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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 1.0E-4
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.24056502241891
Error sum for iteration 200 = 53.13953964628463
Error sum for iteration 300 = 51.98290765503727
Error sum for iteration 400 = 52.09143757496646
Error sum for iteration 500 = 52.02576776521673
Error sum for iteration 600 = 51.646454545728666
Error sum for iteration 700 = 51.10296019185309
Error sum for iteration 800 = 50.47584049010855
Error sum for iteration 900 = 49.81055911107541
Error sum for iteration 1000 = 49.14218127016806
Error sum for iteration 1100 = 48.50521852729324
Error sum for iteration 1200 = 47.91397683150429
Error sum for iteration 1300 = 47.35538523655702
Error sum for iteration 1400 = 46.80557715123003
Error sum for iteration 1500 = 46.23488383270111
Error sum for iteration 1600 = 45.635664056093525
Error sum for iteration 1700 = 45.00720885880382
Error sum for iteration 1800 = 44.34120634395546
Error sum for iteration 1900 = 43.64762717234498
Error sum for iteration 2000 = 42.933786483376856
Error sum for iteration 2100 = 42.21024724451214
Error sum for iteration 2200 = 41.49031587409733
Error sum for iteration 2300 = 40.78547537444186
Error sum for iteration 2400 = 40.103907862761794
Error sum for iteration 2500 = 39.456288853719556
Error sum for iteration 2600 = 38.86749442292215
Error sum for iteration 2700 = 38.34481121978271
Error sum for iteration 2800 = 37.87661236562349
Error sum for iteration 2900 = 37.43600704793338
Error sum for iteration 3000 = 36.98199455604113
Error sum for iteration 3100 = 36.48060690711647
Error sum for iteration 3200 = 35.937390686889344
Error sum for iteration 3300 = 35.37480629795462
Error sum for iteration 3400 = 34.80979389093488
Error sum for iteration 3500 = 34.25017212809986
Error sum for iteration 3600 = 33.70005838747353
Error sum for iteration 3700 = 33.165987600083064
Error sum for iteration 3800 = 32.64595839483649
Error sum for iteration 3900 = 32.14094712120017
Error sum for iteration 4000 = 31.652830836488686
Error sum for iteration 4100 = 31.181422257198665
Error sum for iteration 4200 = 30.72884462467171
Error sum for iteration 4300 = 30.292927724796197
Error sum for iteration 4400 = 29.87299648914377
Error sum for iteration 4500 = 29.46640894880938
Error sum for iteration 4600 = 29.07549213306804
Error sum for iteration 4700 = 28.695932033764535
Error sum for iteration 4800 = 28.327245540832237
Error sum for iteration 4900 = 27.968685775148177
Error sum for iteration 5000 = 27.619709212820364
Error sum for iteration 5100 = 27.28210862676165
Error sum for iteration 5200 = 26.95741032332875
Error sum for iteration 5300 = 26.64320408025657
Error sum for iteration 5400 = 26.33712923739359
Error sum for iteration 5500 = 26.03884221881405
Error sum for iteration 5600 = 25.749055038969004
Error sum for iteration 5700 = 25.46724099486916
Error sum for iteration 5800 = 25.192361909087847
Error sum for iteration 5900 = 24.924250467750635
Error sum for iteration 6000 = 24.66251798397509
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 1.0E-4
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.71225182322249
Error sum for iteration 200 = 51.682253626997046
Error sum for iteration 300 = 50.112714276679846
Error sum for iteration 400 = 49.10726803513199
Error sum for iteration 500 = 48.23948477962267
Error sum for iteration 600 = 47.84498026315046
Error sum for iteration 700 = 47.8090117242141
Error sum for iteration 800 = 47.95192574344824
Error sum for iteration 900 = 48.12115634916764
Error sum for iteration 1000 = 48.261763140845005
Error sum for iteration 1100 = 48.364565905507924
Error sum for iteration 1200 = 48.42054812626771
Error sum for iteration 1300 = 48.43122661641376
Error sum for iteration 1400 = 48.41041697731399
Error sum for iteration 1500 = 48.38102662627371
Error sum for iteration 1600 = 48.36500988499911
Error sum for iteration 1700 = 48.35643793158533
Error sum for iteration 1800 = 48.28020593775933
Error sum for iteration 1900 = 48.06398830902608
Error sum for iteration 2000 = 47.75918283658766
Error sum for iteration 2100 = 47.43159806320592
Error sum for iteration 2200 = 47.10947027174633
Error sum for iteration 2300 = 46.798400873435966
Error sum for iteration 2400 = 46.496124793699444
Error sum for iteration 2500 = 46.19799663882273
Error sum for iteration 2600 = 45.899334492927935
Error sum for iteration 2700 = 45.59169868899517
Error sum for iteration 2800 = 45.269097550942575
Error sum for iteration 2900 = 44.93034213076786
Error sum for iteration 3000 = 44.57314859828091
Error sum for iteration 3100 = 44.19700704236674
Error sum for iteration 3200 = 43.803230184140816
Error sum for iteration 3300 = 43.39310259905056
Error sum for iteration 3400 = 42.96570035561185
Error sum for iteration 3500 = 42.519341099163746
Error sum for iteration 3600 = 42.052749255829674
Error sum for iteration 3700 = 41.567268590917195
Error sum for iteration 3800 = 41.06356602808659
Error sum for iteration 3900 = 40.54370336715046
Error sum for iteration 4000 = 40.01343732411934
Error sum for iteration 4100 = 39.47833659521099
Error sum for iteration 4200 = 38.94456740552572
Error sum for iteration 4300 = 38.41264888665745
Error sum for iteration 4400 = 37.8858065640412
Error sum for iteration 4500 = 37.37071181676713
Error sum for iteration 4600 = 36.87004064044125
Error sum for iteration 4700 = 36.38147425514644
Error sum for iteration 4800 = 35.904387346497344
Error sum for iteration 4900 = 35.43855384581271
Error sum for iteration 5000 = 34.978151907631286
Error sum for iteration 5100 = 34.51657449008898
Error sum for iteration 5200 = 34.04786975767097
Error sum for iteration 5300 = 33.5681330305887
Error sum for iteration 5400 = 33.07614265210868
Error sum for iteration 5500 = 32.580732870536764
Error sum for iteration 5600 = 32.08911659317981
Error sum for iteration 5700 = 31.61005950709858
Error sum for iteration 5800 = 31.151378416793612
Error sum for iteration 5900 = 30.718789132214145
Error sum for iteration 6000 = 30.318532523028736
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 1.0E-4
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.16054074847008
Error sum for iteration 200 = 53.446845613032856
Error sum for iteration 300 = 52.02054888821505
Error sum for iteration 400 = 51.53044027347694
Error sum for iteration 500 = 51.67428327440824
Error sum for iteration 600 = 51.966485131573236
Error sum for iteration 700 = 52.23851656336799
Error sum for iteration 800 = 52.44084172444899
Error sum for iteration 900 = 52.55782574701902
Error sum for iteration 1000 = 52.58717805679883
Error sum for iteration 1100 = 52.54800480018605
Error sum for iteration 1200 = 52.4443257699656
Error sum for iteration 1300 = 52.29684263901674
Error sum for iteration 1400 = 52.105116133760134
Error sum for iteration 1500 = 51.87893022678254
Error sum for iteration 1600 = 51.63412420041867
Error sum for iteration 1700 = 51.386114800945464
Error sum for iteration 1800 = 51.14056652866047
Error sum for iteration 1900 = 50.90697609718334
Error sum for iteration 2000 = 50.69218703867303
Error sum for iteration 2100 = 50.49737302920854
Error sum for iteration 2200 = 50.32551347285923
Error sum for iteration 2300 = 50.17356434458772
Error sum for iteration 2400 = 50.04238263623319
Error sum for iteration 2500 = 49.93768289724029
Error sum for iteration 2600 = 49.85863316504719
Error sum for iteration 2700 = 49.780014498465505
Error sum for iteration 2800 = 49.68781171350365
Error sum for iteration 2900 = 49.56087041320119
Error sum for iteration 3000 = 49.40262466094336
Error sum for iteration 3100 = 49.22788163303336
Error sum for iteration 3200 = 49.05160655444317
Error sum for iteration 3300 = 48.881681970544534
Error sum for iteration 3400 = 48.731993333338956
Error sum for iteration 3500 = 48.612914614702426
Error sum for iteration 3600 = 48.52828668810474
Error sum for iteration 3700 = 48.48125176695913
Error sum for iteration 3800 = 48.47201909418359
Error sum for iteration 3900 = 48.501713064144504
Error sum for iteration 4000 = 48.56815353131494
Error sum for iteration 4100 = 48.663620506259235
Error sum for iteration 4200 = 48.777819865777396
Error sum for iteration 4300 = 48.89239624617753
Error sum for iteration 4400 = 48.996286613984566
Error sum for iteration 4500 = 49.081317115651835
Error sum for iteration 4600 = 49.14582256643839
Error sum for iteration 4700 = 49.19999554525238
Error sum for iteration 4800 = 49.24202861051
Error sum for iteration 4900 = 49.279514868628056
Error sum for iteration 5000 = 49.31116024689136
Error sum for iteration 5100 = 49.33387210376465
Error sum for iteration 5200 = 49.34744031681697
Error sum for iteration 5300 = 49.35584052572638
Error sum for iteration 5400 = 49.36359159430851
Error sum for iteration 5500 = 49.36543723233561
Error sum for iteration 5600 = 49.366475742291684
Error sum for iteration 5700 = 49.365107218998645
Error sum for iteration 5800 = 49.36293145948337
Error sum for iteration 5900 = 49.35691825280014
Error sum for iteration 6000 = 49.352672383337605
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 1.0E-4
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.459355611973976
Error sum for iteration 200 = 52.261130887899085
Error sum for iteration 300 = 51.201442987706606
Error sum for iteration 400 = 51.01080743969994
Error sum for iteration 500 = 51.08879234679987
Error sum for iteration 600 = 51.168178729452144
Error sum for iteration 700 = 50.94294176065193
Error sum for iteration 800 = 50.393945464471514
Error sum for iteration 900 = 49.74520653198133
Error sum for iteration 1000 = 49.10605639809513
Error sum for iteration 1100 = 48.521245517394206
Error sum for iteration 1200 = 47.995241446341545
Error sum for iteration 1300 = 47.527387564576344
Error sum for iteration 1400 = 47.115341056639316
Error sum for iteration 1500 = 46.75953407339302
Error sum for iteration 1600 = 46.460138619865205
Error sum for iteration 1700 = 46.216356636211096
Error sum for iteration 1800 = 46.029662269952844
Error sum for iteration 1900 = 45.89688994931673
Error sum for iteration 2000 = 45.809923114237
Error sum for iteration 2100 = 45.74506883333276
Error sum for iteration 2200 = 45.66647781831345
Error sum for iteration 2300 = 45.55465662805903
Error sum for iteration 2400 = 45.42673305093268
Error sum for iteration 2500 = 45.32060892177085
