4.221297214429626
3.3833403362166297 -3.3833403362166266
>50K <=50K
Error sum for iteration 4000 = 709.9235323366108
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7436548152445743 -2.782502034075258 age
0.6553911936680988 0.7382857555027161 workclass=Private
0.6309376108550506 -1.3240704755910797 workclass=Self-emp-not-inc
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0.014151972009171428 0.3292933039010974 education=Bachelors
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1.343966679928294 1.4233229716009153 education=11th
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2.69098886863579 1.9675239163158527 education=12th
0.026638761676463615 0.7747967712406967 education=Masters
2.871490479661344 1.1065678480803218 education=1st-4th
1.1200179081433728 1.676381567897415 education=10th
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0.7210904039595161 0.33360320183689496 education=Preschool
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Hidden Weights:
-4.214974681082988 4.214974681082983
3.3559669496287317 -3.3559669496287268
>50K <=50K
Error sum for iteration 4100 = 708.186114285251
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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0.6568925957412572 0.7450011775057067 workclass=Private
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-0.5763913787483693 -1.3672088876649051 native-country=United-States
-3.93887336107675 0.13937539594958331 native-country=Cambodia
1.0410974450997383 1.1049278003434106 native-country=England
0.013420866449980933 -0.5143790091218917 native-country=Puerto-Rico
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1.0551671349325424 0.43946889891920776 native-country=Outlying-US(Guam-USVI-etc)
2.5412861170024197 0.1800327006672424 native-country=India
2.880460907006771 -0.7843103537800484 native-country=Japan
2.104212742352022 0.9953377741570462 native-country=Greece
0.4408476256626286 -0.1497362005582911 native-country=South
0.7521819535821426 0.29692810078984455 native-country=China
1.473156890850004 0.0036617644460999353 native-country=Cuba
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0.9083581945898891 -0.1508767430189232 native-country=Honduras
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1.658928673891586 -0.5104853286718178 native-country=Poland
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0.003419040721358754 0.2304363387325927 native-country=Vietnam
1.1215848923085088 0.21433948367349245 native-country=Mexico
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-0.35695035034030226 -0.26838604045512165 native-country=France
-1.2183509937566799 -0.9426154013775013 native-country=Dominican-Republic
1.3932951106961011 0.7395636149626591 native-country=Laos
0.6008753526337197 -0.6940132061396759 native-country=Ecuador
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1.7463629332602533 0.19041925870535817 native-country=Haiti
4.079495888272565 -2.8421805718259936 native-country=Columbia
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1.9722269368412824 -0.9452033269581608 native-country=Nicaragua
0.547790539764161 -0.7460535774347622 native-country=Scotland
0.604430751352074 -0.1490481851420673 native-country=Thailand
1.6660218964282252 0.29155202211266024 native-country=Yugoslavia
0.41830284654639843 -1.6204262579280837 native-country=El-Salvador
1.1833517095698927 -0.10864723666215037 native-country=Trinadad&Tobago
0.740660402844613 0.6697037028836553 native-country=Peru
0.7981434112224194 -0.6174545142609892 native-country=Hong
0.761951672595529 -0.785463387959259 native-country=Holand-Netherlands
Hidden Weights:
-4.208954472427326 4.208954472427329
3.329528682386676 -3.3295286823866785
>50K <=50K
Error sum for iteration 4200 = 706.5098188800758
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7411359735156706 -2.8151003246086654 age
0.6583076213648519 0.7516416875958382 workclass=Private
0.641873277436837 -1.350032753522687 workclass=Self-emp-not-inc
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1.4553192924633507 2.3461260871839125 workclass=Local-gov
0.22599128167635985 -0.9548290213848506 workclass=State-gov
1.0495519991724929 0.9502609681653645 workclass=Without-pay
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0.01309875809073564 0.33650138490265663 education=Bachelors
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1.3353216693247887 1.420457159749131 education=11th
0.24030522978616173 -0.1660687053446392 education=HS-grad
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0.4144722464738904 -1.6690718491359995 education=9th
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2.7330712424118064 2.0227599975577446 education=12th
0.024662938286333123 0.8001134639755667 education=Masters
2.9202333139104573 1.1276548111711056 education=1st-4th
1.1148258879161053 1.7163230571840826 education=10th
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0.7424875830775808 0.3350058934501074 education=Preschool
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1.2168490702741739 1.1041067050236066 marital-status=Divorced
1.2960295952866738 -0.3448229481280772 marital-status=Never-married
0.9400713094748583 0.8245593926453029 marital-status=Separated
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2.0912734789147143 1.5300878269500853 marital-status=Married-spouse-absent
1.3445716416600375 0.855131255525456 marital-status=Married-AF-spouse
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0.5778882814699511 0.9234245715515706 occupation=Adm-clerical
1.8361268428805835 0.5420893322792572 occupation=Farming-fishing
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1.0514168712568635 -0.44222190399486827 occupation=Priv-house-serv
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0.4227781013512665 -0.946368307137737 occupation=Armed-Forces
0.2321399448013334 2.4764003127547407 relationship=Wife
1.1689355112219249 1.2165307597707364 relationship=Own-child
0.8351913885699405 -1.1196767663457838 relationship=Husband
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0.5554224076716403 -0.6142537039424124 relationship=Other-relative
0.08756462999745124 -0.3550897115071252 relationship=Unmarried
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0.4388066125289071 1.8775276128039833 race=Amer-Indian-Eskimo
3.004430455420384 0.3897332838130603 race=Other
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-0.4174553532028554 -0.32259751684294 sex
-5.057516675394035 2.1178323791161473 capital-gain
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-0.5749730419851993 -1.3597128307241522 native-country=United-States
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1.0428624809138043 1.1118889956132656 native-country=England
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2.544550892160288 0.19008774633784803 native-country=India
2.8938189170234283 -0.7849023338141878 native-country=Japan
2.1108002195390396 1.026650583388355 native-country=Greece
0.4393239939052882 -0.14614676989449113 native-country=South
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1.1242937437741114 0.2240855168515915 native-country=Mexico
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1.4024480181006307 0.7396820527232402 native-country=Laos
0.609545757914165 -0.6954449104013862 native-country=Ecuador
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1.7586234552971807 0.19319322197194308 native-country=Haiti
4.108045978141831 -2.857219147476303 native-country=Columbia
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1.9850932450383685 -0.9511794606936138 native-country=Nicaragua
0.5574882489299507 -0.7477498914011865 native-country=Scotland
0.6072195591698297 -0.14846832000664703 native-country=Thailand
1.677622277609512 0.2905282732458044 native-country=Yugoslavia
0.40511707293518995 -1.6610889328925822 native-country=El-Salvador
1.1944692254792069 -0.109509943690059 native-country=Trinadad&Tobago
0.74203863357005 0.6586716805254548 native-country=Peru
0.7988757240828677 -0.6172958141359276 native-country=Hong
0.7625954194513941 -0.7852996328552103 native-country=Holand-Netherlands
Hidden Weights:
-4.203211438063326 4.203211438063323
3.304049742269638 -3.3040497422696355
>50K <=50K
Error sum for iteration 4300 = 704.8912452393868
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7399380574045864 -2.8323296412711323 age
0.6596429995393268 0.7582021187893934 workclass=Private
0.6472824482042441 -1.3627248638001501 workclass=Self-emp-not-inc
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1.4588392135061554 2.381322546174098 workclass=Local-gov
0.2274904619240601 -0.963461934772957 workclass=State-gov
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0.012488037815951295 0.3400169575995003 education=Bachelors
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1.3309482588370358 1.4194102438856167 education=11th
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0.4107522474994906 -1.6889915711747912 education=9th
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2.753778454650665 2.0492611411318475 education=12th
0.023643865513429504 0.8127672450371121 education=Masters
2.943664570018173 1.137914129471235 education=1st-4th
