|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1784275118
-H 2
-M 0.01
Input Weights:
0.552505169060675 -0.8533504675568355 age
0.9946519142494281 -0.7560365354731633 workclass=Private
0.7634546455226665 -0.7682566407991742 workclass=Self-emp-not-inc
-0.5489302088818142 0.5166614794124591 workclass=Self-emp-inc
0.4378630960286287 -0.42162474970148067 workclass=Federal-gov
0.0071276573162617485 0.9496900079745316 workclass=Local-gov
-0.6027882597783076 0.5918822317933787 workclass=State-gov
0.016705456731881174 -0.5657834699728885 workclass=Without-pay
-0.5855701891654339 0.17571239215101087 workclass=Never-worked
0.8973857050648426 -0.09685795581362822 fnlwgt
0.6563994471622516 0.6991136050181157 education=Bachelors
0.08280979996350979 0.5205964927477602 education=Some-college
0.19165297405310278 0.8884033968685012 education=11th
-0.4145967657795313 -0.807688942724861 education=HS-grad
-0.11649326921931658 0.09545519805608338 education=Prof-school
-0.6200985591150436 -0.802983634572517 education=Assoc-acdm
0.030571991632721618 0.5132519159735269 education=Assoc-voc
0.22937015319783938 0.7536112914348168 education=9th
0.31587011154302713 -0.990679867557914 education=7th-8th
-0.36647224736234274 0.21025329576720675 education=12th
0.04711296938823728 -0.8988645649043352 education=Masters
0.8329683945927524 0.896692590157133 education=1st-4th
-0.5277095577809323 0.8145170592118056 education=10th
-0.8550662796747366 -0.7591885858119811 education=Doctorate
0.8884941834904418 0.7016816344655854 education=5th-6th
0.07291408630385066 -0.1711108891763926 education=Preschool
0.17359320012064194 0.9488319107019201 education-num
0.7036576300671296 0.09479860474189783 marital-status=Married-civ-spouse
0.6994278783851542 0.41649434054701007 marital-status=Divorced
0.8049528818419973 -0.7419001736563324 marital-status=Never-married
-0.13520359691742767 -0.3843838690966028 marital-status=Separated
0.03340774507844535 -0.9094623935357804 marital-status=Widowed
0.8436342332740661 -0.6412307867716742 marital-status=Married-spouse-absent
0.864703006412239 0.7642259477529187 marital-status=Married-AF-spouse
-0.20087329753015348 0.3125101762254381 occupation=Tech-support
0.7245284272815897 0.20601264956731313 occupation=Craft-repair
-0.41748953121719734 -0.568409271534289 occupation=Other-service
0.6254428536937944 -0.5718827686385393 occupation=Sales
-0.2757954671789131 -0.3603664149579535 occupation=Exec-managerial
-0.9541827731356507 0.6958314109709378 occupation=Prof-specialty
-0.16337329252884847 0.8391565451510985 occupation=Handlers-cleaners
-0.6918566218591062 0.19330851833579277 occupation=Machine-op-inspct
-0.021704135101615174 0.9352762544413971 occupation=Adm-clerical
0.15540658640721872 -0.7835414258811608 occupation=Farming-fishing
0.2670477924067818 0.9346282188995549 occupation=Transport-moving
0.25974920481427355 0.6096551741493328 occupation=Priv-house-serv
-0.6403934590701224 -0.9296710684826162 occupation=Protective-serv
0.04487823915725486 -0.9839424897066114 occupation=Armed-Forces
-0.7876910769081631 -0.6147405721116646 relationship=Wife
-0.67608564372359 0.969304240971202 relationship=Own-child
-0.2258265992492392 0.20339354947255117 relationship=Husband
-0.947269228409215 -0.5496472752980801 relationship=Not-in-family
0.5032009590668522 -0.30009258313146603 relationship=Other-relative
0.02410264824505748 -0.6057332698472142 relationship=Unmarried
-0.5020153262106908 0.45671791249764193 race=White
0.9727739700000131 -0.02149449112509627 race=Asian-Pac-Islander