Error sum for iteration 2600 = 45.26788278165702
Error sum for iteration 2700 = 45.27569034319988
Error sum for iteration 2800 = 45.316320357455815
Error sum for iteration 2900 = 45.3373857345202
Error sum for iteration 3000 = 45.30661613197501
Error sum for iteration 3100 = 45.23398256463186
Error sum for iteration 3200 = 45.14953868362276
Error sum for iteration 3300 = 45.06533501516458
Error sum for iteration 3400 = 44.969823088452145
Error sum for iteration 3500 = 44.85562086307191
Error sum for iteration 3600 = 44.72601580411023
Error sum for iteration 3700 = 44.58713791341324
Error sum for iteration 3800 = 44.45334775691707
Error sum for iteration 3900 = 44.3645504150492
Error sum for iteration 4000 = 44.398856597007224
Error sum for iteration 4100 = 44.566135261387394
Error sum for iteration 4200 = 44.55524366580662
Error sum for iteration 4300 = 44.23553448953361
Error sum for iteration 4400 = 43.70529567704848
Error sum for iteration 4500 = 43.055672149998685
Error sum for iteration 4600 = 42.347669976386015
Error sum for iteration 4700 = 41.625600601077544
Error sum for iteration 4800 = 40.92126455117947
Error sum for iteration 4900 = 40.246834260919
Error sum for iteration 5000 = 39.614894044166604
Error sum for iteration 5100 = 39.03022576778828
Error sum for iteration 5200 = 38.48961033793834
Error sum for iteration 5300 = 37.99098847898609
Error sum for iteration 5400 = 37.529088929040974
Error sum for iteration 5500 = 37.09905237192496
Error sum for iteration 5600 = 36.69449210791232
Error sum for iteration 5700 = 36.31440092079246
Error sum for iteration 5800 = 35.95463753496819
Error sum for iteration 5900 = 35.61316643258302
Error sum for iteration 6000 = 35.28851635971857
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0112
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.20781207747289
Error sum for iteration 200 = 53.08645579604262
Error sum for iteration 300 = 51.97889663594086
Error sum for iteration 400 = 52.094514807995644
Error sum for iteration 500 = 52.00912981617458
Error sum for iteration 600 = 51.61095429329399
Error sum for iteration 700 = 51.05290704577076
Error sum for iteration 800 = 50.41251037328318
Error sum for iteration 900 = 49.73833830514385
Error sum for iteration 1000 = 49.064080343214336
Error sum for iteration 1100 = 48.42547226862631
Error sum for iteration 1200 = 47.83279706668893
Error sum for iteration 1300 = 47.270126733778284
Error sum for iteration 1400 = 46.71294883440284
Error sum for iteration 1500 = 46.13049524195535
Error sum for iteration 1600 = 45.520043690223915
Error sum for iteration 1700 = 44.87696117759453
Error sum for iteration 1800 = 44.19679366514652
Error sum for iteration 1900 = 43.49054666823023
Error sum for iteration 2000 = 42.765552120694565
Error sum for iteration 2100 = 42.03351768128328
Error sum for iteration 2200 = 41.30890932048023
Error sum for iteration 2300 = 40.60126311519325
Error sum for iteration 2400 = 39.92080222907478
Error sum for iteration 2500 = 39.279180834317714
Error sum for iteration 2600 = 38.70663274235691
Error sum for iteration 2700 = 38.195970042752165
Error sum for iteration 2800 = 37.73554174068475
Error sum for iteration 2900 = 37.29060457487698
Error sum for iteration 3000 = 36.81784128038132
Error sum for iteration 3100 = 36.293713565162356
Error sum for iteration 3200 = 35.73509556480644
Error sum for iteration 3300 = 35.163951683516416
Error sum for iteration 3400 = 34.594260373981705
Error sum for iteration 3500 = 34.03202489521821
Error sum for iteration 3600 = 33.48208916866232
Error sum for iteration 3700 = 32.94818312663428
Error sum for iteration 3800 = 32.42878368788794
Error sum for iteration 3900 = 31.925837408343536
Error sum for iteration 4000 = 31.43950048737189
Error sum for iteration 4100 = 30.97116578954903
Error sum for iteration 4200 = 30.52260406488934
Error sum for iteration 4300 = 30.089938955454787
Error sum for iteration 4400 = 29.67209528133068
Error sum for iteration 4500 = 29.269189864897246
Error sum for iteration 4600 = 28.88010318633938
Error sum for iteration 4700 = 28.502358472154437
Error sum for iteration 4800 = 28.135339220259507
Error sum for iteration 4900 = 27.778364178657803
Error sum for iteration 5000 = 27.430788851607247
Error sum for iteration 5100 = 27.097356924445513
Error sum for iteration 5200 = 26.776021443228192
Error sum for iteration 5300 = 26.463336441592794
Error sum for iteration 5400 = 26.1587440221463
Error sum for iteration 5500 = 25.862264435738535
Error sum for iteration 5600 = 25.574727529082857
Error sum for iteration 5700 = 25.29433528399921
Error sum for iteration 5800 = 25.020955809648765
Error sum for iteration 5900 = 24.75421632676268
Error sum for iteration 6000 = 24.49417930199165
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0112
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.69532524957586
Error sum for iteration 200 = 51.62852035207488
Error sum for iteration 300 = 50.08014854565589
Error sum for iteration 400 = 49.05962283792155
Error sum for iteration 500 = 48.202683795119306
Error sum for iteration 600 = 47.82919132620227
Error sum for iteration 700 = 47.810665005100944
Error sum for iteration 800 = 47.962131056057636
Error sum for iteration 900 = 48.131015032940326
Error sum for iteration 1000 = 48.269647464865024
Error sum for iteration 1100 = 48.36806211411293
Error sum for iteration 1200 = 48.41814208224175
Error sum for iteration 1300 = 48.42252193676746
Error sum for iteration 1400 = 48.39741752693348
Error sum for iteration 1500 = 48.36743196539879
Error sum for iteration 1600 = 48.35276192527726
Error sum for iteration 1700 = 48.33965092102929
Error sum for iteration 1800 = 48.240354099600545
Error sum for iteration 1900 = 47.999590478890646
Error sum for iteration 2000 = 47.68221195675533
Error sum for iteration 2100 = 47.350392781826265
Error sum for iteration 2200 = 47.025908037311495
Error sum for iteration 2300 = 46.71296303849039
Error sum for iteration 2400 = 46.40792218767773
Error sum for iteration 2500 = 46.10643842654747
Error sum for iteration 2600 = 45.80209178142189
Error sum for iteration 2700 = 45.48665071722865
Error sum for iteration 2800 = 45.155730499105076
Error sum for iteration 2900 = 44.807253524732936
Error sum for iteration 3000 = 44.439680894070484
Error sum for iteration 3100 = 44.052982519807806
Error sum for iteration 3200 = 43.6487146567934
Error sum for iteration 3300 = 43.22784933064364
Error sum for iteration 3400 = 42.788377910594356
Error sum for iteration 3500 = 42.32922712409721
Error sum for iteration 3600 = 41.849625860467135
Error sum for iteration 3700 = 41.351087262052516
Error sum for iteration 3800 = 40.83456730117395
Error sum for iteration 3900 = 40.30391651545161
Error sum for iteration 4000 = 39.7642626703708
Error sum for iteration 4100 = 39.22393989866855
Error sum for iteration 4200 = 38.68465428910569
Error sum for iteration 4300 = 38.14881133280663
Error sum for iteration 4400 = 37.620357483951544
Error sum for iteration 4500 = 37.10766216899558
Error sum for iteration 4600 = 36.60799152028123
Error sum for iteration 4700 = 36.120441576273564
Error sum for iteration 4800 = 35.64460564410993
Error sum for iteration 4900 = 35.17886460437865
Error sum for iteration 5000 = 34.71447693025946
Error sum for iteration 5100 = 34.24540732249213
Error sum for iteration 5200 = 33.7663556042325
Error sum for iteration 5300 = 33.27437226304514
Error sum for iteration 5400 = 32.77368243682251
Error sum for iteration 5500 = 32.273116163001106
Error sum for iteration 5600 = 31.782927845276895
Error sum for iteration 5700 = 31.310297668621445
Error sum for iteration 5800 = 30.862407147551966
Error sum for iteration 5900 = 30.445760152776092
Error sum for iteration 6000 = 30.061764684310397
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0112
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.135330505060196
Error sum for iteration 200 = 53.41414853088275
Error sum for iteration 300 = 51.98634713915629
Error sum for iteration 400 = 51.52936970754013
Error sum for iteration 500 = 51.68762103163749
Error sum for iteration 600 = 51.98494066855205
Error sum for iteration 700 = 52.25450985394194
Error sum for iteration 800 = 52.45108889858329
Error sum for iteration 900 = 52.56050717598522
Error sum for iteration 1000 = 52.581376726573986
Error sum for iteration 1100 = 52.5329133556692
Error sum for iteration 1200 = 52.420876799263795
Error sum for iteration 1300 = 52.26503058586616
Error sum for iteration 1400 = 52.06565833032719
Error sum for iteration 1500 = 51.83158653274889
Error sum for iteration 1600 = 51.582828817672514
Error sum for iteration 1700 = 51.33144468527216
Error sum for iteration 1800 = 51.08507149527653
Error sum for iteration 1900 = 50.852104780186785
Error sum for iteration 2000 = 50.63842439263964
Error sum for iteration 2100 = 50.44639882325909
Error sum for iteration 2200 = 50.27687475862289
Error sum for iteration 2300 = 50.12839295260399
Error sum for iteration 2400 = 50.00159583733088
Error sum for iteration 2500 = 49.90449213764288
Error sum for iteration 2600 = 49.825141576640135
Error sum for iteration 2700 = 49.74297884669951
Error sum for iteration 2800 = 49.63969713328966
Error sum for iteration 2900 = 49.4981296625516
Error sum for iteration 3000 = 49.32945555440646
Error sum for iteration 3100 = 49.14931934712927
Error sum for iteration 3200 = 48.971040425832115
Error sum for iteration 3300 = 48.802923868120104
Error sum for iteration 3400 = 48.66097977735817
Error sum for iteration 3500 = 48.5501214140044
Error sum for iteration 3600 = 48.477107195563626
Error sum for iteration 3700 = 48.4434820443707
Error sum for iteration 3800 = 48.44774322356896
Error sum for iteration 3900 = 48.49240400926372
Error sum for iteration 4000 = 48.57185534995868
Error sum for iteration 4100 = 48.67578869241655
Error sum for iteration 4200 = 48.79327414845718
Error sum for iteration 4300 = 48.90460629569772
Error sum for iteration 4400 = 49.0004001378529
Error sum for iteration 4500 = 49.07596187088679
Error sum for iteration 4600 = 49.132892706496975
Error sum for iteration 4700 = 49.18150871613771
Error sum for iteration 4800 = 49.220433395276665
Error sum for iteration 4900 = 49.25542212264353
Error sum for iteration 5000 = 49.2813402447374
Error sum for iteration 5100 = 49.29935991247206
Error sum for iteration 5200 = 49.30814927457046
Error sum for iteration 5300 = 49.31772168054059