1.1118681042775274 1.7349403938712935 education=10th
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0.7527486450794704 0.3357242022929945 education=Preschool
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2.0968637985329464 1.556271973080023 marital-status=Married-spouse-absent
1.347080161166418 0.8566066756257442 marital-status=Married-AF-spouse
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0.5795328951695213 0.9356191492058379 occupation=Adm-clerical
1.8388471399314124 0.5444567301014857 occupation=Farming-fishing
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0.43877863361450525 1.8972536602843357 race=Amer-Indian-Eskimo
3.020022702012178 0.3884147833290476 race=Other
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2.5476000359003206 0.1998905335977572 native-country=India
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2.117243938197499 1.0575170941665317 native-country=Greece
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1.6625335779376884 -0.5409441199717054 native-country=Poland
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1.12689521628685 0.23397088258490914 native-country=Mexico
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1.4114648131878458 0.739797233103524 native-country=Laos
0.6181153543210511 -0.6968591565282789 native-country=Ecuador
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1.7705715407227391 0.19599974455222297 native-country=Haiti
4.135530741334079 -2.8717461222806655 native-country=Columbia
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1.997417309595668 -0.9568568663030698 native-country=Nicaragua
0.567001637354855 -0.7494049288430321 native-country=Scotland
0.6102706490676103 -0.14790602699094477 native-country=Thailand
1.689028774573013 0.28952560223256146 native-country=Yugoslavia
0.3911575800807795 -1.702526775698853 native-country=El-Salvador
1.2052951110316952 -0.11033830344665513 native-country=Trinadad&Tobago
0.7433965893749002 0.6474805615060386 native-country=Peru
0.799588101785457 -0.6171421063091926 native-country=Hong
0.7632201085083703 -0.7851411704533474 native-country=Holand-Netherlands
Hidden Weights:
-4.197723134624042 4.1977231346240425
3.279536919593657 -3.2795369195936575
>50K <=50K
Error sum for iteration 4400 = 703.3254973397535
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7388010124365016 -2.850137949820794 age
0.6609045176105256 0.7646778055475753 workclass=Private
0.6526564283906932 -1.375204334474015 workclass=Self-emp-not-inc
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2.7742677923943977 2.0750662222923295 education=12th
0.02260357570408928 0.8254234570909205 education=Masters
2.9664982556130206 1.1479924689233532 education=1st-4th
1.1087125144219196 1.7527293173405165 education=10th
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3.035348503544157 0.387061426480322 race=Other
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-5.087732398568972 2.1859239660980454 capital-gain
-1.5752118041512357 2.924188954744934 capital-loss
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2.5504541077555034 0.20945474533477712 native-country=India
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2.123564332928485 1.0879463067636763 native-country=Greece
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1.663220842630773 -0.5560499571165926 native-country=Poland
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1.1294084098255952 0.24398526189354255 native-country=Mexico
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1.7002501908504475 0.28854317881188835 native-country=Yugoslavia
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Hidden Weights:
-4.19246947687821 4.192469476878211
3.2559832562928497 -3.2559832562928483
>50K <=50K
Error sum for iteration 4500 = 701.8100631309375
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.737738666815124 -2.868504516013662 age
0.6620971526563534 0.7710645798728015 workclass=Private
0.657997361147185 -1.387458644496091 workclass=Self-emp-not-inc
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3.0504200963454218 0.3856746963700922 race=Other
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0.36096945538217373 -1.787637993307881 native-country=El-Salvador
1.2261188747195106 -0.1118874049145353 native-country=Trinadad&Tobago
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Hidden Weights:
-4.18743243497433 4.187432434974327
3.23337129759939 -3.233371297599389
>50K <=50K
Error sum for iteration 4600 = 700.3426229036598
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7367637059210357 -2.8874148594361944 age
0.6632251914886733 0.7773587796499887 workclass=Private
0.663306908881045 -1.399477177823772 workclass=Self-emp-not-inc
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3.01045795494115 1.1676305991541205 education=1st-4th
1.1019200194986531 1.786020044311678 education=10th
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0.7818612578836731 0.3379685930552202 education=Preschool
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1.8047261164369943 0.20453290578043565 native-country=Haiti
4.212202842853884 -2.912548203635395 native-country=Columbia
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1.7221698570618684 0.286636295603662 native-country=Yugoslavia
0.3447708703071784 -1.8312564602664205 native-country=El-Salvador
1.2361387093819944 -0.11260575474838025 native-country=Trinadad&Tobago
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0.8016177617184731 -0.6167008658091958 native-country=Hong
0.7649914645365455 -0.7846872671057702 native-country=Holand-Netherlands
Hidden Weights:
-4.1825957729180505 4.1825957729180505
3.2116758882760084 -3.2116758882760057
>50K <=50K
Error sum for iteration 4700 = 698.9211091156261
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7358875238136946 -2.906859439494398 age
0.664292340243112 0.7835572647644018 workclass=Private
0.668586369780206 -1.411251123353027 workclass=Self-emp-not-inc
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1.3134253386902695 1.4173066979788116 education=11th
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2.8344600241549447 2.1486255259920246 education=12th
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3.031625154072428 1.1772022733666094 education=1st-4th
1.0983324247034225 1.8016125431803336 education=10th
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0.7910254522382378 0.33875524492439374 education=Preschool
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1.2238453163942593 1.1727032740673091 marital-status=Divorced
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0.43742012321360957 1.9713134068319143 race=Amer-Indian-Eskimo
3.079845098319334 0.38280689026935255 race=Other
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-0.41967487461238095 -0.34437837416749506 sex
-5.129568462627012 2.285496145200223 capital-gain
-1.5985045245198346 2.9429695503412736 capital-loss
-0.875621080114577 9.147584808457516 hours-per-week
-0.566497275357941 -1.3119330813840018 native-country=United-States
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1.0508866427845922 1.141429614177699 native-country=England
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2.5580317427476644 0.23684212463162593 native-country=India
2.9546741126167566 -0.7875583911382407 native-country=Japan
2.141962897116735 1.1766929718477672 native-country=Greece
0.43324264542826696 -0.13045555690548966 native-country=South
0.7505830282745125 0.2760490085574788 native-country=China
1.4798958081291749 -0.006952835729528489 native-country=Cuba
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1.6611877378026114 -0.6010375897464818 native-country=Poland
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1.1365830074787617 0.27470359227009405 native-country=Mexico
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1.4462722599882214 0.7402434106515803 native-country=Laos
0.6514001743016498 -0.7023238904960906 native-country=Ecuador
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1.732882728834523 0.28571068548468637 native-country=Yugoslavia
0.32785938257833197 -1.8755396301257798 native-country=El-Salvador
1.2459109264414787 -0.11328501460973434 native-country=Trinadad&Tobago
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Hidden Weights:
-4.177944823225039 4.1779448232250385
3.190866508965403 -3.1908665089654016
>50K <=50K
Error sum for iteration 4800 = 697.5429930406767
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.735120136973639 -2.9268325113336284 age
0.6653018238010142 0.7896574382553667 workclass=Private
0.6738367792731967 -1.4227733454018932 workclass=Self-emp-not-inc
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1.4739639356849212 2.5549447063155837 workclass=Local-gov
0.23449330416195344 -1.0059881142138274 workclass=State-gov
1.053884300260819 0.9502565742786104 workclass=Without-pay
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2.8541077367620575 2.17195650393311 education=12th
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3.0522770549763667 1.1866167731191333 education=1st-4th
1.0946460868250913 1.8165586922089738 education=10th
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1.359029017262806 0.8642151274363438 marital-status=Married-AF-spouse