0.8513489559487173 0.9159850594058023 race=Amer-Indian-Eskimo
0.5621654072090647 -0.8288157467854687 race=Other
-0.09345973460465107 -0.6811987713885888 race=Black
0.6599767940057848 -0.12692787492570856 sex
0.36889603917478 -0.3176343436534328 capital-gain
0.6062127472651555 0.552711131410413 capital-loss
-0.2698601083863008 -0.887278631882777 hours-per-week
0.6007489080242212 0.14569288485501053 native-country=United-States
0.8254332826610098 0.10170392295120645 native-country=Cambodia
0.49979673644163913 -0.6437380188874493 native-country=England
0.28576637518738357 -0.9100628640787796 native-country=Puerto-Rico
-0.8334105405386947 -0.3547624996714045 native-country=Canada
0.4846427269734608 0.51009109479438 native-country=Germany
-0.12987059195162787 -0.010298107493055042 native-country=Outlying-US(Guam-USVI-etc)
0.7165085158004272 -0.38247823774670486 native-country=India
0.209488269346902 0.9277120898354267 native-country=Japan
-0.213048637448503 0.8739146668126432 native-country=Greece
0.6462604253183406 -0.9801148107051505 native-country=South
0.03704693186065389 0.5224876555691838 native-country=China
-0.7155802124851001 -0.672691300544207 native-country=Cuba
0.7558191918581931 -0.3267530489871542 native-country=Iran
-0.7811570630527225 -0.926223036735095 native-country=Honduras
0.7388033843864437 -0.05993465395651976 native-country=Philippines
0.09872175872019362 0.675559112055677 native-country=Italy
0.8041150094971228 -0.9819617925068485 native-country=Poland
-0.11868070649900497 -0.2767812378891352 native-country=Jamaica
0.8509332399021219 -0.016498313294559086 native-country=Vietnam
-0.20989569989567536 -0.679369404244391 native-country=Mexico
0.603360211617042 -0.692154498766056 native-country=Portugal
0.788061128068833 0.05322886254387149 native-country=Ireland
-0.316581786823408 -0.7888524133805825 native-country=France
-0.6755117972385805 0.49138076630598704 native-country=Dominican-Republic
-0.1475503636156903 -0.00222032343398193 native-country=Laos
0.4482015542515436 0.8500559205870561 native-country=Ecuador
0.9960947065424104 -0.787693653813311 native-country=Taiwan
-0.3181756929412194 -0.369133610579762 native-country=Haiti
0.14378622530961782 0.9728071642826406 native-country=Columbia
-0.7553992782309034 0.7690311456415271 native-country=Hungary
0.04253184100081775 -0.3334814278904421 native-country=Guatemala
-0.4375012967725911 0.09157860720445554 native-country=Nicaragua
0.6735952073287128 -0.340504830003999 native-country=Scotland
0.625588293949169 0.4535950807898781 native-country=Thailand
-0.16975011626374048 0.9516619334869734 native-country=Yugoslavia
0.09888243784747397 -0.46024359364129874 native-country=El-Salvador
0.2795102655007642 0.3187439480001353 native-country=Trinadad&Tobago
0.4628304033310806 -0.6242999909683236 native-country=Peru
-0.981149673492216 -0.2155531004455138 native-country=Hong
0.4960360849568135 0.5587067440673164 native-country=Holand-Netherlands
Hidden Weights:
0.601871410767415 0.15412025208419533
-0.8547960876818519 -0.5274060917949936
>50K <=50K
Error sum for iteration 100 = 735.5360213298726
Error sum for iteration 200 = 737.278725219994
Error sum for iteration 300 = 736.3803520733275
Error sum for iteration 400 = 735.4498333444623
Error sum for iteration 500 = 732.9909732544245
Error sum for iteration 600 = 728.8641530759222
Error sum for iteration 700 = 723.5407872616792
Error sum for iteration 800 = 717.6645336314247
Error sum for iteration 900 = 711.6492226262176
Error sum for iteration 1000 = 705.6463670763594