Error sum for iteration 5400 = 49.321916107601616
Error sum for iteration 5500 = 49.323934033499334
Error sum for iteration 5600 = 49.32266976383987
Error sum for iteration 5700 = 49.321596200400776
Error sum for iteration 5800 = 49.31708845182845
Error sum for iteration 5900 = 49.311025772284204
Error sum for iteration 6000 = 49.30979486900379
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0112
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.43874912868108
Error sum for iteration 200 = 52.233345438040466
Error sum for iteration 300 = 51.182720374211684
Error sum for iteration 400 = 51.01327568082418
Error sum for iteration 500 = 51.095928240862506
Error sum for iteration 600 = 51.164697526082406
Error sum for iteration 700 = 50.90748309644434
Error sum for iteration 800 = 50.334554490803164
Error sum for iteration 900 = 49.67556334198673
Error sum for iteration 1000 = 49.033073383933505
Error sum for iteration 1100 = 48.44830071102821
Error sum for iteration 1200 = 47.92327649116189
Error sum for iteration 1300 = 47.45745756063471
Error sum for iteration 1400 = 47.04861180099179
Error sum for iteration 1500 = 46.69753780123093
Error sum for iteration 1600 = 46.40354783150409
Error sum for iteration 1700 = 46.16697907578078
Error sum for iteration 1800 = 45.98823555496738
Error sum for iteration 1900 = 45.86394209500575
Error sum for iteration 2000 = 45.783394900205856
Error sum for iteration 2100 = 45.7187293972514
Error sum for iteration 2200 = 45.63356277532778
Error sum for iteration 2300 = 45.51561740320569
Error sum for iteration 2400 = 45.390059198492544
Error sum for iteration 2500 = 45.29661338787583
Error sum for iteration 2600 = 45.26279640980596
Error sum for iteration 2700 = 45.28582700742453
Error sum for iteration 2800 = 45.326238871747776
Error sum for iteration 2900 = 45.33064333897699
Error sum for iteration 3000 = 45.28164491332347
Error sum for iteration 3100 = 45.19980066959994
Error sum for iteration 3200 = 45.11421198498509
Error sum for iteration 3300 = 45.02596051568987
Error sum for iteration 3400 = 44.92108020098566
Error sum for iteration 3500 = 44.79770031284748
Error sum for iteration 3600 = 44.66124975483041
Error sum for iteration 3700 = 44.519689329051545
Error sum for iteration 3800 = 44.396388709628766
Error sum for iteration 3900 = 44.34990090196041
Error sum for iteration 4000 = 44.46452157225436
Error sum for iteration 4100 = 44.59598692852685
Error sum for iteration 4200 = 44.423801453060406
Error sum for iteration 4300 = 43.985149020664615
Error sum for iteration 4400 = 43.376936919198435
Error sum for iteration 4500 = 42.68495983715753
Error sum for iteration 4600 = 41.95601643344325
Error sum for iteration 4700 = 41.23448290381075
Error sum for iteration 4800 = 40.53686315040285
Error sum for iteration 4900 = 39.87845269990557
Error sum for iteration 5000 = 39.26673303805968
Error sum for iteration 5100 = 38.701482333181666
Error sum for iteration 5200 = 38.18122596425617
Error sum for iteration 5300 = 37.699902584299615
Error sum for iteration 5400 = 37.25399681271703
Error sum for iteration 5500 = 36.83572232812555
Error sum for iteration 5600 = 36.442778628744506
Error sum for iteration 5700 = 36.072433908832274
Error sum for iteration 5800 = 35.72110754031411
Error sum for iteration 5900 = 35.38747570951823
Error sum for iteration 6000 = 35.070289311135646
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0223
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.17383287571147
Error sum for iteration 200 = 53.03343457840438
Error sum for iteration 300 = 51.975763226926325
Error sum for iteration 400 = 52.097057095048974
Error sum for iteration 500 = 51.990928949766115
Error sum for iteration 600 = 51.57379171040005
Error sum for iteration 700 = 51.0010893131305
Error sum for iteration 800 = 50.347498468514715
Error sum for iteration 900 = 49.66436422527951
Error sum for iteration 1000 = 48.98466733070723
Error sum for iteration 1100 = 48.34476360144829
Error sum for iteration 1200 = 47.75040969422484
Error sum for iteration 1300 = 47.1827340938693
Error sum for iteration 1400 = 46.61738440343856
Error sum for iteration 1500 = 46.02238017851397
Error sum for iteration 1600 = 45.40031941827359
Error sum for iteration 1700 = 44.742272516597254
Error sum for iteration 1800 = 44.0481905515031
Error sum for iteration 1900 = 43.329028911039295
Error sum for iteration 2000 = 42.59320661016425
Error sum for iteration 2100 = 41.853249120946266
Error sum for iteration 2200 = 41.124483871786055
Error sum for iteration 2300 = 40.41517890940797
Error sum for iteration 2400 = 39.736638309789875
Error sum for iteration 2500 = 39.10477059741357
Error sum for iteration 2600 = 38.54736972270532
Error sum for iteration 2700 = 38.049346832992335
Error sum for iteration 2800 = 37.593785220997034
Error sum for iteration 2900 = 37.13926737807517
Error sum for iteration 3000 = 36.643467239678586
Error sum for iteration 3100 = 36.09824079964253
Error sum for iteration 3200 = 35.52667070880749
Error sum for iteration 3300 = 34.94879484560335
Error sum for iteration 3400 = 34.375249949149385
Error sum for iteration 3500 = 33.810860895061474
Error sum for iteration 3600 = 33.26196572704583
Error sum for iteration 3700 = 32.72821336518607
Error sum for iteration 3800 = 32.20990171769443
Error sum for iteration 3900 = 31.709191949085355
Error sum for iteration 4000 = 31.225530240644144
Error sum for iteration 4100 = 30.7614055380815
Error sum for iteration 4200 = 30.31522109329687
Error sum for iteration 4300 = 29.88578884296045
Error sum for iteration 4400 = 29.47018121702444
Error sum for iteration 4500 = 29.070849092484558
Error sum for iteration 4600 = 28.68359561977388
Error sum for iteration 4700 = 28.307683778514736
Error sum for iteration 4800 = 27.94232598390152
Error sum for iteration 4900 = 27.58690778740004
Error sum for iteration 5000 = 27.24312767151866
Error sum for iteration 5100 = 26.91316015971003
Error sum for iteration 5200 = 26.593611928051665
Error sum for iteration 5300 = 26.28247537413082
Error sum for iteration 5400 = 25.979404845885373
Error sum for iteration 5500 = 25.6855565950216
Error sum for iteration 5600 = 25.399480929774505
Error sum for iteration 5700 = 25.120587797784875
Error sum for iteration 5800 = 24.848661922024586
Error sum for iteration 5900 = 24.583323657396125
Error sum for iteration 6000 = 24.327198997959627
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0223
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.678372677956396
Error sum for iteration 200 = 51.57441884886336
Error sum for iteration 300 = 50.04711797443214
Error sum for iteration 400 = 49.011140889267836
Error sum for iteration 500 = 48.166499595914196
Error sum for iteration 600 = 47.814473106407334
Error sum for iteration 700 = 47.813178286864044
Error sum for iteration 800 = 47.97251551426286
Error sum for iteration 900 = 48.14090740100791
Error sum for iteration 1000 = 48.277172023004
Error sum for iteration 1100 = 48.370696589942646
Error sum for iteration 1200 = 48.414647873483716
Error sum for iteration 1300 = 48.41267533385396
Error sum for iteration 1400 = 48.383573831737834
Error sum for iteration 1500 = 48.35343878811371
Error sum for iteration 1600 = 48.339964315693166
Error sum for iteration 1700 = 48.31991446629579
Error sum for iteration 1800 = 48.19470809851304
Error sum for iteration 1900 = 47.93133076006316
Error sum for iteration 2000 = 47.60331448802138
Error sum for iteration 2100 = 47.267386308303195
Error sum for iteration 2200 = 46.94076605620557
Error sum for iteration 2300 = 46.62572098579368
Error sum for iteration 2400 = 46.31754297063556
Error sum for iteration 2500 = 46.01207924599668
Error sum for iteration 2600 = 45.701725422582165
Error sum for iteration 2700 = 45.377665517078164
Error sum for iteration 2800 = 45.0378623886863
Error sum for iteration 2900 = 44.67939753812332
Error sum for iteration 3000 = 44.30102956968295
Error sum for iteration 3100 = 43.90357877807871
Error sum for iteration 3200 = 43.48832327915121
Error sum for iteration 3300 = 43.056135547525045
Error sum for iteration 3400 = 42.60425639468114
Error sum for iteration 3500 = 42.13164575330898
Error sum for iteration 3600 = 41.638901691986014
Error sum for iteration 3700 = 41.12706062903024
Error sum for iteration 3800 = 40.597849325122354
Error sum for iteration 3900 = 40.05678398026429
Error sum for iteration 4000 = 39.50966641995057
Error sum for iteration 4100 = 38.96377668222984
Error sum for iteration 4200 = 38.419750700037696
Error sum for iteration 4300 = 37.88089952777255
Error sum for iteration 4400 = 37.35388054221975
Error sum for iteration 4500 = 36.84224589858153
Error sum for iteration 4600 = 36.343703302706544
Error sum for iteration 4700 = 35.85758101555603
Error sum for iteration 4800 = 35.38362405234937
Error sum for iteration 4900 = 34.91499153049414
Error sum for iteration 5000 = 34.44473779457946
Error sum for iteration 5100 = 33.96620136881501
Error sum for iteration 5200 = 33.47505294236706
Error sum for iteration 5300 = 32.97079268749072
Error sum for iteration 5400 = 32.464049295147554
Error sum for iteration 5500 = 31.963244076863376
Error sum for iteration 5600 = 31.476727822694535
Error sum for iteration 5700 = 31.013639890727223
Error sum for iteration 5800 = 30.580016146380274
Error sum for iteration 5900 = 30.180822583219726
Error sum for iteration 6000 = 29.812925968355113
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0223
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.10974827353341
Error sum for iteration 200 = 53.380665438545215
Error sum for iteration 300 = 51.952738662873394
Error sum for iteration 400 = 51.529306313559125
Error sum for iteration 500 = 51.70179734345405
Error sum for iteration 600 = 52.003524040528944
Error sum for iteration 700 = 52.27059414075489
Error sum for iteration 800 = 52.46100304749595
Error sum for iteration 900 = 52.56214514583702
Error sum for iteration 1000 = 52.574561849429706
Error sum for iteration 1100 = 52.51627164298197
Error sum for iteration 1200 = 52.39610230375577
Error sum for iteration 1300 = 52.231280585023434
Error sum for iteration 1400 = 52.024245804069395
Error sum for iteration 1500 = 51.78277125041502
Error sum for iteration 1600 = 51.52996415146129
Error sum for iteration 1700 = 51.275583431367764
Error sum for iteration 1800 = 51.02844906358427
Error sum for iteration 1900 = 50.7964036666495