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3.0942185634223063 0.3813286586939165 race=Other
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1.826250813130397 0.21024738609878857 native-country=Haiti
4.259029372740232 -2.9376850400323216 native-country=Columbia
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0.6285609368632972 -0.14529820411774788 native-country=Thailand
1.7434398539421692 0.2848030029940579 native-country=Yugoslavia
0.31025563781505605 -1.9204487881646266 native-country=El-Salvador
1.2554452278986696 -0.11392397343461241 native-country=Trinadad&Tobago
0.7498505796102217 0.5889151958186569 native-country=Peru
0.8028917961598349 -0.6164139795194682 native-country=Hong
0.7660968094030477 -0.7843930947716857 native-country=Holand-Netherlands
Hidden Weights:
-4.173466292886801 4.173466292886801
3.1709091747118157 -3.170909174711815
>50K <=50K
Error sum for iteration 4900 = 696.2060826057847
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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0.6662564751145996 0.7956572707122657 workclass=Private
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3.0724327215072083 1.195879802736464 education=1st-4th
1.0908799086190915 1.8308969261846575 education=10th
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0.6206302331823547 -0.7585449580131683 native-country=Scotland
0.632682989347375 -0.1448067081562555 native-country=Thailand
1.7538473239221906 0.2839128695444163 native-country=Yugoslavia
0.2919830834814182 -1.965940382927694 native-country=El-Salvador
1.2647508672172296 -0.11452144369498325 native-country=Trinadad&Tobago
0.7510641324398982 0.5766347736825392 native-country=Peru
0.8035078248064157 -0.6162701364287064 native-country=Hong
0.7666294242161312 -0.7842459085358715 native-country=Holand-Netherlands
Hidden Weights:
-4.169148096212242 4.169148096212241
3.15176793580709 -3.151767935807087
>50K <=50K
Error sum for iteration 5000 = 694.9090553402056
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.733944753411606 -2.96835437192696 age
0.6671588145874592 0.8015553263798317 workclass=Private
0.6842537631071403 -1.4450415782260293 workclass=Self-emp-not-inc
-0.04102609112566973 0.8818130723155478 workclass=Self-emp-inc
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1.4790957881570401 2.6232086885673955 workclass=Local-gov
0.23709948878941345 -1.022604544984192 workclass=State-gov
1.05523437581955 0.9502421623983139 workclass=Without-pay
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-0.5926847019228408 -1.2218376205331265 fnlwgt
0.006809415340677058 0.3621347709449018 education=Bachelors
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1.3005331793890371 1.417416181273327 education=11th
0.2371137719879521 -0.14052274360488623 education=HS-grad
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0.3826601426650988 -1.8279018050874654 education=9th
0.14265583651210184 -0.42516351595553054 education=7th-8th
2.892791264155894 2.2169907617986673 education=12th
0.01590503034159916 0.9014621813602378 education=Masters
3.0921105672954834 1.2049969851739926 education=1st-4th
1.0870508699692973 1.8446634096326702 education=10th
-1.059596121655453 2.6712565035572813 education=Doctorate
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0.8169468439791504 0.34128119844377314 education=Preschool
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1.2274080428519776 1.2152421079218143 marital-status=Divorced
1.3132821181581302 -0.41681878824951557 marital-status=Never-married
0.9404669476653539 0.8631477566547064 marital-status=Separated
0.09611651196347092 -1.9553855322808975 marital-status=Widowed
2.127250378008226 1.717964279881299 marital-status=Married-spouse-absent
1.3635622380172343 0.8673727848673106 marital-status=Married-AF-spouse
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0.0811937407599182 -1.129515126315964 occupation=Machine-op-inspct
0.5899259524405475 1.0224702811517066 occupation=Adm-clerical
1.8533044843549291 0.5560799011880994 occupation=Farming-fishing
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1.1196911469051356 -0.4157971113748203 occupation=Priv-house-serv
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0.4702495437672094 -0.9787210332368257 occupation=Armed-Forces
0.2230290375846985 2.6711208733801803 relationship=Wife
1.1861099101947186 1.3192406188660306 relationship=Own-child
0.8688536696163506 -1.1542292940392334 relationship=Husband
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0.589474920939162 -0.5815064089799452 relationship=Other-relative
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0.4353902196378366 2.022541123222222 race=Amer-Indian-Eskimo
3.122331432526915 0.37829062239770594 race=Other
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-5.167733739680651 2.382469406063231 capital-gain
-1.6200323018664764 2.9631342233124673 capital-loss
-0.9083937180871929 9.383776172137145 hours-per-week
-0.5605837607329468 -1.2764141268578484 native-country=United-States
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1.0553516093499493 1.1552456824842157 native-country=England
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1.0683009933462535 0.4415232327003186 native-country=Outlying-US(Guam-USVI-etc)
2.5644721747208448 0.2625084476022552 native-country=India
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2.1598174777418975 1.2617892144963048 native-country=Greece
0.43054738247709956 -0.12251014859441904 native-country=South
0.7511668920911464 0.26603218786328386 native-country=China
1.481963661598395 -0.01042552102379524 native-country=Cuba
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1.6535704089308279 -0.6457810733314526 native-country=Poland
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1.143484981695629 0.30623952046390557 native-country=Mexico
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1.4711796751419206 0.740585661367186 native-country=Laos
0.6753456881789259 -0.7062009383853827 native-country=Ecuador
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1.8469107628829524 0.21593018040549888 native-country=Haiti
4.3028502002281765 -2.961369362995152 native-country=Columbia
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2.0707872947972916 -0.98926891576679 native-country=Nicaragua
0.6290536648702744 -0.7599471044488033 native-country=Scotland
0.6369213075855568 -0.1443220648127035 native-country=Thailand
1.7641108115534707 0.2830399694181437 native-country=Yugoslavia
0.27306821501941514 -2.011965963147991 native-country=El-Salvador
1.2738366752977017 -0.11507627449453647 native-country=Trinadad&Tobago
0.7522477034109747 0.5641497544091015 native-country=Peru
0.8041109211661567 -0.6161249624289855 native-country=Hong
0.7671496785270299 -0.7840975731644098 native-country=Holand-Netherlands
Hidden Weights:
-4.164979210678458 4.1649792106784576
3.133406031233936 -3.133406031233938
>50K <=50K
Error sum for iteration 5100 = 693.6494896845725
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.733549772436963 -2.9899025193995783 age
0.6680111198150462 0.8073507892504695 workclass=Private
0.6894217710967395 -1.4557803723734324 workclass=Self-emp-not-inc
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1.4815036509598873 2.6570688587345197 workclass=Local-gov
0.23836912070887867 -1.0308117202184817 workclass=State-gov
1.0558949580497263 0.950236908385206 workclass=Without-pay
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0.005823593207311718 0.36488410362924534 education=Bachelors
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1.2963243754104279 1.4176949633350342 education=11th
0.23657634330752908 -0.13707557239898535 education=HS-grad
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0.37840556424751615 -1.8477041967174423 education=9th
0.13753519603467987 -0.4293384504109187 education=7th-8th
2.9118303359938142 2.2387406417315754 education=12th
0.014711945885693656 0.9141494245017321 education=Masters
3.1113283501214175 1.2139738637647217 education=1st-4th
1.0831742200629084 1.8578922794021302 education=10th
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0.8250707218984853 0.34219400523213556 education=Preschool
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0.9402985669467483 0.8673831881003418 marital-status=Separated
0.09949702790689055 -1.9646170121907924 marital-status=Widowed
2.130576434726623 1.73831515157682 marital-status=Married-spouse-absent
1.3657815872852483 0.8689771514805339 marital-status=Married-AF-spouse
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0.5913004366471014 1.0350966138203208 occupation=Adm-clerical
1.8548349925573944 0.5570420755606489 occupation=Farming-fishing
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0.43456739017486284 2.0389111757300302 race=Amer-Indian-Eskimo
3.136086158517174 0.37673367001897995 race=Other
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2.5664313252551696 0.27072818847599933 native-country=India
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2.165700016399248 1.2893773869841656 native-country=Greece
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1.8569466033464446 0.21874860829444776 native-country=Haiti