Error sum for iteration 1100 = 699.6524920900125
Error sum for iteration 1200 = 693.6659538319653
Error sum for iteration 1300 = 687.7490345383648
Error sum for iteration 1400 = 682.004806768239
Error sum for iteration 1500 = 676.5197372145549
Error sum for iteration 1600 = 671.3513499199298
Error sum for iteration 1700 = 666.5196381579726
Error sum for iteration 1800 = 662.0163713256298
Error sum for iteration 1900 = 657.8184771768946
Error sum for iteration 2000 = 653.8973970989991
Error sum for iteration 2100 = 650.2238219271248
Error sum for iteration 2200 = 646.770275564998
Error sum for iteration 2300 = 643.5130314220056
Error sum for iteration 2400 = 640.4302267424947
Error sum for iteration 2500 = 637.5038043609411
Error sum for iteration 2600 = 634.7184610267719
Error sum for iteration 2700 = 632.0615524396219
Error sum for iteration 2800 = 629.521703325993
Error sum for iteration 2900 = 627.0893244777571
Error sum for iteration 3000 = 624.756421108549
Error sum for iteration 3100 = 622.515820709921
Error sum for iteration 3200 = 620.3602406094626
Error sum for iteration 3300 = 618.28408002266
Error sum for iteration 3400 = 616.2818365334516
Error sum for iteration 3500 = 614.3487230246204
Error sum for iteration 3600 = 612.4805118088314
Error sum for iteration 3700 = 610.6730482950081
Error sum for iteration 3800 = 608.9226076895659
Error sum for iteration 3900 = 607.2258846724064
Error sum for iteration 4000 = 605.5796986403876
Error sum for iteration 4100 = 603.9811985036071
Error sum for iteration 4200 = 602.4279987871706
Error sum for iteration 4300 = 600.9178518913185
Error sum for iteration 4400 = 599.4487394962396
Error sum for iteration 4500 = 598.0187865820621
Error sum for iteration 4600 = 596.6259484077033
Error sum for iteration 4700 = 595.2680737485074
Error sum for iteration 4800 = 593.9429010051003
Error sum for iteration 4900 = 592.6486087249648
Error sum for iteration 5000 = 591.3836321236687
Error sum for iteration 5100 = 590.1465296940457
Error sum for iteration 5200 = 588.9358974070094
Error sum for iteration 5300 = 587.750471647209
Error sum for iteration 5400 = 586.5890378954177
Error sum for iteration 5500 = 585.45058341806
Error sum for iteration 5600 = 584.334093457677
Error sum for iteration 5700 = 583.2387064524809
Error sum for iteration 5800 = 582.1635782546598
Error sum for iteration 5900 = 581.1080574148616
Error sum for iteration 6000 = 580.0715335212474
Error sum for iteration 6100 = 579.0534384553757
Error sum for iteration 6200 = 578.053212939335
Error sum for iteration 6300 = 577.0704103193037
Error sum for iteration 6400 = 576.1046364358194
Error sum for iteration 6500 = 575.155485181498
Error sum for iteration 6600 = 574.2225471257152
Error sum for iteration 6700 = 573.3054730740544
Error sum for iteration 6800 = 572.4039801824608
Error sum for iteration 6900 = 571.517751608959
Error sum for iteration 7000 = 570.6463754914605
Error sum for iteration 7100 = 569.7895315288537
Error sum for iteration 7200 = 568.9468914694911
Error sum for iteration 7300 = 568.1181347233886
Error sum for iteration 7400 = 567.3029833906098
Error sum for iteration 7500 = 566.5011109656282
Error sum for iteration 7600 = 565.7122573821943
Error sum for iteration 7700 = 564.9361118593774
Error sum for iteration 7800 = 564.1723368666156
Error sum for iteration 7900 = 563.4206319496254
Error sum for iteration 8000 = 562.6807506550483
Options: -I 8000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1784275118
-H 2
-M 0.01
Input Weights:
-1.3994977327920424 -2.494508244058124 age
-0.378475498370857 1.046987471766758 workclass=Private
-0.6979561365659436 2.6388304355297274 workclass=Self-emp-not-inc
1.8845513279630897 -0.6986047706382131 workclass=Self-emp-inc
-0.02623196177680259 -0.609730050134895 workclass=Federal-gov
4.945776783453332 0.6114688146004025 workclass=Local-gov
-0.9870975437333004 1.3901856575721512 workclass=State-gov
0.29122426170038074 -0.22809362833520458 workclass=Without-pay
-0.32132306040000985 0.4826798326262941 workclass=Never-worked
4.567440627611662 -1.582488981251163 fnlwgt
0.587716174448131 -0.7647589927352896 education=Bachelors
0.8855816459335027 0.18102972664915362 education=Some-college
-1.4263801165128331 1.7029224810522128 education=11th
2.322527921507038 -0.29896599851619426 education=HS-grad
-0.07914632996713045 -1.7492447426629485 education=Prof-school
0.6332162443659717 -0.9381100189061115 education=Assoc-acdm
1.0299361159762515 -0.02044910268413662 education=Assoc-voc
2.4643646596404407 1.2708304845281029 education=9th
1.0103103055245688 0.679628716652727 education=7th-8th
3.527711423559097 3.720266095462374 education=12th
-4.374316736982452 0.3100510079520676 education=Masters
1.5071572995904692 5.7290006037087835 education=1st-4th
-0.8458884933429 1.7158169600005018 education=10th
-3.3269854172393543 -1.616293185296865 education=Doctorate
1.9867859695521393 -2.3014747926833232 education=5th-6th
0.8870678567162018 1.4100293238336197 education=Preschool
-3.0666532030776037 -2.3554858769840097 education-num
0.0012092942754081235 -3.8701858569649024 marital-status=Married-civ-spouse
0.11265279982849437 1.6528407458719399 marital-status=Divorced
2.662187681822593 1.3652040958456357 marital-status=Never-married
2.146081106314736 0.09227197079604293 marital-status=Separated
1.4368564994767077 0.4954221622577001 marital-status=Widowed
0.10908456340353197 2.0961523247221545 marital-status=Married-spouse-absent
1.3102147645035245 1.3713478345803516 marital-status=Married-AF-spouse
1.0573129390944145 -1.686939437182322 occupation=Tech-support
3.784724353687771 -0.5271691150501445 occupation=Craft-repair
3.7578885585245274 0.8290480077464236 occupation=Other-service
-0.6504759046135989 -0.11026260133249868 occupation=Sales
-1.528510112385106 -0.7045996876033177 occupation=Exec-managerial
-3.406556704275763 1.149648993377831 occupation=Prof-specialty
0.16132090452031522 0.8182589567059038 occupation=Handlers-cleaners
0.5607471823873946 0.5154461570115204 occupation=Machine-op-inspct
1.0503624963958458 0.5403158965976033 occupation=Adm-clerical
1.3555354661764234 2.0186281655689386 occupation=Farming-fishing
-4.405561109847339 2.2718739909470385 occupation=Transport-moving
1.137155164190651 2.0541416942389756 occupation=Priv-house-serv
1.181589182525099 -0.3192779711763961 occupation=Protective-serv
0.469288942597575 0.43273614914373426 occupation=Armed-Forces
-1.2211728775392166 -0.6338150126777884 relationship=Wife
1.5391806775100834 2.0154650547818878 relationship=Own-child
0.7455654301181409 1.1062107456632462 relationship=Husband
-1.3321843945012226 -0.1244724417775854 relationship=Not-in-family
2.7044343658695635 0.872788275374305 relationship=Other-relative
-0.8459323397178155 0.16385163534298502 relationship=Unmarried
-2.7901456528622424 -0.0014845978304486767 race=White
4.885050630435278 -1.797041388284685 race=Asian-Pac-Islander
0.7242098509887094 0.8498459015134002 race=Amer-Indian-Eskimo
3.47917845519755 4.813508110731701 race=Other
-1.0722673374671825 -0.03305733734933059 race=Black