Error sum for iteration 2000 = 50.58417515776655
Error sum for iteration 2100 = 50.3951196473789
Error sum for iteration 2200 = 50.22819173363348
Error sum for iteration 2300 = 50.08339858497564
Error sum for iteration 2400 = 49.96212721461438
Error sum for iteration 2500 = 49.87203934932752
Error sum for iteration 2600 = 49.79011660986619
Error sum for iteration 2700 = 49.70308398145242
Error sum for iteration 2800 = 49.58524932295669
Error sum for iteration 2900 = 49.43017459645561
Error sum for iteration 3000 = 49.25250680658778
Error sum for iteration 3100 = 49.06843709654968
Error sum for iteration 3200 = 48.8886641341333
Error sum for iteration 3300 = 48.72447472148102
Error sum for iteration 3400 = 48.59091205129014
Error sum for iteration 3500 = 48.49071213644692
Error sum for iteration 3600 = 48.42935136298214
Error sum for iteration 3700 = 48.40896732124267
Error sum for iteration 3800 = 48.42814328097266
Error sum for iteration 3900 = 48.48707992590638
Error sum for iteration 4000 = 48.57848365567344
Error sum for iteration 4100 = 48.69109265106172
Error sum for iteration 4200 = 48.80676419232536
Error sum for iteration 4300 = 48.91252695042855
Error sum for iteration 4400 = 48.99939015346647
Error sum for iteration 4500 = 49.06455753383831
Error sum for iteration 4600 = 49.117280646211064
Error sum for iteration 4700 = 49.15831587192979
Error sum for iteration 4800 = 49.19552213812382
Error sum for iteration 4900 = 49.226410998664264
Error sum for iteration 5000 = 49.247831243574936
Error sum for iteration 5100 = 49.26030879795283
Error sum for iteration 5200 = 49.268857044879
Error sum for iteration 5300 = 49.276348325717
Error sum for iteration 5400 = 49.27881700703602
Error sum for iteration 5500 = 49.27921292411658
Error sum for iteration 5600 = 49.277974759335166
Error sum for iteration 5700 = 49.27525287888658
Error sum for iteration 5800 = 49.26960230734482
Error sum for iteration 5900 = 49.2673183521265
Error sum for iteration 6000 = 49.266086554933636
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0223
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.41828090426744
Error sum for iteration 200 = 52.204812238495585
Error sum for iteration 300 = 51.16482357652884
Error sum for iteration 400 = 51.01609525536138
Error sum for iteration 500 = 51.10325704644949
Error sum for iteration 600 = 51.159321256628864
Error sum for iteration 700 = 50.869078337263495
Error sum for iteration 800 = 50.27410003481493
Error sum for iteration 900 = 49.60425498955818
Error sum for iteration 1000 = 48.959114050131184
Error sum for iteration 1100 = 48.374348338031886
Error sum for iteration 1200 = 47.85054913237032
Error sum for iteration 1300 = 47.38696746489231
Error sum for iteration 1400 = 46.981552932585544
Error sum for iteration 1500 = 46.63547237238997
Error sum for iteration 1600 = 46.347211635864426
Error sum for iteration 1700 = 46.11824358443799
Error sum for iteration 1800 = 45.94784293231327
Error sum for iteration 1900 = 45.832125801991104
Error sum for iteration 2000 = 45.757259245613184
Error sum for iteration 2100 = 45.691226838474954
Error sum for iteration 2200 = 45.598754150484716
Error sum for iteration 2300 = 45.47606943267376
Error sum for iteration 2400 = 45.35580277501657
Error sum for iteration 2500 = 45.27782642616053
Error sum for iteration 2600 = 45.26340024331253
Error sum for iteration 2700 = 45.29813890141282
Error sum for iteration 2800 = 45.331806786099605
Error sum for iteration 2900 = 45.31673755300347
Error sum for iteration 3000 = 45.25128864152167
Error sum for iteration 3100 = 45.16431417338208
Error sum for iteration 3200 = 45.07749862917887
Error sum for iteration 3300 = 44.98236921678492
Error sum for iteration 3400 = 44.86774405602423
Error sum for iteration 3500 = 44.73603469130229
Error sum for iteration 3600 = 44.593403507390676
Error sum for iteration 3700 = 44.45288332146887
Error sum for iteration 3800 = 44.35291103376483
Error sum for iteration 3900 = 44.372784203061904
Error sum for iteration 4000 = 44.54030412158338
Error sum for iteration 4100 = 44.54464378115619
Error sum for iteration 4200 = 44.22506823462961
Error sum for iteration 4300 = 43.68542425106484
Error sum for iteration 4400 = 43.021038379606225
Error sum for iteration 4500 = 42.29663976193624
Error sum for iteration 4600 = 41.559321085016336
Error sum for iteration 4700 = 40.841625552503615
Error sum for iteration 4800 = 40.15665154635317
Error sum for iteration 4900 = 39.51698440659055
Error sum for iteration 5000 = 38.926386403657965
Error sum for iteration 5100 = 38.381849459897
Error sum for iteration 5200 = 37.8800553135721
Error sum for iteration 5300 = 37.4162630898768
Error sum for iteration 5400 = 36.9834931693346
Error sum for iteration 5500 = 36.576995566133505
Error sum for iteration 5600 = 36.19507829651183
Error sum for iteration 5700 = 35.833320193357565
Error sum for iteration 5800 = 35.49035368795063
Error sum for iteration 5900 = 35.16454266435231
Error sum for iteration 6000 = 34.85629167046838
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0334
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.1385968944404
Error sum for iteration 200 = 52.980504076914634
Error sum for iteration 300 = 51.97346774519526
Error sum for iteration 400 = 52.098870229616786
Error sum for iteration 500 = 51.97109508553936
Error sum for iteration 600 = 51.53490329933367
Error sum for iteration 700 = 50.94743353640052
Error sum for iteration 800 = 50.28119051271576
Error sum for iteration 900 = 49.58862819494155
Error sum for iteration 1000 = 48.90393086041382
Error sum for iteration 1100 = 48.262892656117415
Error sum for iteration 1200 = 47.66671289069775
Error sum for iteration 1300 = 47.09383191008681
Error sum for iteration 1400 = 46.5186954901178
Error sum for iteration 1500 = 45.91069575181119
Error sum for iteration 1600 = 45.276404514001285
Error sum for iteration 1700 = 44.603010964438155
Error sum for iteration 1800 = 43.89507216168869
Error sum for iteration 1900 = 43.16302573129145
Error sum for iteration 2000 = 42.41671597397986
Error sum for iteration 2100 = 41.66991657930327
Error sum for iteration 2200 = 40.937163683022895
Error sum for iteration 2300 = 40.22713468402751
Error sum for iteration 2400 = 39.55175151452683
Error sum for iteration 2500 = 38.934120888565204
Error sum for iteration 2600 = 38.389882717048096
Error sum for iteration 2700 = 37.90373986001812
Error sum for iteration 2800 = 37.44889050704347
Error sum for iteration 2900 = 36.97925244511526
Error sum for iteration 3000 = 36.458815887443976
Error sum for iteration 3100 = 35.89518043265826
Error sum for iteration 3200 = 35.3128825307687
Error sum for iteration 3300 = 34.72955576389248
Error sum for iteration 3400 = 34.152833039723184
Error sum for iteration 3500 = 33.58755712019078
Error sum for iteration 3600 = 33.03940128058189
Error sum for iteration 3700 = 32.50617818057343
Error sum for iteration 3800 = 31.98994397933611
Error sum for iteration 3900 = 31.4910457911691
Error sum for iteration 4000 = 31.010549277963097
Error sum for iteration 4100 = 30.5505955030102
Error sum for iteration 4200 = 30.107790713242107
Error sum for iteration 4300 = 29.68055105216104
Error sum for iteration 4400 = 29.268564899858948
Error sum for iteration 4500 = 28.871370722568038
Error sum for iteration 4600 = 28.486024895815852
Error sum for iteration 4700 = 28.11187027015239
Error sum for iteration 4800 = 27.748148348467105
Error sum for iteration 4900 = 27.39439079853499
Error sum for iteration 5000 = 27.05482302721203
Error sum for iteration 5100 = 26.728178087831385
Error sum for iteration 5200 = 26.410213551653776
Error sum for iteration 5300 = 26.10062366394804
Error sum for iteration 5400 = 25.79988494701146
Error sum for iteration 5500 = 25.5079026129046
Error sum for iteration 5600 = 25.22330920762117
Error sum for iteration 5700 = 24.945974612054957
Error sum for iteration 5800 = 24.67547986349068
Error sum for iteration 5900 = 24.412339572298908
Error sum for iteration 6000 = 24.160493129586733
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0334
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.661377694283736
Error sum for iteration 200 = 51.52000673464115
Error sum for iteration 300 = 50.01350581901871
Error sum for iteration 400 = 48.961837336610024
Error sum for iteration 500 = 48.13103045488599
Error sum for iteration 600 = 47.80088024555279
Error sum for iteration 700 = 47.816530788187656
Error sum for iteration 800 = 47.983027626806205
Error sum for iteration 900 = 48.15067323196524
Error sum for iteration 1000 = 48.28422638680176
Error sum for iteration 1100 = 48.37247900256733
Error sum for iteration 1200 = 48.41000271020616
Error sum for iteration 1300 = 48.40178544399931
Error sum for iteration 1400 = 48.368924693786845
Error sum for iteration 1500 = 48.33908880019959
Error sum for iteration 1600 = 48.32666302428125
Error sum for iteration 1700 = 48.296515430203094
Error sum for iteration 1800 = 48.143333109789516
Error sum for iteration 1900 = 47.85899501318898
Error sum for iteration 2000 = 47.52195096188705
Error sum for iteration 2100 = 47.18244396506509
Error sum for iteration 2200 = 46.853840237604956
Error sum for iteration 2300 = 46.536292874695874
Error sum for iteration 2400 = 46.22471587307382
Error sum for iteration 2500 = 45.91494506942646
Error sum for iteration 2600 = 45.59765484872663
Error sum for iteration 2700 = 45.26483288129201
Error sum for iteration 2800 = 44.9154259320017
Error sum for iteration 2900 = 44.54643254688565
Error sum for iteration 3000 = 44.15697004655624
Error sum for iteration 3100 = 43.74851219639192
Error sum for iteration 3200 = 43.32230983857849
Error sum for iteration 3300 = 42.877618257357206
Error sum for iteration 3400 = 42.41279614293461
Error sum for iteration 3500 = 41.92634318934142
Error sum for iteration 3600 = 41.42019967465337
Error sum for iteration 3700 = 40.89496033371795
Error sum for iteration 3800 = 40.35403928953765
Error sum for iteration 3900 = 39.80314109817094
Error sum for iteration 4000 = 39.250035601194654
Error sum for iteration 4100 = 38.69836169335675
Error sum for iteration 4200 = 38.15018043520576
Error sum for iteration 4300 = 37.60938184934694
Error sum for iteration 4400 = 37.08498319724357
Error sum for iteration 4500 = 36.574579758811346
Error sum for iteration 4600 = 36.0773561178887
Error sum for iteration 4700 = 35.59291330459847