4.323731612115889 -2.972712279486424 native-country=Columbia
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0.6412624814940149 -0.14384305988258914 native-country=Thailand
1.7742356046983756 0.2821840419895683 native-country=Yugoslavia
0.25354077538929104 -2.0584721966142654 native-country=El-Salvador
1.2827110828716062 -0.11558736239612201 native-country=Trinadad&Tobago
0.7533992413059863 0.5514532923493449 native-country=Peru
0.8047018100107746 -0.6159777005962815 native-country=Hong
0.7676582633985846 -0.7839473194276191 native-country=Holand-Netherlands
Hidden Weights:
-4.1609495525129665 4.1609495525129665
3.1157867485030746 -3.115786748503072
>50K <=50K
Error sum for iteration 5200 = 692.4253507918874
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.733289712133704 -3.0119765956569973 age
0.6688154861187618 0.8130434870496424 workclass=Private
0.694563679932437 -1.4662527234097202 workclass=Self-emp-not-inc
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2.1715619331348974 1.3165886549097199 native-country=Greece
0.42905681935856294 -0.11769629473639791 native-country=South
0.7519868182396304 0.2595030676792303 native-country=China
1.4831774486406006 -0.012179773399527288 native-country=Cuba
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0.9555394669502822 -0.15140680811383964 native-country=Honduras
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1.6457023915719406 -0.6756130288510641 native-country=Poland
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1.1480629629614976 0.3276032889023774 native-country=Mexico
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1.4872717882888042 0.740828518838334 native-country=Laos
0.6908411018447296 -0.7086721585395437 native-country=Ecuador
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1.8668006410486222 0.22154685835776677 native-country=Haiti
4.343974080737499 -2.9837439665014074 native-country=Columbia
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2.088283748791028 -0.9964777485440734 native-country=Nicaragua
0.645509221152844 -0.7626555354490546 native-country=Scotland
0.6456942969187546 -0.1433685434094302 native-country=Thailand
1.7842266374060731 0.28134487475635556 native-country=Yugoslavia
0.2334339037938514 -2.1054009728694 native-country=El-Salvador
1.2913821402952916 -0.11605366003104536 native-country=Trinadad&Tobago
0.7545166308490332 0.5385384001721172 native-country=Peru
0.8052811658627311 -0.6158276252632321 native-country=Hong
0.7681558218727215 -0.7837944103108205 native-country=Holand-Netherlands
Hidden Weights:
-4.157049869310414 4.157049869310412
3.098874042427015 -3.0988740424270143
>50K <=50K
Error sum for iteration 5300 = 691.2351565058791
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7331678388706004 -3.034577833059439 age
0.669573878379145 0.8186339106879147 workclass=Private
0.6996801450861924 -1.4764576998547496 workclass=Self-emp-not-inc
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1.4860394272390707 2.7242316206662336 workclass=Local-gov
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0.003744620883948826 0.37006650043551775 education=Bachelors
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2.949309832345177 2.280812769244233 education=12th
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3.1484514925810987 1.231528478156099 education=1st-4th
1.0753314788623058 1.8828649413956051 education=10th
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0.840550863473506 0.3441592882192113 education=Preschool
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2.1366196023462907 1.7771945838412233 marital-status=Married-spouse-absent
1.3701314598047378 0.8722379419203029 marital-status=Married-AF-spouse
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3.163025334733395 0.3735511294410177 race=Other
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-5.2027029828750795 2.4773118343357554 capital-gain
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2.570137880252362 0.2867163849153278 native-country=India
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2.17740975306084 1.343429927712947 native-country=Greece
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1.8764825699445742 0.22432188573984396 native-country=Haiti
4.363609983957957 -2.9944791838060985 native-country=Columbia
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0.6502056001821406 -0.1428974259117991 native-country=Thailand
1.7940885182685495 0.2805222971879246 native-country=Yugoslavia
0.21278422922113874 -2.1526895911421278 native-country=El-Salvador
1.2998575355027375 -0.11647418267501351 native-country=Trinadad&Tobago
0.7555977143569675 0.525397927293392 native-country=Peru
0.8058496172006047 -0.6156740406162299 native-country=Hong
0.7686429530766268 -0.7836381395433075 native-country=Holand-Netherlands
Hidden Weights:
-4.153271647477001 4.153271647476999
3.0826329610551215 -3.0826329610551175
>50K <=50K
Error sum for iteration 5400 = 690.0771096601828
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.733186264397636 -3.057707300255135 age
0.6702881746907591 0.8241232266144785 workclass=Private
0.7047718234657364 -1.4863952217466105 workclass=Self-emp-not-inc
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0.002656346589743013 0.3725039052886995 education=Bachelors
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1.2840392477905604 1.4191005974482904 education=11th
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2.9677526124821725 2.30117429200611 education=12th
0.011003573214747743 0.9522242387079368 education=Masters
3.166389126349303 1.2401168861294107 education=1st-4th
1.0713887516932714 1.8946688568879255 education=10th
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1.3722640254069545 0.873894701743952 marital-status=Married-AF-spouse
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3.176221180215283 0.37192848484025515 race=Other
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1.8038255560314571 0.2797161752975397 native-country=Yugoslavia
0.1916319039103112 -2.2002710342191394 native-country=El-Salvador
1.3081446106721135 -0.11684801308260402 native-country=Trinadad&Tobago
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Hidden Weights:
-4.1496070327044485 4.149607032704449
3.067029921083059 -3.0670299210830567
>50K <=50K
Error sum for iteration 5500 = 688.9498607009734
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.733346037094616 -3.0813655934095063 age
0.6709602023393486 0.8295132796189401 workclass=Private
0.7098393700803329 -1.4960659595719557 workclass=Self-emp-not-inc
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3.1892412106788046 0.3702869156090999 race=Other
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-5.224431778492073 2.5395520195761616 capital-gain
-1.6524037181281335 3.0000741401831763 capital-loss
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1.0750033678675242 0.443096309198912 native-country=Outlying-US(Guam-USVI-etc)
2.5736271495029377 0.3021538278819305 native-country=India
3.035678632862638 -0.7908380090392612 native-country=Japan
2.1890840971861385 1.3960298231230814 native-country=Greece
0.4271939075385102 -0.11107537213560376 native-country=South
0.7537707256263317 0.24992407780258544 native-country=China
1.4849636903939394 -0.014104306954350216 native-country=Cuba
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1.6301229143967273 -0.7205402448660231 native-country=Poland
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1.1550153699868402 0.36000619914913956 native-country=Mexico
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1.5107052721475789 0.7412279145175301 native-country=Laos
0.7134077362330083 -0.7122012275638999 native-country=Ecuador
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1.8953651636444648 0.2297923127203942 native-country=Haiti
4.40118124180434 -3.0151141925469185 native-country=Columbia
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1.8134417825209466 0.278926406767619 native-country=Yugoslavia
0.17002057124173037 -2.248074327884592 native-country=El-Salvador
1.3162503779872758 -0.11717430493035907 native-country=Trinadad&Tobago
0.7576422131130495 0.498410690206177 native-country=Peru
0.8069561113984794 -0.6153537021367923 native-country=Hong
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Hidden Weights:
-4.146048761979983 4.1460487619799835
3.0520328685976055 -3.05203286859761
>50K <=50K
Error sum for iteration 5600 = 687.8514180965074
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7336472351826497 -3.1055525901070142 age
0.6715917665639252 0.8348065839957478 workclass=Private
0.7148834266463142 -1.5054712463738797 workclass=Self-emp-not-inc
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1.492231031776202 2.8235649301293364 workclass=Local-gov
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3.943014148605635E-4 0.3770881702589584 education=Bachelors
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3.0040498449832977 2.340638676469443 education=12th
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3.201092507265973 1.256941890786512 education=1st-4th
1.0635104302397573 1.9170529347226164 education=10th