-1.3311287938773526 -0.17216760075401938 sex
-7.727182803277388 -7.687331449603537 capital-gain
-4.302408219751912 -3.111509900542946 capital-loss
-5.960065171320789 -3.5500666747053358 hours-per-week
2.4378819935741802 -1.19516458373187 native-country=United-States
-1.3049604870580376 -4.92163475090068 native-country=Cambodia
-0.34868774192480745 0.5434736546643888 native-country=England
-1.6323684853777907 -0.8459894212177277 native-country=Puerto-Rico
-1.5178817910707054 -1.2304465329781753 native-country=Canada
0.4128805669774885 -0.31671366923479666 native-country=Germany
1.239133958612744 0.8123097505517579 native-country=Outlying-US(Guam-USVI-etc)
3.667413904687404 2.5232386407434433 native-country=India
1.2315931369069617 3.62253517392762 native-country=Japan
-1.2839925974522837 3.5439904629074017 native-country=Greece
5.709749327259987 -0.3030539864945369 native-country=South
-0.07842988352237037 1.002788935572868 native-country=China
3.185019991061327 1.1778547149930714 native-country=Cuba
0.3092432891470462 -4.515856321662134 native-country=Iran
0.7054798806271975 1.0001408764311321 native-country=Honduras
-4.983069472398144 -1.0824201034524588 native-country=Philippines
-0.20312913606554403 -2.27700973344835 native-country=Italy
0.8774203247791625 1.7294176100975658 native-country=Poland
0.7236148223805798 -4.243664184625009 native-country=Jamaica
1.7362292718649466 1.2758760401428049 native-country=Vietnam
1.1049395768945962 1.5123762160848273 native-country=Mexico
0.3478169027588634 -2.392819853205375 native-country=Portugal
-1.5035487883646457 -2.7163554203780267 native-country=Ireland
0.3262582387865526 -0.8266396337938942 native-country=France
-1.2897810739270068 -1.916425880025637 native-country=Dominican-Republic
0.28119734684666337 2.8758199134751767 native-country=Laos
0.7459024446725689 1.2722216547273515 native-country=Ecuador
-2.105342803251679 -0.1565525961675387 native-country=Taiwan
1.6259171656393747 2.5789001014766786 native-country=Haiti
2.043587181476424 5.634404540670172 native-country=Columbia
-0.4911521494653252 1.0759985861168233 native-country=Hungary
-0.5685920796203514 -1.6973993732050987 native-country=Guatemala
2.540293378789644 2.579071649322735 native-country=Nicaragua
2.136748698822005 0.4447135495381731 native-country=Scotland
0.5952115196644774 2.955414803233364 native-country=Thailand
0.33687746127696566 1.7494825269244232 native-country=Yugoslavia
-0.5995410826258462 0.33567254330495666 native-country=El-Salvador
0.7526554302142953 1.4883248669646878 native-country=Trinadad&Tobago
2.1465153706200133 0.3796732303890061 native-country=Peru
-0.7119778579991877 0.13232323111107425 native-country=Hong
0.7602832137222776 0.8656741845423913 native-country=Holand-Netherlands
Hidden Weights:
-1.4119398367759501 1.4119398367759486
-2.826002750048474 2.826002750048475
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4242 84.5862 %
Incorrectly Classified Instances 773 15.4138 %
Mean absolute error 0.2637
Root mean squared error 0.3308
Relative absolute error 71.4234 %
Root relative squared error 76.9911 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
731 494 | a = >50K
279 3511 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13593 83.49 %
Incorrectly Classified Instances 2688 16.51 %
Mean absolute error 0.2725
Root mean squared error 0.3436
Relative absolute error 74.6159 %
Root relative squared error 80.8774 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2191 1655 | a = >50K
1033 11402 | b = <=50K
|
|
|