Error sum for iteration 4800 = 35.11884858176719
Error sum for iteration 4900 = 34.645900912612426
Error sum for iteration 5000 = 34.16752682503517
Error sum for iteration 5100 = 33.67762796008433
Error sum for iteration 5200 = 33.17313271679442
Error sum for iteration 5300 = 32.660881036775784
Error sum for iteration 5400 = 32.150153553725296
Error sum for iteration 5500 = 31.65096095972462
Error sum for iteration 5600 = 31.17268411323359
Error sum for iteration 5700 = 30.72226878609199
Error sum for iteration 5800 = 30.306516899625233
Error sum for iteration 5900 = 29.92392052498746
Error sum for iteration 6000 = 29.572645921393406
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0334
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.0837895031136
Error sum for iteration 200 = 53.34629086678943
Error sum for iteration 300 = 51.91966799000329
Error sum for iteration 400 = 51.53023309444057
Error sum for iteration 500 = 51.71681798098167
Error sum for iteration 600 = 52.022224943825044
Error sum for iteration 700 = 52.28648499827829
Error sum for iteration 800 = 52.47051761419381
Error sum for iteration 900 = 52.56268350358023
Error sum for iteration 1000 = 52.5663818762084
Error sum for iteration 1100 = 52.49801304831576
Error sum for iteration 1200 = 52.36978189130198
Error sum for iteration 1300 = 52.19551569895451
Error sum for iteration 1400 = 51.9808370002307
Error sum for iteration 1500 = 51.73296310761536
Error sum for iteration 1600 = 51.47639258454595
Error sum for iteration 1700 = 51.218898342850935
Error sum for iteration 1800 = 50.97086269184401
Error sum for iteration 1900 = 50.739870828845035
Error sum for iteration 2000 = 50.5293635988409
Error sum for iteration 2100 = 50.343588423360515
Error sum for iteration 2200 = 50.179567818162816
Error sum for iteration 2300 = 50.03859286932714
Error sum for iteration 2400 = 49.92342161880139
Error sum for iteration 2500 = 49.838459654224025
Error sum for iteration 2600 = 49.75428676699903
Error sum for iteration 2700 = 49.658066228029995
Error sum for iteration 2800 = 49.52445733601632
Error sum for iteration 2900 = 49.35711427314677
Error sum for iteration 3000 = 49.17193879033793
Error sum for iteration 3100 = 48.984980010341424
Error sum for iteration 3200 = 48.80478238742688
Error sum for iteration 3300 = 48.64763064053887
Error sum for iteration 3400 = 48.521694351230494
Error sum for iteration 3500 = 48.433360776123926
Error sum for iteration 3600 = 48.385977834857975
Error sum for iteration 3700 = 48.37858728429703
Error sum for iteration 3800 = 48.41373635910562
Error sum for iteration 3900 = 48.48665200403114
Error sum for iteration 4000 = 48.587579131634676
Error sum for iteration 4100 = 48.7050937878723
Error sum for iteration 4200 = 48.81791964218855
Error sum for iteration 4300 = 48.915291860113385
Error sum for iteration 4400 = 48.992116358667765
Error sum for iteration 4500 = 49.048038446458634
Error sum for iteration 4600 = 49.095817938495244
Error sum for iteration 4700 = 49.13374989530206
Error sum for iteration 4800 = 49.168405278569395
Error sum for iteration 4900 = 49.193212597238166
Error sum for iteration 5000 = 49.2098435785254
Error sum for iteration 5100 = 49.218456301774275
Error sum for iteration 5200 = 49.22792886795341
Error sum for iteration 5300 = 49.231667319765855
Error sum for iteration 5400 = 49.23411452446963
Error sum for iteration 5500 = 49.2325153144412
Error sum for iteration 5600 = 49.23131099345692
Error sum for iteration 5700 = 49.22651253630645
Error sum for iteration 5800 = 49.22308588991407
Error sum for iteration 5900 = 49.222193795672794
Error sum for iteration 6000 = 49.22276137194576
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0334
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.39795957812575
Error sum for iteration 200 = 52.175515821464636
Error sum for iteration 300 = 51.14779022703065
Error sum for iteration 400 = 51.01930466322855
Error sum for iteration 500 = 51.110615664666504
Error sum for iteration 600 = 51.1518551179484
Error sum for iteration 700 = 50.82763970810339
Error sum for iteration 800 = 50.211279393081355
Error sum for iteration 900 = 49.531297048945405
Error sum for iteration 1000 = 48.88462839268958
Error sum for iteration 1100 = 48.299376482201225
Error sum for iteration 1200 = 47.77705443405383
Error sum for iteration 1300 = 47.31593290977122
Error sum for iteration 1400 = 46.91419013969588
Error sum for iteration 1500 = 46.57337878205785
Error sum for iteration 1600 = 46.29119326434638
Error sum for iteration 1700 = 46.070221232217236
Error sum for iteration 1800 = 45.908542191647435
Error sum for iteration 1900 = 45.80139142037839
Error sum for iteration 2000 = 45.731261780167415
Error sum for iteration 2100 = 45.66224911120521
Error sum for iteration 2200 = 45.56216045887517
Error sum for iteration 2300 = 45.436793475621776
Error sum for iteration 2400 = 45.32483698210096
Error sum for iteration 2500 = 45.264792743528005
Error sum for iteration 2600 = 45.269208222954624
Error sum for iteration 2700 = 45.31045851752951
Error sum for iteration 2800 = 45.33112161053641
Error sum for iteration 2900 = 45.29588860405634
Error sum for iteration 3000 = 45.21724235596372
Error sum for iteration 3100 = 45.12827949344756
Error sum for iteration 3200 = 45.03848275016031
Error sum for iteration 3300 = 44.93406501831653
Error sum for iteration 3400 = 44.809715742766414
Error sum for iteration 3500 = 44.67040060372777
Error sum for iteration 3600 = 44.523641824906946
Error sum for iteration 3700 = 44.39169512199309
Error sum for iteration 3800 = 44.33161390006258
Error sum for iteration 3900 = 44.43498191488174
Error sum for iteration 4000 = 44.578279091954066
Error sum for iteration 4100 = 44.415521236649944
Error sum for iteration 4200 = 43.970623285237245
Error sum for iteration 4300 = 43.34955276441866
Error sum for iteration 4400 = 42.64128139734296
Error sum for iteration 4500 = 41.8959377716606
Error sum for iteration 4600 = 41.159750691386286
Error sum for iteration 4700 = 40.450073538574806
Error sum for iteration 4800 = 39.782632977570564
Error sum for iteration 4900 = 39.164195056948195
Error sum for iteration 5000 = 38.59417941446088
Error sum for iteration 5100 = 38.07041003983885
Error sum for iteration 5200 = 37.58643466452919
Error sum for iteration 5300 = 37.13812973708407
Error sum for iteration 5400 = 36.71730858807608
Error sum for iteration 5500 = 36.322892911814726
Error sum for iteration 5600 = 35.95040894665393
Error sum for iteration 5700 = 35.59741356908694
Error sum for iteration 5800 = 35.262347039842396
Error sum for iteration 5900 = 34.94440231192822
Error sum for iteration 6000 = 34.64617209558487
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.102072809491744
Error sum for iteration 200 = 52.92766381544155
Error sum for iteration 300 = 51.9720095478938
Error sum for iteration 400 = 52.09980245944197
Error sum for iteration 500 = 51.9495703201455
Error sum for iteration 600 = 51.494349630385166
Error sum for iteration 700 = 50.891803703701505
Error sum for iteration 800 = 50.21313569586844
Error sum for iteration 900 = 49.511134635594736
Error sum for iteration 1000 = 48.82192442792333
Error sum for iteration 1100 = 48.17973866424518
Error sum for iteration 1200 = 47.58141882335108
Error sum for iteration 1300 = 47.003318951615285
Error sum for iteration 1400 = 46.41659352702473
Error sum for iteration 1500 = 45.79590194570806
Error sum for iteration 1600 = 45.1481665753985
Error sum for iteration 1700 = 44.45904600031647
Error sum for iteration 1800 = 43.73724341689957
Error sum for iteration 1900 = 42.99250074112734
Error sum for iteration 2000 = 42.23610652004184
Error sum for iteration 2100 = 41.48315528975511
Error sum for iteration 2200 = 40.74712635475338
Error sum for iteration 2300 = 40.037622518659575
Error sum for iteration 2400 = 39.36769533061777
Error sum for iteration 2500 = 38.76725916429701
Error sum for iteration 2600 = 38.23509859343368
Error sum for iteration 2700 = 37.75828497233661
Error sum for iteration 2800 = 37.298741277486606
Error sum for iteration 2900 = 36.808946561838276
Error sum for iteration 3000 = 36.264475494486156
Error sum for iteration 3100 = 35.68508251796249
Error sum for iteration 3200 = 35.094359638093
Error sum for iteration 3300 = 34.50637103025012
Error sum for iteration 3400 = 33.92713884433783
Error sum for iteration 3500 = 33.362674475797064
Error sum for iteration 3600 = 32.814509471613086
Error sum for iteration 3700 = 32.28220313042692
Error sum for iteration 3800 = 31.768255921159845
Error sum for iteration 3900 = 31.271709082184593
Error sum for iteration 4000 = 30.795460464517877
Error sum for iteration 4100 = 30.33852188522541
Error sum for iteration 4200 = 29.899149807369934
Error sum for iteration 4300 = 29.47424570991037
Error sum for iteration 4400 = 29.065995845009493
Error sum for iteration 4500 = 28.670734098037382
Error sum for iteration 4600 = 28.28731393901288
Error sum for iteration 4700 = 27.914903029956918
Error sum for iteration 4800 = 27.5528107914882
Error sum for iteration 4900 = 27.20263037038472
Error sum for iteration 5000 = 26.867212759336443
Error sum for iteration 5100 = 26.54214504485387
Error sum for iteration 5200 = 26.22578488691704
Error sum for iteration 5300 = 25.917877750075633
Error sum for iteration 5400 = 25.619755205892567
Error sum for iteration 5500 = 25.329297892480916
Error sum for iteration 5600 = 25.046282686752168
Error sum for iteration 5700 = 24.77044479606869
Error sum for iteration 5800 = 24.50141436385252
Error sum for iteration 5900 = 24.243333551463977
Error sum for iteration 6000 = 23.992919279788694
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.64431941096292
Error sum for iteration 200 = 51.46534293729996
Error sum for iteration 300 = 49.97914530221685
Error sum for iteration 400 = 48.9118930426151
Error sum for iteration 500 = 48.09648223696353
Error sum for iteration 600 = 47.78843767917262
Error sum for iteration 700 = 47.820874957071915
Error sum for iteration 800 = 47.993615809062916
Error sum for iteration 900 = 48.16029980743405
Error sum for iteration 1000 = 48.29076062951611
Error sum for iteration 1100 = 48.37349418108084
Error sum for iteration 1200 = 48.40402106044249
Error sum for iteration 1300 = 48.38966270290334
Error sum for iteration 1400 = 48.35359725290882
Error sum for iteration 1500 = 48.324480565229855
Error sum for iteration 1600 = 48.312380012168106