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0.8618578139849801 0.3475564833837609 education=Preschool
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1.3764490111281078 0.8772616814071742 marital-status=Married-AF-spouse
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3.202089824489157 0.36862793529092347 race=Other
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4.419171472782198 -3.0250387110922543 native-country=Columbia
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1.8229409730236708 0.2781529164192579 native-country=Yugoslavia
0.1479972622197973 -2.2960249839517597 native-country=El-Salvador
1.3241815347301509 -0.11745228522320157 native-country=Trinadad&Tobago
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0.7700471866841866 -0.7831425301624326 native-country=Holand-Netherlands
Hidden Weights:
-4.142590105868732 4.142590105868733
3.0376113547246235 -3.0376113547246284
>50K <=50K
Error sum for iteration 5700 = 686.7804369593392
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7340890588847606 -3.1302672551602355 age
0.6721846725321132 0.8400063015620801 workclass=Private
0.7199046046795704 -1.5146130018661401 workclass=Self-emp-not-inc
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1.0595918411154814 1.927686578392382 education=10th
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1.9136577815971856 0.2351440252003611 native-country=Haiti
4.436665179314665 -3.0347163704663607 native-country=Columbia
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0.6688532928864932 -0.14102710013476563 native-country=Thailand
1.8323266643418616 0.2773956518137513 native-country=Yugoslavia
0.12561221497486938 -2.344045522791783 native-country=El-Salvador
1.3319444778344194 -0.11768125597866022 native-country=Trinadad&Tobago
0.7595151244073406 0.47043028345419513 native-country=Peru
0.8080255263650059 -0.6150116761437563 native-country=Hong
0.770497836050268 -0.7829663256608375 native-country=Holand-Netherlands
Hidden Weights:
-4.139224819949307 4.139224819949309
3.0237365500077393 -3.0237365500077416
>50K <=50K
Error sum for iteration 5800 = 685.7357954610511
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.734669919341094 -3.155507489902654 age
0.672740740938216 0.8451162057395747 workclass=Private
0.7249034655987835 -1.5234936668956907 workclass=Self-emp-not-inc
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0.874787686436477 0.35020749750308544 education=Preschool
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1.2355657823184734 1.3333231906134597 marital-status=Divorced
1.3258925331044127 -0.48481196396001386 marital-status=Never-married
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0.12443078257753151 -2.02020016361453 marital-status=Widowed
2.148677148638501 1.8646546491485079 marital-status=Married-spouse-absent
1.3805325821231433 0.8807007701453459 marital-status=Married-AF-spouse
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0.4273796583905671 2.1451594044586098 race=Amer-Indian-Eskimo
3.2272882954607147 0.3652638534025212 race=Other
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-5.254885416600335 2.6316728697199356 capital-gain
-1.6699740879776337 3.024491608072947 capital-loss
-0.9940611759818805 9.951638326928968 hours-per-week
-0.5433313530968976 -1.1645793996609495 native-country=United-States
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1.06657428489674 1.1787182726986751 native-country=England
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1.078872479273413 0.444259491322236 native-country=Outlying-US(Guam-USVI-etc)
2.578594979294564 0.32439379184325284 native-country=India
3.062053693109289 -0.7917751303546534 native-country=Japan
2.2065986146180516 1.4723241211028744 native-country=Greece
0.4256793538382633 -0.10504923040576336 native-country=South
0.7560998616119368 0.24059411655246754 native-country=China
1.4868688567559747 -0.015345015073046222 native-country=Cuba
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1.6104419211872028 -0.7658576721845878 native-country=Poland
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1.162148814240907 0.3926794562359176 native-country=Mexico
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1.5333589139862032 0.7416834918476228 native-country=Laos
0.735195817639075 -0.7155103936229944 native-country=Ecuador
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1.9225999655585049 0.23777203696228358 native-country=Haiti
4.4536857279558175 -3.044157608971625 native-country=Columbia
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2.13364097209945 -1.0135775015972384 native-country=Nicaragua
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0.6736239697153277 -0.14055854922747846 native-country=Thailand
1.8416021708066947 0.2766545788034177 native-country=Yugoslavia
0.10291861279939013 -2.3920560686631274 native-country=El-Salvador
1.3395453179461927 -0.1178605954301766 native-country=Trinadad&Tobago
0.7603817011804231 0.4560474082475146 native-country=Peru
0.8085475003426092 -0.6148310842585976 native-country=Hong
0.7709405034015737 -0.7827836558722953 native-country=Holand-Netherlands
Hidden Weights:
-4.135947104383207 4.135947104383208
3.0103812163366683 -3.0103812163366683
>50K <=50K
Error sum for iteration 5900 = 684.7159725996912
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.735387522848144 -3.1812700188538843 age
0.6732618176410178 0.8501406317013995 workclass=Private
0.7298805002162021 -1.5321161463261574 workclass=Self-emp-not-inc
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1.497799140204337 2.9212124323201065 workclass=Local-gov
0.2479369023082135 -1.0938420788637653 workclass=State-gov
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0.004410234378537297 1.0157160038960251 education=Masters
3.250427866045855 1.2813746515282212 education=1st-4th
1.051832158008305 1.9479652370109486 education=10th
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0.8808705038895749 0.3516725410901056 education=Preschool
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2.150636378418305 1.8806112999082445 marital-status=Married-spouse-absent
1.3825381926883302 0.8824476183236858 marital-status=Married-AF-spouse
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3.2396449910634852 0.3635618227517272 race=Other
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1.1645741211109002 0.403603752777752 native-country=Mexico
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1.5407479628368976 0.7418503127745155 native-country=Laos
0.7422920455651095 -0.7165636061039128 native-country=Ecuador
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1.9314141052755136 0.24036703641453885 native-country=Haiti
4.470255072429391 -3.053372211826166 native-country=Columbia
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2.1403039626331584 -1.0158326022730353 native-country=Nicaragua
0.6994457784355798 -0.771191817551595 native-country=Scotland
0.6784233714816353 -0.14008798480344742 native-country=Thailand
1.8507705985856961 0.2759296768973752 native-country=Yugoslavia
0.0799722382756677 -2.439975008235811 native-country=El-Salvador
1.3469898929937119 -0.11798975890275112 native-country=Trinadad&Tobago
0.7611987293377493 0.4413913960628567 native-country=Peru
0.8090615471524943 -0.6146433917569123 native-country=Hong
0.771375583897188 -0.7825939856471895 native-country=Holand-Netherlands
Hidden Weights:
-4.1327515706544515 4.132751570654449
2.997519651011278 -2.9975196510112765
>50K <=50K
Error sum for iteration 6000 = 683.7218171996809
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.736238949648876 -3.20755030968779 age
0.6737497777883337 0.8550844133788914 workclass=Private
0.7348361097239842 -1.5404837583594855 workclass=Self-emp-not-inc
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0.24907379777955652 -1.1014029552536677 workclass=State-gov
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1.2613076482568373 1.4237656550323794 education=11th
0.2312660552708377 -0.10552583851644655 education=HS-grad
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0.3383489939358427 -2.0256509407199395 education=9th
0.10318107570468417 -0.4431488041064949 education=7th-8th
3.0743240973036055 2.41498169521166 education=12th
0.003033086075743417 1.0284194097611883 education=Masters
3.2661997511609973 1.2893233914664006 education=1st-4th
1.0480034767243978 1.9576598224166712 education=10th
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0.8866991719368162 0.35324120668371495 education=Preschool
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2.1524619067946467 1.8960904911354646 marital-status=Married-spouse-absent
1.3845205904198639 0.8842127787990591 marital-status=Married-AF-spouse
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0.6030007675471339 1.1511016826157723 occupation=Adm-clerical
1.8641954578162392 0.5575168109263002 occupation=Farming-fishing
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3.2518440358870278 0.36184851119130956 race=Other
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1.0813974789222582 0.44514023730335966 native-country=Outlying-US(Guam-USVI-etc)
2.581803793021156 0.33867500249723187 native-country=India
3.0786452693570663 -0.7923119907979096 native-country=Japan