Error sum for iteration 1700 = 48.26837908264569
Error sum for iteration 1800 = 48.086156231877055
Error sum for iteration 1900 = 47.78270900298612
Error sum for iteration 2000 = 47.43820241968545
Error sum for iteration 2100 = 47.09590545197841
Error sum for iteration 2200 = 46.765197403476215
Error sum for iteration 2300 = 46.44504583892426
Error sum for iteration 2400 = 46.12982713504422
Error sum for iteration 2500 = 45.814730272045914
Error sum for iteration 2600 = 45.48961753057118
Error sum for iteration 2700 = 45.1478959242249
Error sum for iteration 2800 = 44.78824647446632
Error sum for iteration 2900 = 44.40814225641945
Error sum for iteration 3000 = 44.007400395449636
Error sum for iteration 3100 = 43.58759899747541
Error sum for iteration 3200 = 43.14983741451721
Error sum for iteration 3300 = 42.692355535860756
Error sum for iteration 3400 = 42.213653306512704
Error sum for iteration 3500 = 41.7135323023681
Error sum for iteration 3600 = 41.193424314100206
Error sum for iteration 3700 = 40.65470102398238
Error sum for iteration 3800 = 40.102713970979536
Error sum for iteration 3900 = 39.54319417192859
Error sum for iteration 4000 = 38.98441708633682
Error sum for iteration 4100 = 38.42775002798591
Error sum for iteration 4200 = 37.876319655513974
Error sum for iteration 4300 = 37.336847095118365
Error sum for iteration 4400 = 36.81365055897086
Error sum for iteration 4500 = 36.30465722300633
Error sum for iteration 4600 = 35.8091082771546
Error sum for iteration 4700 = 35.32672051592465
Error sum for iteration 4800 = 34.849604023585854
Error sum for iteration 4900 = 34.37039725772747
Error sum for iteration 5000 = 33.88163800479734
Error sum for iteration 5100 = 33.37848835238292
Error sum for iteration 5200 = 32.862394300773126
Error sum for iteration 5300 = 32.34330986697117
Error sum for iteration 5400 = 31.833159950003413
Error sum for iteration 5500 = 31.33974716409364
Error sum for iteration 5600 = 30.87289595261188
Error sum for iteration 5700 = 30.439307768328238
Error sum for iteration 5800 = 30.041164424646023
Error sum for iteration 5900 = 29.675270697022224
Error sum for iteration 6000 = 29.341521786324545
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.05744871040805
Error sum for iteration 200 = 53.31107366810009
Error sum for iteration 300 = 51.887327843929725
Error sum for iteration 400 = 51.53205729123184
Error sum for iteration 500 = 51.732626951947374
Error sum for iteration 600 = 52.04120308013098
Error sum for iteration 700 = 52.302190193678925
Error sum for iteration 800 = 52.479457494446656
Error sum for iteration 900 = 52.562063486932395
Error sum for iteration 1000 = 52.55677162500517
Error sum for iteration 1100 = 52.478068481181964
Error sum for iteration 1200 = 52.34256217607854
Error sum for iteration 1300 = 52.15834506125054
Error sum for iteration 1400 = 51.935391978847036
Error sum for iteration 1500 = 51.68169555498902
Error sum for iteration 1600 = 51.42130268794394
Error sum for iteration 1700 = 51.16084809310986
Error sum for iteration 1800 = 50.91223328336796
Error sum for iteration 1900 = 50.68254180518033
Error sum for iteration 2000 = 50.474403252287935
Error sum for iteration 2100 = 50.291863686030815
Error sum for iteration 2200 = 50.13139460866399
Error sum for iteration 2300 = 49.993944775692476
Error sum for iteration 2400 = 49.88739152448149
Error sum for iteration 2500 = 49.80279017942799
Error sum for iteration 2600 = 49.715659182017376
Error sum for iteration 2700 = 49.6074398272956
Error sum for iteration 2800 = 49.457892805538854
Error sum for iteration 2900 = 49.27937625096854
Error sum for iteration 3000 = 49.088213711278165
Error sum for iteration 3100 = 48.89920881016926
Error sum for iteration 3200 = 48.72116021394239
Error sum for iteration 3300 = 48.572092858589215
Error sum for iteration 3400 = 48.454941465767135
Error sum for iteration 3500 = 48.37942636967161
Error sum for iteration 3600 = 48.34570252905086
Error sum for iteration 3700 = 48.353346852799014
Error sum for iteration 3800 = 48.40381543442828
Error sum for iteration 3900 = 48.489756864728584
Error sum for iteration 4000 = 48.60008749299659
Error sum for iteration 4100 = 48.71672899634087
Error sum for iteration 4200 = 48.82407602245193
Error sum for iteration 4300 = 48.912747142516935
Error sum for iteration 4400 = 48.97843174232754
Error sum for iteration 4500 = 49.029447248534325
Error sum for iteration 4600 = 49.06922474592112
Error sum for iteration 4700 = 49.10600144450801
Error sum for iteration 4800 = 49.13586115542958
Error sum for iteration 4900 = 49.15582246167014
Error sum for iteration 5000 = 49.167101882634576
Error sum for iteration 5100 = 49.17637241725494
Error sum for iteration 5200 = 49.183009041305844
Error sum for iteration 5300 = 49.18627346633153
Error sum for iteration 5400 = 49.185966865123056
Error sum for iteration 5500 = 49.18489565854581
Error sum for iteration 5600 = 49.18171943178203
Error sum for iteration 5700 = 49.1772395649846
Error sum for iteration 5800 = 49.17669510035583
Error sum for iteration 5900 = 49.17633305459738
Error sum for iteration 6000 = 49.17976602211014
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.37779217056743
Error sum for iteration 200 = 52.14544346014655
Error sum for iteration 300 = 51.13165573440944
Error sum for iteration 400 = 51.02271132210889
Error sum for iteration 500 = 51.117835969070974
Error sum for iteration 600 = 51.141988693886276
Error sum for iteration 700 = 50.78305524855584
Error sum for iteration 800 = 50.14611707610561
Error sum for iteration 900 = 49.45707007108405
Error sum for iteration 1000 = 48.80881528311946
Error sum for iteration 1100 = 48.223426931619855
Error sum for iteration 1200 = 47.70278669949726
Error sum for iteration 1300 = 47.24436628884512
Error sum for iteration 1400 = 46.846551860269386
Error sum for iteration 1500 = 46.51130169001945
Error sum for iteration 1600 = 46.235562892953546
Error sum for iteration 1700 = 46.02302214654269
Error sum for iteration 1800 = 45.87039881667353
Error sum for iteration 1900 = 45.771675140462854
Error sum for iteration 2000 = 45.7051027490513
Error sum for iteration 2100 = 45.63155181840191
Error sum for iteration 2200 = 45.52409420448135
Error sum for iteration 2300 = 45.39864422466842
Error sum for iteration 2400 = 45.29829832786695
Error sum for iteration 2500 = 45.257949349427626
Error sum for iteration 2600 = 45.279157347860874
Error sum for iteration 2700 = 45.320555373172226
Error sum for iteration 2800 = 45.32315896406324
Error sum for iteration 2900 = 45.26855166059999
Error sum for iteration 3000 = 45.18096111098835
Error sum for iteration 3100 = 45.09082252330239
Error sum for iteration 3200 = 44.99549793843656
Error sum for iteration 3300 = 44.88069573119863
Error sum for iteration 3400 = 44.747085910450195
Error sum for iteration 3500 = 44.600987083188684
Error sum for iteration 3600 = 44.453887869212494
Error sum for iteration 3700 = 44.34289533592157
Error sum for iteration 3800 = 44.3472737947735
Error sum for iteration 3900 = 44.51283003788515
Error sum for iteration 4000 = 44.53327522859935
Error sum for iteration 4100 = 44.21411104527701
Error sum for iteration 4200 = 43.66470668770731
Error sum for iteration 4300 = 42.984888375743886
Error sum for iteration 4400 = 42.24339724004271
Error sum for iteration 4500 = 41.49028136640497
Error sum for iteration 4600 = 40.75887164179224
Error sum for iteration 4700 = 40.06322544022585
Error sum for iteration 4800 = 39.415756115366165
Error sum for iteration 4900 = 38.819245069089526
Error sum for iteration 5000 = 38.271056216777886
Error sum for iteration 5100 = 37.766270424068
Error sum for iteration 5200 = 37.30015889845149
Error sum for iteration 5300 = 36.8646375470354
Error sum for iteration 5400 = 36.456231178148464
Error sum for iteration 5500 = 36.07238855435012
Error sum for iteration 5600 = 35.70886753341659
Error sum for iteration 5700 = 35.364313041553125
Error sum for iteration 5800 = 35.03709565393764
Error sum for iteration 5900 = 34.72987734385947
Error sum for iteration 6000 = 34.43732340535583
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0556
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.06422856241949
Error sum for iteration 200 = 52.8751057196384
Error sum for iteration 300 = 51.97146355942948
Error sum for iteration 400 = 52.0998421460762
Error sum for iteration 500 = 51.92630108584366
Error sum for iteration 600 = 51.45213044765306
Error sum for iteration 700 = 50.834211250349455
Error sum for iteration 800 = 50.14311994345995
Error sum for iteration 900 = 49.43190024512917
Error sum for iteration 1000 = 48.73867895407039
Error sum for iteration 1100 = 48.09524927831532
Error sum for iteration 1200 = 47.494312675467604
Error sum for iteration 1300 = 46.91020265726363
Error sum for iteration 1400 = 46.31085309882323
Error sum for iteration 1500 = 45.67846007708899
Error sum for iteration 1600 = 45.01536290604093
Error sum for iteration 1700 = 44.31029028116107
Error sum for iteration 1800 = 43.5746215681624
Error sum for iteration 1900 = 42.817431004617724
Error sum for iteration 2000 = 42.051599032259126
Error sum for iteration 2100 = 41.293550965650766
Error sum for iteration 2200 = 40.55477486412891
Error sum for iteration 2300 = 39.846864482266454
Error sum for iteration 2400 = 39.18555276183798
Error sum for iteration 2500 = 38.60200361586379
Error sum for iteration 2600 = 38.08345720370784
Error sum for iteration 2700 = 37.61228849314045
Error sum for iteration 2800 = 37.142334128262895
Error sum for iteration 2900 = 36.62768185000466
Error sum for iteration 3000 = 36.061188130558925
Error sum for iteration 3100 = 35.468678535922336
Error sum for iteration 3200 = 34.87132760042744
Error sum for iteration 3300 = 34.27959335463438
Error sum for iteration 3400 = 33.69838155339064
Error sum for iteration 3500 = 33.135159086924396
Error sum for iteration 3600 = 32.587400004169915
Error sum for iteration 3700 = 32.05717422749398
Error sum for iteration 3800 = 31.54506185018677
Error sum for iteration 3900 = 31.051779019855967
Error sum for iteration 4000 = 30.57986532692851
Error sum for iteration 4100 = 30.12643195605537
Error sum for iteration 4200 = 29.68936224486533
Error sum for iteration 4300 = 29.267892775896318
Error sum for iteration 4400 = 28.862248181297087
Error sum for iteration 4500 = 28.46899401455649
Error sum for iteration 4600 = 28.08742820686785
Error sum for iteration 4700 = 27.716709314536935
Error sum for iteration 4800 = 27.35654843657149
Error sum for iteration 4900 = 27.010918904690698
Error sum for iteration 5000 = 26.678491544758398
Error sum for iteration 5100 = 26.355074172091765
Error sum for iteration 5200 = 26.040329426727837
Error sum for iteration 5300 = 25.735202710541945
Error sum for iteration 5400 = 25.438646536082732
Error sum for iteration 5500 = 25.14973604170597
Error sum for iteration 5600 = 24.868342399706655
Error sum for iteration 5700 = 24.593999398037525
Error sum for iteration 5800 = 24.328700847304074
Error sum for iteration 5900 = 24.073532740821125
Error sum for iteration 6000 = 23.82525204390127
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0556
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.627171980465384
Error sum for iteration 200 = 51.4104874238172
Error sum for iteration 300 = 49.94408136363198
Error sum for iteration 400 = 48.86129000310073
Error sum for iteration 500 = 48.06275353375189
Error sum for iteration 600 = 47.77707371594266
Error sum for iteration 700 = 47.82616115102335
Error sum for iteration 800 = 48.004228819626164
Error sum for iteration 900 = 48.16978060504917
Error sum for iteration 1000 = 48.29671564211132
Error sum for iteration 1100 = 48.37343629033028
Error sum for iteration 1200 = 48.39658312146664
Error sum for iteration 1300 = 48.37633389294251
Error sum for iteration 1400 = 48.33776343874342
Error sum for iteration 1500 = 48.30962643139965
Error sum for iteration 1600 = 48.29712483512866
Error sum for iteration 1700 = 48.23507557315749
Error sum for iteration 1800 = 48.023717885823494
Error sum for iteration 1900 = 47.70288662974354
Error sum for iteration 2000 = 47.3523025613724
Error sum for iteration 2100 = 47.00736846469357
Error sum for iteration 2200 = 46.674337678582084
Error sum for iteration 2300 = 46.351314308987064
Error sum for iteration 2400 = 46.032513122527455
Error sum for iteration 2500 = 45.71131174663723
Error sum for iteration 2600 = 45.37736818146584
Error sum for iteration 2700 = 45.02631029083732
Error sum for iteration 2800 = 44.6560067566135
Error sum for iteration 2900 = 44.26429692447758
Error sum for iteration 3000 = 43.85199345917963
Error sum for iteration 3100 = 43.42030518056881
Error sum for iteration 3200 = 42.97041537129709
Error sum for iteration 3300 = 42.49959806353301
Error sum for iteration 3400 = 42.00649008218551
Error sum for iteration 3500 = 41.49234075745057
Error sum for iteration 3600 = 40.958218059234454
Error sum for iteration 3700 = 40.406767847050546
Error sum for iteration 3800 = 39.844276906079685
Error sum for iteration 3900 = 39.277896067563574
Error sum for iteration 4000 = 38.71329664422321
Error sum for iteration 4100 = 38.152206739020095
Error sum for iteration 4200 = 37.598613651549805
Error sum for iteration 4300 = 37.06176898703904
Error sum for iteration 4400 = 36.5401016961091
Error sum for iteration 4500 = 36.03275160835264
Error sum for iteration 4600 = 35.53933877748337
Error sum for iteration 4700 = 35.05666880383936
Error sum for iteration 4800 = 34.57491771617974
Error sum for iteration 4900 = 34.08689063233821
Error sum for iteration 5000 = 33.585637730443736
Error sum for iteration 5100 = 33.067979052213964
Error sum for iteration 5200 = 32.54373431707383
Error sum for iteration 5300 = 32.022849727155574
Error sum for iteration 5400 = 31.51508822006404
Error sum for iteration 5500 = 31.031740474506776
Error sum for iteration 5600 = 30.579920696896234
Error sum for iteration 5700 = 30.16513240562554
Error sum for iteration 5800 = 29.784263510415666
Error sum for iteration 5900 = 29.43599060111435
Error sum for iteration 6000 = 29.11979705977161
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0556
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.030719413166224
Error sum for iteration 200 = 53.27485537517101
Error sum for iteration 300 = 51.855720444411375
Error sum for iteration 400 = 51.534929051616864
Error sum for iteration 500 = 51.749097796142706
Error sum for iteration 600 = 52.060187315384
Error sum for iteration 700 = 52.317462164973406
Error sum for iteration 800 = 52.48761670089578
Error sum for iteration 900 = 52.56022357342257
Error sum for iteration 1000 = 52.54566303122596
Error sum for iteration 1100 = 52.45677003442208
Error sum for iteration 1200 = 52.31332444451321
Error sum for iteration 1300 = 52.11982448385167
Error sum for iteration 1400 = 51.887872715649316
Error sum for iteration 1500 = 51.62871095815089
Error sum for iteration 1600 = 51.36457172558931
Error sum for iteration 1700 = 51.10206870689959
Error sum for iteration 1800 = 50.85310433567905
Error sum for iteration 1900 = 50.62501420547067
Error sum for iteration 2000 = 50.4198763370358
Error sum for iteration 2100 = 50.24000937013319
Error sum for iteration 2200 = 50.083367549556684
Error sum for iteration 2300 = 49.95152114155024
Error sum for iteration 2400 = 49.85228200369545
Error sum for iteration 2500 = 49.76566725138617
Error sum for iteration 2600 = 49.67353192133263
Error sum for iteration 2700 = 49.54998296140799
Error sum for iteration 2800 = 49.38593247949561
Error sum for iteration 2900 = 49.19751902540241
Error sum for iteration 3000 = 49.00212490576296
Error sum for iteration 3100 = 48.811431954047585
Error sum for iteration 3200 = 48.63817184275296
Error sum for iteration 3300 = 48.4972381620516
Error sum for iteration 3400 = 48.39159123198681
Error sum for iteration 3500 = 48.32875913683166
Error sum for iteration 3600 = 48.30901960730019
Error sum for iteration 3700 = 48.33330369037298
Error sum for iteration 3800 = 48.39827832800758
Error sum for iteration 3900 = 48.495427309937796
Error sum for iteration 4000 = 48.612270669400054
Error sum for iteration 4100 = 48.726372592100326
Error sum for iteration 4200 = 48.82544797299017
Error sum for iteration 4300 = 48.90337466350427
Error sum for iteration 4400 = 48.958538515247824
Error sum for iteration 4500 = 49.004722745804706
Error sum for iteration 4600 = 49.041242546634614
Error sum for iteration 4700 = 49.07536380947858
Error sum for iteration 4800 = 49.09886400064603
Error sum for iteration 4900 = 49.11395805483404
Error sum for iteration 5000 = 49.12254670085118
Error sum for iteration 5100 = 49.13169380461179
Error sum for iteration 5200 = 49.136085389974106
Error sum for iteration 5300 = 49.13794808660672
Error sum for iteration 5400 = 49.136298173344414
Error sum for iteration 5500 = 49.134802433425364
Error sum for iteration 5600 = 49.13088899293926
Error sum for iteration 5700 = 49.12932240086864
Error sum for iteration 5800 = 49.12901407496945
Error sum for iteration 5900 = 49.13163964468313
Error sum for iteration 6000 = 49.136320778896966
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0556
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.35778385225332
Error sum for iteration 200 = 52.114585973926495
Error sum for iteration 300 = 51.116453063266896
Error sum for iteration 400 = 51.02638117505424
Error sum for iteration 500 = 51.124802746940446
Error sum for iteration 600 = 51.12946104260018
Error sum for iteration 700 = 50.73528277200196
Error sum for iteration 800 = 50.07861192500652
Error sum for iteration 900 = 49.381756014021896
Error sum for iteration 1000 = 48.73168219128814
Error sum for iteration 1100 = 48.14654950870453
Error sum for iteration 1200 = 47.62775812178942
Error sum for iteration 1300 = 47.17228605079997
Error sum for iteration 1400 = 46.77867744336511
Error sum for iteration 1500 = 46.44929210782115
Error sum for iteration 1600 = 46.180673500398825
Error sum for iteration 1700 = 45.97674432418833
Error sum for iteration 1800 = 45.83349134705372
Error sum for iteration 1900 = 45.7428710447224
Error sum for iteration 2000 = 45.67844400024099
Error sum for iteration 2100 = 45.598969633777806
Error sum for iteration 2200 = 45.484950295721404
Error sum for iteration 2300 = 45.36251947434794
Error sum for iteration 2400 = 45.27705315380507
Error sum for iteration 2500 = 45.257298649966124
Error sum for iteration 2600 = 45.29162668593213
Error sum for iteration 2700 = 45.32595846724545
Error sum for iteration 2800 = 45.30749736158955
Error sum for iteration 2900 = 45.23572588372541
Error sum for iteration 3000 = 45.14381521159481
Error sum for iteration 3100 = 45.05163091046953
Error sum for iteration 3200 = 44.94773920756772
Error sum for iteration 3300 = 44.822675180889256
Error sum for iteration 3400 = 44.68068929690383
Error sum for iteration 3500 = 44.528984189024925
Error sum for iteration 3600 = 44.38852941000482
Error sum for iteration 3700 = 44.31464985608763
Error sum for iteration 3800 = 44.404929247440656
Error sum for iteration 3900 = 44.55911218267625
Error sum for iteration 4000 = 44.406700806500844
Error sum for iteration 4100 = 43.95546217610999
Error sum for iteration 4200 = 43.32096342858991
Error sum for iteration 4300 = 42.595670350347795
Error sum for iteration 4400 = 41.833265470683656
Error sum for iteration 4500 = 41.08196838333366
Error sum for iteration 4600 = 40.36000192856375
Error sum for iteration 4700 = 39.68341749630478
Error sum for iteration 4800 = 39.058264531511824
Error sum for iteration 4900 = 38.4835291116353
Error sum for iteration 5000 = 37.95625678179681
Error sum for iteration 5100 = 37.47016226990652
Error sum for iteration 5200 = 37.01889607512507
Error sum for iteration 5300 = 36.59596413284516
Error sum for iteration 5400 = 36.199567913231384
Error sum for iteration 5500 = 35.82492187297339
Error sum for iteration 5600 = 35.47037433161486
Error sum for iteration 5700 = 35.133992822358344
Error sum for iteration 5800 = 34.8166775217155
Error sum for iteration 5900 = 34.51710128815702
Error sum for iteration 6000 = 34.2295152928244
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0667
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 56.02503144284376
Error sum for iteration 200 = 52.82287825358845
Error sum for iteration 300 = 51.9717551813211
Error sum for iteration 400 = 52.09892385487987
Error sum for iteration 500 = 51.901242634850796
Error sum for iteration 600 = 51.40822281934838
Error sum for iteration 700 = 50.77454587654466
Error sum for iteration 800 = 50.0711227760944
Error sum for iteration 900 = 49.351164610982515
Error sum for iteration 1000 = 48.654120160942014
Error sum for iteration 1100 = 48.00941035842513
Error sum for iteration 1200 = 47.40523461239796
Error sum for iteration 1300 = 46.81414098916751