2.218304560925288 1.5215272585609083 native-country=Greece
0.42480704990073054 -0.10130341119245431 native-country=South
0.7578845436042836 0.23450898846038098 native-country=China
1.4882569771378742 -0.01588479138635403 native-country=Cuba
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1.59526005631453 -0.7963675689989682 native-country=Poland
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1.1670237945092945 0.41453626348789047 native-country=Mexico
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1.548059425779958 0.7420254121001315 native-country=Laos
0.7493073496281502 -0.7175916351023961 native-country=Ecuador
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1.9401056218650776 0.24292855002311786 native-country=Haiti
4.486393856519416 -3.0623693672339827 native-country=Columbia
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2.1467421641898237 -1.0179323098016302 native-country=Nicaragua
0.7067346341850151 -0.7722976996368865 native-country=Scotland
0.6832448581333836 -0.13961468249098702 native-country=Thailand
1.8598348586350393 0.2752209343688676 native-country=Yugoslavia
0.05683104403120283 -2.4877196997006688 native-country=El-Salvador
1.3542837812362887 -0.1180682794249234 native-country=Trinadad&Tobago
0.7619639766255537 0.42645333571707844 native-country=Peru
0.8095680518053583 -0.6144481007029154 native-country=Hong
0.7718034453674703 -0.7823968111777261 native-country=Holand-Netherlands
Hidden Weights:
-4.129633214536795 4.129633214536795
2.985127614016375 -2.9851276140163767
>50K <=50K
Error sum for iteration 6100 = 682.7501631547535
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.737220727059497 -3.2343425240884036 age
0.6742065249291731 0.8599528088472664 workclass=Private
0.7397705899197728 -1.548600188437812 workclass=Self-emp-not-inc
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1.2577803007304467 1.4247172463240176 education=11th
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3.0914169066460215 2.4326961795577375 education=12th
0.001637509205130224 1.0411241516339143 education=Masters
3.28165511861626 1.2971819236331459 education=1st-4th
1.0442161493736681 1.9670902402842902 education=10th
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0.8922745623978643 0.35492122781675906 education=Preschool
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1.2382272385218773 1.3790267265905387 marital-status=Divorced
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1.3864804071689245 0.8859963098030497 marital-status=Married-AF-spouse
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3.263888136100762 0.3601254415120318 race=Other
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1.3614323137554052 -0.11809576806284794 native-country=Trinadad&Tobago
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0.8100673718461029 -0.6142447463674188 native-country=Hong
0.7722244295497092 -0.7821916623227666 native-country=Holand-Netherlands
Hidden Weights:
-4.126587394369011 4.126587394369012
2.973182246740079 -2.9731822467400786
>50K <=50K
Error sum for iteration 6200 = 681.8000260575179
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.738328897132822 -3.2616394982202777 age
0.674633985677873 0.8647514162161156 workclass=Private
0.7446841199752324 -1.5564694461454482 workclass=Self-emp-not-inc
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0.25131138693490745 -1.1163435911824904 workclass=State-gov
1.062669068739381 0.950505511711239 workclass=Without-pay
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1.2543296537132615 1.4257077993771228 education=11th
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3.296805259833975 1.3049545465253296 education=1st-4th
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0.7726388531590221 -0.7819781052939102 native-country=Holand-Netherlands
Hidden Weights:
-4.123609813716247 4.123609813716247
2.9616619880718473 -2.9616619880718478
>50K <=50K
Error sum for iteration 6300 = 680.8701324979759
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
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1.5695466827702882 0.7426045479387394 native-country=Laos
0.7698811359682325 -0.7205235811284334 native-country=Ecuador
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1.965492261234791 0.2504111492084901 native-country=Haiti
4.532415522910933 -3.0881401123574417 native-country=Columbia
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2.1648081163998816 -1.0233470724986602 native-country=Nicaragua
0.7280413524670848 -0.7754528598160789 native-country=Scotland
0.6977797192526582 -0.13817190043531796 native-country=Thailand
1.8864290600128655 0.2731915672895973 native-country=Yugoslavia
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1.3753134708257617 -0.11799648357674734 native-country=Trinadad&Tobago
0.763926542121648 0.3798524027655378 native-country=Peru
0.8110457577414413 -0.6138121715131095 native-country=Hong
0.7730470088334553 -0.7817557455362564 native-country=Holand-Netherlands
Hidden Weights:
-4.1206965075176365 4.120696507517637
2.950546492006377 -2.9505464920063775
>50K <=50K
Error sum for iteration 6400 = 679.9592472340928
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7409065289999335 -3.31771252794383 age
0.675408811752012 0.8741628088668089 workclass=Private
0.7544484337309705 -1.5714838567744311 workclass=Self-emp-not-inc
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1.5059327227434942 3.080300598757179 workclass=Local-gov
0.25349830392133826 -1.1310737890317997 workclass=State-gov
1.0638241262243116 0.9506573323943169 workclass=Without-pay
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1.2476579162242332 1.4277936328649359 education=11th
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0.3200034674121593 -2.1045193754746956 education=9th
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3.1415774088775383 2.483950725345806 education=12th
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3.3262326098863357 1.3202584191212234 education=1st-4th
1.0331472725514592 1.9940329671509367 education=10th
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0.9074965516557627 0.3607009698588611 education=Preschool
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2.1585469947715765 1.9534854209931525 marital-status=Married-spouse-absent
1.392230227255531 0.8914573287407238 marital-status=Married-AF-spouse
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0.9171979109712232 -1.1909805503793505 relationship=Husband
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3.299114789755113 0.354912598216531 race=Other
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-0.5301164178933723 -1.069817465823489 native-country=United-States
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1.0741114965746443 1.1837335459827436 native-country=England
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2.5881378852920913 0.3660866579597614 native-country=India
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2.2418222276073263 1.6161822096677405 native-country=Greece
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1.5604850660731158 -0.8582771259661038 native-country=Poland
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1.177054881496399 0.4582630077986835 native-country=Mexico
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1.5765655914159127 0.7428167478732906 native-country=Laos
0.7765860180329346 -0.7214499846712347 native-country=Ecuador
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1.9737392331117622 0.2528387424179103 native-country=Haiti
4.547015366938016 -3.096349104057439 native-country=Columbia
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2.1704445118111595 -1.0248722216652901 native-country=Nicaragua
0.7349650945330934 -0.7764514830576211 native-country=Scotland
0.7026284981103703 -0.1376814776098789 native-country=Thailand
1.8951022597065907 0.2725473353956429 native-country=Yugoslavia
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1.382055625626308 -0.1178693202012686 native-country=Trinadad&Tobago
0.7644621138792167 0.3636897054224977 native-country=Peru
0.811525411143404 -0.6135822128825181 native-country=Hong
0.7734491659895597 -0.7815242306279239 native-country=Holand-Netherlands
Hidden Weights:
-4.117843830838713 4.117843830838717
2.939816549449806 -2.939816549449807
>50K <=50K
Error sum for iteration 6500 = 679.0663519379865
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.742366191983144 -3.3464678550634313 age
0.6757600483786768 0.8787876532983553 workclass=Private
0.7592989682215636 -1.5786382828240915 workclass=Self-emp-not-inc
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3.1579304607643492 2.5004433049687194 education=12th
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3.34053003545376 1.327797406015873 education=1st-4th
1.0295679775232405 2.0026416352612353 education=10th
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0.9120769028239698 0.3628951548271256 education=Preschool
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3.3105623341184525 0.35316525374677865 race=Other
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4.561271161083397 -3.1043792544240265 native-country=Columbia
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1.3886715058807781 -0.11769034163832988 native-country=Trinadad&Tobago
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0.8119990568406414 -0.613342720461988 native-country=Hong
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Hidden Weights:
-4.11504844939226 4.11504844939226
2.9294540158196325 -2.9294540158196325
>50K <=50K
Error sum for iteration 6600 = 678.1909096879574
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.743932756738072 -3.375686642763895 age
0.6760897102246186 0.8833666363117749 workclass=Private
0.7641280699713419 -1.5855640045080486 workclass=Self-emp-not-inc
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-0.5257945170247887 -1.0367476929470316 native-country=United-States
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1.0763683114904754 1.1829758739863032 native-country=England
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1.0887482957818453 0.4483420583317513 native-country=Outlying-US(Guam-USVI-etc)
2.591310818851951 0.37926948072939876 native-country=India
3.124311369065211 -0.7934988616167283 native-country=Japan
2.2536338746333757 1.6617338754060695 native-country=Greece
0.4224601254239112 -0.09106505459228476 native-country=South
0.7638574174735763 0.2168932533914279 native-country=China
1.4930897438327515 -0.016740786507261598 native-country=Cuba
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1.0053011257404028 -0.15037234362379695 native-country=Honduras
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1.5411163737718097 -0.8897369703224326 native-country=Poland
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1.182194362294256 0.4800736408500906 native-country=Mexico
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1.5903969576614383 0.7432716257691521 native-country=Laos
0.7897736673008534 -0.7232264193550195 native-country=Ecuador
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1.9899322250519575 0.2575970652141742 native-country=Haiti
4.575197337678726 -3.1122370796642675 native-country=Columbia
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2.1811887949140383 -1.0275280363108652 native-country=Nicaragua
0.7485580118228875 -0.7783710679090999 native-country=Scotland
0.7122980681623328 -0.13668364059673105 native-country=Thailand
1.912174206347162 0.27130693614056484 native-country=Yugoslavia
-0.0827297606543875 -2.7659599778945956 native-country=El-Salvador
1.395165372817999 -0.11745953798408272 native-country=Trinadad&Tobago
0.7653416178119581 0.33035580388451474 native-country=Peru
0.8124669303414397 -0.6130934376995086 native-country=Hong
0.7742364510942389 -0.7810325525385652 native-country=Holand-Netherlands
Hidden Weights:
-4.112307331052992 4.112307331052991
2.919441745185482 -2.919441745185481
>50K <=50K
Error sum for iteration 6700 = 677.3322006524786
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.7456007039434174 -3.4053557962899506 age
0.6763996504816708 0.88790564907645 workclass=Private
0.7689353566284239 -1.592266051092629 workclass=Self-emp-not-inc
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1.5102207974733126 3.173603474278199 workclass=Local-gov
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1.0655216385684407 0.9509631995298377 workclass=Without-pay
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1.2382143067657045 1.4311450097104848 education=11th
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0.3062371654959006 -2.163532309995782 education=9th
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3.1900965743798912 2.5326013789066013 education=12th
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3.368339646746528 1.3426674558036271 education=1st-4th
1.0225931241776605 2.0194360868988728 education=10th
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0.9205168963667908 0.3677151855324794 education=Preschool
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2.161981413434893 1.9920993258404591 marital-status=Married-spouse-absent
1.3977968248119454 0.8970830565881422 marital-status=Married-AF-spouse
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0.2011923346440605 3.0408046550048105 relationship=Wife
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3.3330271389465524 0.34966418936654103 race=Other
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4.588807496814882 -3.119928762907 native-country=Columbia
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2.186311685463006 -1.0286665278504827 native-country=Nicaragua
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0.7171080615356819 -0.13617552569334315 native-country=Thailand
1.9205767823224411 0.27071059641849454 native-country=Yugoslavia
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1.4015413026210854 -0.1171769682630261 native-country=Trinadad&Tobago
0.7656809556575853 0.31316120518862894 native-country=Peru
0.8129292453931151 -0.6128341571597079 native-country=Hong
0.7746220089014237 -0.7807719183292615 native-country=Holand-Netherlands
Hidden Weights:
-4.109617737671861 4.109617737671861
2.9097635310610617 -2.909763531061064
>50K <=50K
Error sum for iteration 6800 = 676.4896936111827
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.747364354501605 -3.435461354414153 age
0.6766916582929093 0.8924103675897452 workclass=Private
0.7737203711411301 -1.5987495429553182 workclass=Self-emp-not-inc
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3.2059134428670646 2.548285477023705 education=12th
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3.3818694974904533 1.3500051529619383 education=1st-4th
1.0192022653938375 2.0276655456969572 education=10th
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0.9243850467141355 0.3703481624195379 education=Preschool
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3.344048004514117 0.34791302616421177 race=Other
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4.6021144482069385 -3.1274601765396213 native-country=Columbia
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0.7218945378215168 -0.13566091791594082 native-country=Thailand
1.9288927911228708 0.27012999669936394 native-country=Yugoslavia
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1.4078031947512737 -0.11684275634427584 native-country=Trinadad&Tobago
0.7659502850966216 0.2955983109999833 native-country=Peru
0.8133861948630802 -0.6125647221051178 native-country=Hong
0.7750024295025743 -0.7805011905106226 native-country=Holand-Netherlands
Hidden Weights:
-4.106977216604011 4.106977216604009
2.9004040535008073 -2.900404053500806
>50K <=50K
Error sum for iteration 6900 = 675.6624803768343
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.749217916178734 -3.465988644087673 age
0.6769674417030426 0.8968861736685048 workclass=Private
0.7784826011138852 -1.6050196584052325 workclass=Self-emp-not-inc
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0.4246787133565284 -0.3028877075683158 occupation=Other-service
0.21449500686316703 1.9874208696666098 occupation=Sales
-0.9404756991760836 -0.5658704762702641 occupation=Exec-managerial
0.09702114911122227 1.2308040706421441 occupation=Prof-specialty
1.2041064333086835 3.1362357321027865 occupation=Handlers-cleaners
0.08821170949786156 -1.345396391340113 occupation=Machine-op-inspct
0.6138645036390318 1.2710864205441554 occupation=Adm-clerical
1.867530730629581 0.5424834136836985 occupation=Farming-fishing
-0.006162511284794591 -1.3017076822703524 occupation=Transport-moving
1.263812269793168 -0.3617863869866233 occupation=Priv-house-serv
-1.516871578350317 -3.1944323813552806 occupation=Protective-serv
0.5564365437550426 -1.0372057764702847 occupation=Armed-Forces
0.1984408913181918 3.0796775598417994 relationship=Wife
1.2069783758323211 1.4498307231488852 relationship=Own-child
0.9324341401177104 -1.1977846380592132 relationship=Husband
-0.2406854830640997 -1.2126161960903792 relationship=Not-in-family
0.6403171434725375 -0.5013458002281282 relationship=Other-relative
0.08106789868042166 -0.7135338389819756 relationship=Unmarried
-0.8755527285232094 -0.2950048469746411 race=White
-0.7819452575500894 1.8957504895396409 race=Asian-Pac-Islander
0.4133149818156554 2.28777102074805 race=Amer-Indian-Eskimo
3.3549301449294555 0.346163046461746 race=Other
-0.6749314174092707 -0.056989779097755495 race=Black
-0.42733004158000837 -0.47354721831333185 sex
-5.348230627383347 2.9600436981689544 capital-gain
-1.7250850189765676 3.129980282543825 capital-loss
-1.1066331031174077 10.601855339664883 hours-per-week
-0.5194289528195253 -0.9859053004124787 native-country=United-States
-4.210820096285569 0.23282705035608703 native-country=Cambodia
1.0794576195271215 1.179528886234352 native-country=England
-0.3533002529999681 -1.5117993960216969 native-country=Puerto-Rico
-0.7433862657859722 -0.20895992211173528 native-country=Canada
-0.11615099538933633 4.542014356274281 native-country=Germany
1.0923140832861349 0.4502769454415202 native-country=Outlying-US(Guam-USVI-etc)
2.5961148798255214 0.3984411071718613 native-country=India
3.145120100299249 -0.7938544567144739 native-country=Japan
2.2714034014497644 1.7279774455542565 native-country=Greece
0.42121513720238224 -0.08637707788861448 native-country=South
0.7669168952696872 0.2084496817869129 native-country=China
1.49585460085682 -0.017082529153929354 native-country=Cuba
-2.250102485739182 0.7852346866965353 native-country=Iran
1.014893492492753 -0.1498276389457512 native-country=Honduras
-1.1899234173450215 0.6069005489477866 native-country=Philippines
-2.232353940824701 -2.2881170674822098 native-country=Italy
1.509891217380955 -0.9376204857102546 native-country=Poland
-2.4043421282824458 0.1332306207226812 native-country=Jamaica
-0.12891953310114954 0.22367580099225523 native-country=Vietnam
1.1900255925750642 0.5126599557940186 native-country=Mexico
-0.378525619451273 1.3790413579748362 native-country=Portugal
-1.7215478578567363 -0.3603748524046569 native-country=Ireland
-0.47524847942954246 -0.24025719553464647 native-country=France
-1.284065661872251 -1.6242022575786703 native-country=Dominican-Republic
1.610646652763084 0.7440329486962179 native-country=Laos
0.8090173747842313 -0.7257014187020648 native-country=Ecuador
-0.6669802248051683 0.4108396029063061 native-country=Taiwan
2.0135151565529354 0.26450409905491823 native-country=Haiti
4.615130248736315 -3.134836901595897 native-country=Columbia
-0.07130081829457786 -0.5687969751592448 native-country=Hungary
-1.7303354968405074 2.3606398451357866 native-country=Guatemala
2.1960932433368283 -1.030583113664275 native-country=Nicaragua
0.7683399532782305 -0.7810618682275523 native-country=Scotland
0.7266524326613987 -0.1351396250039712 native-country=Thailand
1.9371238802014055 0.26956496718864553 native-country=Yugoslavia
-0.1503189340804033 -2.8963902534033648 native-country=El-Salvador
1.413954779790067 -0.11645708615586914 native-country=Trinadad&Tobago
0.7661473083445387 0.2776539620649608 native-country=Peru
0.8138379516582531 -0.6122850275591841 native-country=Hong
0.7753778781602427 -0.7802202611653095 native-country=Holand-Netherlands
Hidden Weights:
-4.104383591474494 4.104383591474493
2.891348831831037 -2.891348831831037
>50K <=50K
Options: -I 7000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.01
-S 1682577465
-H 2
-M 0.01
Input Weights:
-2.751135756246923 -3.496611148051585 age
0.6772260671890087 0.9012936674126243 workclass=Private
0.7831742270341295 -1.6110219976247693 workclass=Self-emp-not-inc
-0.061488204234604944 0.9160001531905008 workclass=Self-emp-inc
-0.834346943104073 -2.2572371348716818 workclass=Federal-gov
1.5141003136121487 3.26499953742962 workclass=Local-gov
0.25968973714119126 -1.1743626432294716 workclass=State-gov
1.0671747480417104 0.951367058053232 workclass=Without-pay
-0.3827694694328582 0.703083996146091 workclass=Never-worked
-0.492359598701568 -1.131710485801768 fnlwgt
-0.017267745518639282 0.40151640740034217 education=Bachelors
-0.11219096383024836 -2.4920841683041464 education=Some-college
1.229446396855561 1.4346970648427566 education=11th
0.2257685846848807 -0.07180590503769148 education=HS-grad
-1.495046681959213 -1.5442186662704975 education=Prof-school
-0.24814927529163883 -1.0289667658451014 education=Assoc-acdm
-0.7466892713545884 -3.7204616392755674 education=Assoc-voc
0.2926019200246647 -2.2221958086447775 education=9th
0.08354556431784463 -0.42353342168012187 education=7th-8th
3.236871025120167 2.578755973084701 education=12th
-0.011644072332830548 1.1551469185505232 education=Masters
3.408091083768765 1.3644291876309838 education=1st-4th
1.0126548877226775 2.0438133322926477 education=10th
-1.0833231343616623 3.1258287235784197 education=Doctorate
-1.143460312811021 1.9690252904617334 education=5th-6th
0.9314095721128874 0.37604093200668065 education=Preschool
-2.982768533530201 -0.5391780955123501 education-num
-2.4518977485340705 -1.406925453059907 marital-status=Married-civ-spouse
1.2448858487722798 1.5187361921461566 marital-status=Divorced
1.3372170208669785 -0.590990079250549 marital-status=Never-married
0.9348198877506817 0.9355891025009456 marital-status=Separated
0.17315897344270312 -2.07899765954723 marital-status=Widowed
2.164581827823122 2.0270990297956044 marital-status=Married-spouse-absent
1.4031754929982743 0.9028501152165156 marital-status=Married-AF-spouse
-0.7320579155031914 0.24693333924283195 occupation=Tech-support
0.21859722618818672 1.3434612154623764 occupation=Craft-repair
0.42381629484743255 -0.3090220423822352 occupation=Other-service
0.21415964683602973 2.0033842878388084 occupation=Sales
-0.9395738473708123 -0.5660046545700557 occupation=Exec-managerial
0.09786029621533848 1.24366006331983 occupation=Prof-specialty
1.2018873809092057 3.149035849277347 occupation=Handlers-cleaners
0.0888135601900407 -1.3551788994505827 occupation=Machine-op-inspct
0.6150087105894189 1.2844849074902653 occupation=Adm-clerical
1.8676176122499804 0.5398701848343744 occupation=Farming-fishing
-0.0046459478353820145 -1.3077576302856155 occupation=Transport-moving
1.2708456866547555 -0.3593169877923411 occupation=Priv-house-serv
-1.5205677025788027 -3.2276743858421293 occupation=Protective-serv
0.5601618626068854 -1.0396364151532802 occupation=Armed-Forces
0.19705552914409008 3.098597460479918 relationship=Wife
1.207636978679001 1.4539431199242967 relationship=Own-child
0.9353364095718891 -1.1988547445652806 relationship=Husband
-0.23973563149340665 -1.2230045290911844 relationship=Not-in-family
0.6422921727297205 -0.49697743386107907 relationship=Other-relative
0.08110468013066907 -0.725440932972575 relationship=Unmarried
-0.8770414958030273 -0.30061476787375496 race=White
-0.7836358234334483 1.90058864965647 race=Asian-Pac-Islander
0.41196822451526777 2.2992743472999266 race=Amer-Indian-Eskimo
3.365568445264293 0.34443283467356317 race=Other
-0.6762733957616979 -0.06224422638774749 race=Black
-0.4276954488107052 -0.48135596155313104 sex
-5.355429041030689 2.989008440009492 capital-gain
-1.7294585521815409 3.140634664602087 capital-loss
-1.11648680330604 10.654073529813289 hours-per-week
-0.5173601183672876 -0.9688019013077809 native-country=United-States
-4.215889673525356 0.23602681417505111 native-country=Cambodia
1.0803931567128588 1.177778445432987 native-country=England
-0.36437502928339865 -1.5403115568471681 native-country=Puerto-Rico
-0.7465483778365996 -0.21176583838598861 native-country=Canada
-0.11505341797699777 4.589241448635524 native-country=Germany
1.0934765158508222 0.4509655125066664 native-country=Outlying-US(Guam-USVI-etc)
2.59771457244317 0.4046149422906797 native-country=India
3.1517213655591587 -0.7939375290593841 native-country=Japan
2.2772772414288744 1.7493122061838147 native-country=Greece
0.4207651018974222 -0.08487981700669944 native-country=South
0.7679033380115847 0.20571796095379571 native-country=China
1.4968090200680144 -0.017227064996817514 native-country=Cuba
-2.2529267816617917 0.7806359427952447 native-country=Iran
1.0179884231761898 -0.14962148899907715 native-country=Honduras
-1.190435066601273 0.608316217076489 native-country=Philippines
-2.2396573637734565 -2.29176873398005 native-country=Italy
1.499067203729245 -0.9536122975925962 native-country=Poland
-2.4067690430639446 0.13799774032109785 native-country=Jamaica
-0.12918218344691673 0.2236544987963565 native-country=Vietnam
1.1926359623773433 0.5233712881810998 native-country=Mexico
-0.3773682183818795 1.3935745624613354 native-country=Portugal
-1.7212272467306147 -0.35868227714134837 native-country=Ireland
-0.4786092999324308 -0.23932699221027906 native-country=France
-1.2862639988396742 -1.651535913146772 native-country=Dominican-Republic
1.6172024370930298 0.7443053878384557 native-country=Laos
0.815230568954172 -0.7264688504437278 native-country=Ecuador
-0.6660577266463965 0.41150269704731574 native-country=Taiwan
2.021122039487204 0.2667263533852457 native-country=Haiti
4.627740226079268 -3.1419926938035405 native-country=Columbia
-0.07093387740850741 -0.5685087515676225 native-country=Hungary
-1.7346507053571039 2.395509332984851 native-country=Guatemala
2.2007183771081786 -1.0313608479387082 native-country=Nicaragua
0.7747149606784702 -0.7819018319605388 native-country=Scotland
0.7313297879516887 -0.13461683259690257 native-country=Thailand
1.945190538742127 0.26902071954867013 native-country=Yugoslavia
-0.17195350956799818 -2.9377296470220364 native-country=El-Salvador
1.4199396953973893 -0.11602481785378373 native-country=Trinadad&Tobago
0.7662688822671866 0.25949973722899106 native-country=Peru
0.814280226989535 -0.6119979720202169 native-country=Hong
0.7757448190462859 -0.7799320375736872 native-country=Holand-Netherlands
Hidden Weights:
-4.10186022120533 4.10186022120533
2.8826704333677786 -2.882670433367778
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4280 85.344 %
Incorrectly Classified Instances 735 14.656 %
Mean absolute error 0.2618
Root mean squared error 0.3289
Relative absolute error 70.8884 %
Root relative squared error 76.5388 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
752 473 | a = >50K
262 3528 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4182 83.3898 %
Incorrectly Classified Instances 833 16.6102 %
Mean absolute error 0.272
Root mean squared error 0.3443
Relative absolute error 74.6175 %
Root relative squared error 81.2057 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
687 491 | a = >50K
342 3495 | b = <=50K
|
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