Error sum for iteration 1400 = 46.2015920106429
Error sum for iteration 1500 = 45.55725138606796
Error sum for iteration 1600 = 44.87775482763596
Error sum for iteration 1700 = 44.15687820972911
Error sum for iteration 1800 = 43.407133738683655
Error sum for iteration 1900 = 42.63781519424475
Error sum for iteration 2000 = 41.863154438502306
Error sum for iteration 2100 = 41.10071265956575
Error sum for iteration 2200 = 40.36040699441833
Error sum for iteration 2300 = 39.65512129130175
Error sum for iteration 2400 = 39.006543640103835
Error sum for iteration 2500 = 38.43861723937605
Error sum for iteration 2600 = 37.93303964185182
Error sum for iteration 2700 = 37.4629425899782
Error sum for iteration 2800 = 36.97649354295742
Error sum for iteration 2900 = 36.435501896966464
Error sum for iteration 3000 = 35.85000455485387
Error sum for iteration 3100 = 35.24684228274844
Error sum for iteration 3200 = 34.64402108926487
Error sum for iteration 3300 = 34.04924349966583
Error sum for iteration 3400 = 33.468450370511704
Error sum for iteration 3500 = 32.90513579338628
Error sum for iteration 3600 = 32.358178135039445
Error sum for iteration 3700 = 31.830300251229882
Error sum for iteration 3800 = 31.320279825921187
Error sum for iteration 3900 = 30.831102885576634
Error sum for iteration 4000 = 30.36294679002654
Error sum for iteration 4100 = 29.913090346451384
Error sum for iteration 4200 = 29.478463051649804
Error sum for iteration 4300 = 29.06090509474472
Error sum for iteration 4400 = 28.6573005994734
Error sum for iteration 4500 = 28.26607266508797
Error sum for iteration 4600 = 27.8863396415978
Error sum for iteration 4700 = 27.51732910418538
Error sum for iteration 4800 = 27.160516802906105
Error sum for iteration 4900 = 26.819459656505757
Error sum for iteration 5000 = 26.48868682523432
Error sum for iteration 5100 = 26.166934173229848
Error sum for iteration 5200 = 25.854418156311578
Error sum for iteration 5300 = 25.55151693723279
Error sum for iteration 5400 = 25.25655396902915
Error sum for iteration 5500 = 24.969305537599194
Error sum for iteration 5600 = 24.689455722561206
Error sum for iteration 5700 = 24.417026009481628
Error sum for iteration 5800 = 24.156574583595862
Error sum for iteration 5900 = 23.903347176211003
Error sum for iteration 6000 = 23.65683142795985
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0667
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.60990408475922
Error sum for iteration 200 = 51.35550090412675
Error sum for iteration 300 = 49.908376399752974
Error sum for iteration 400 = 48.81016496735955
Error sum for iteration 500 = 48.0298324565915
Error sum for iteration 600 = 47.76692398712326
Error sum for iteration 700 = 47.832260325602896
Error sum for iteration 800 = 48.01486921721574
Error sum for iteration 900 = 48.17896667924794
Error sum for iteration 1000 = 48.30203882686207
Error sum for iteration 1100 = 48.37224297564019
Error sum for iteration 1200 = 48.38777211697584
Error sum for iteration 1300 = 48.36184571424003
Error sum for iteration 1400 = 48.321265220201155
Error sum for iteration 1500 = 48.294404437645696
Error sum for iteration 1600 = 48.28003055771029
Error sum for iteration 1700 = 48.19624305004914
Error sum for iteration 1800 = 47.95618721454234
Error sum for iteration 1900 = 47.62041195727593
Error sum for iteration 2000 = 47.264555959632034
Error sum for iteration 2100 = 46.91681471032103
Error sum for iteration 2200 = 46.581596922851176
Error sum for iteration 2300 = 46.25515324891423
Error sum for iteration 2400 = 45.93209974199675
Error sum for iteration 2500 = 45.604185310591795
Error sum for iteration 2600 = 45.260796729238976
Error sum for iteration 2700 = 44.89976807082915
Error sum for iteration 2800 = 44.5182982557345
Error sum for iteration 2900 = 44.11464923695278
Error sum for iteration 3000 = 43.69046362445401
Error sum for iteration 3100 = 43.24697898210485
Error sum for iteration 3200 = 42.78381318466099
Error sum for iteration 3300 = 42.298943109740264
Error sum for iteration 3400 = 41.79132783613869
Error sum for iteration 3500 = 41.26282725957105
Error sum for iteration 3600 = 40.71446030754072
Error sum for iteration 3700 = 40.1511971715042
Error sum for iteration 3800 = 39.578814204151776
Error sum for iteration 3900 = 39.00673382875399
Error sum for iteration 4000 = 38.43675129514785
Error sum for iteration 4100 = 37.87213499347459
Error sum for iteration 4200 = 37.31963031234357
Error sum for iteration 4300 = 36.78426383407591
Error sum for iteration 4400 = 36.26427874778072
Error sum for iteration 4500 = 35.75887761593589
Error sum for iteration 4600 = 35.26772696449938
Error sum for iteration 4700 = 34.781927883257765
Error sum for iteration 4800 = 34.29341415060386
Error sum for iteration 4900 = 33.79400926113249
Error sum for iteration 5000 = 33.278244899574425
Error sum for iteration 5100 = 32.74979612515404
Error sum for iteration 5200 = 32.219392291687086
Error sum for iteration 5300 = 31.698818755942053
Error sum for iteration 5400 = 31.19910222352305
Error sum for iteration 5500 = 30.72920730271943
Error sum for iteration 5600 = 30.296328154398452
Error sum for iteration 5700 = 29.899539374233132
Error sum for iteration 5800 = 29.536062410216296
Error sum for iteration 5900 = 29.205919805504575
Error sum for iteration 6000 = 28.909424769613327
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0667
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
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-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.00359406810891
Error sum for iteration 200 = 53.237579186011466
Error sum for iteration 300 = 51.82487777956313
Error sum for iteration 400 = 51.53877788382574
Error sum for iteration 500 = 51.76607072974798
Error sum for iteration 600 = 52.07911078598892
Error sum for iteration 700 = 52.332208630543896
Error sum for iteration 800 = 52.4948303229568
Error sum for iteration 900 = 52.5570993243907
Error sum for iteration 1000 = 52.533086990942344
Error sum for iteration 1100 = 52.43369030473961
Error sum for iteration 1200 = 52.281996107331935
Error sum for iteration 1300 = 52.079715846782904
Error sum for iteration 1400 = 51.83849255972221
Error sum for iteration 1500 = 51.574055458981
Error sum for iteration 1600 = 51.30616029364627
Error sum for iteration 1700 = 51.04233434634258
Error sum for iteration 1800 = 50.79391324389561
Error sum for iteration 1900 = 50.56715926899095
Error sum for iteration 2000 = 50.36510396529668
Error sum for iteration 2100 = 50.18809368102571
Error sum for iteration 2200 = 50.03551887172415
Error sum for iteration 2300 = 49.90955780490969
Error sum for iteration 2400 = 49.8168722015632
Error sum for iteration 2500 = 49.726664304486604
Error sum for iteration 2600 = 49.62622859820526
Error sum for iteration 2700 = 49.485670431759765
Error sum for iteration 2800 = 49.30831777948131
Error sum for iteration 2900 = 49.111793937071496
Error sum for iteration 3000 = 48.9131741838368
Error sum for iteration 3100 = 48.72205515776442
Error sum for iteration 3200 = 48.556284497732214
Error sum for iteration 3300 = 48.423080397262986
Error sum for iteration 3400 = 48.33076676217833
Error sum for iteration 3500 = 48.282305776342426
Error sum for iteration 3600 = 48.27745231610956
Error sum for iteration 3700 = 48.31796083564561
Error sum for iteration 3800 = 48.39728971195781
Error sum for iteration 3900 = 48.5045163412885
Error sum for iteration 4000 = 48.6218283773211
Error sum for iteration 4100 = 48.73053057172898
Error sum for iteration 4200 = 48.82093943617143
Error sum for iteration 4300 = 48.8869645808838
Error sum for iteration 4400 = 48.93596627624546
Error sum for iteration 4500 = 48.97455545647618
Error sum for iteration 4600 = 49.01037232332447
Error sum for iteration 4700 = 49.03884021776452
Error sum for iteration 4800 = 49.057146837532954
Error sum for iteration 4900 = 49.067320135879136
Error sum for iteration 5000 = 49.07708158693788
Error sum for iteration 5100 = 49.08360676663721
Error sum for iteration 5200 = 49.086990949244
Error sum for iteration 5300 = 49.08636698584111
Error sum for iteration 5400 = 49.08518951916851
Error sum for iteration 5500 = 49.08248149329144
Error sum for iteration 5600 = 49.07969568346109
Error sum for iteration 5700 = 49.08000930117073
Error sum for iteration 5800 = 49.08192170242204
Error sum for iteration 5900 = 49.08679757582421
Error sum for iteration 6000 = 49.09068058586162
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0667
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.33793770079649
Error sum for iteration 200 = 52.082938606584236
Error sum for iteration 300 = 51.102212503036924
Error sum for iteration 400 = 51.03024615656463
Error sum for iteration 500 = 51.1314825970332
Error sum for iteration 600 = 51.114191111228195
Error sum for iteration 700 = 50.68431028671533
Error sum for iteration 800 = 50.00954584449059
Error sum for iteration 900 = 49.30538890405881
Error sum for iteration 1000 = 48.653236419646475
Error sum for iteration 1100 = 48.068795178167164
Error sum for iteration 1200 = 47.55198535047058
Error sum for iteration 1300 = 47.0997126325271
Error sum for iteration 1400 = 46.71093133817607
Error sum for iteration 1500 = 46.387406563408966
Error sum for iteration 1600 = 46.126590458993164
Error sum for iteration 1700 = 45.931469699826955
Error sum for iteration 1800 = 45.79785709729809
Error sum for iteration 1900 = 45.71481956834748
Error sum for iteration 2000 = 45.65092766356688
Error sum for iteration 2100 = 45.5644238706403
Error sum for iteration 2200 = 45.44542608526388
Error sum for iteration 2300 = 45.329312732759696
Error sum for iteration 2400 = 45.26176386454137
Error sum for iteration 2500 = 45.26236092382033
Error sum for iteration 2600 = 45.304299837791724
Error sum for iteration 2700 = 45.324558758876826
Error sum for iteration 2800 = 45.284419968582654
Error sum for iteration 2900 = 45.19939610676496
Error sum for iteration 3000 = 45.10555311505023
Error sum for iteration 3100 = 45.0092209144029
Error sum for iteration 3200 = 44.894768932993834
Error sum for iteration 3300 = 44.75949247369928
Error sum for iteration 3400 = 44.60995487406295
Error sum for iteration 3500 = 44.45640078491816
Error sum for iteration 3600 = 44.3344288574929
Error sum for iteration 3700 = 44.32251045595749
Error sum for iteration 3800 = 44.48489891791136
Error sum for iteration 3900 = 44.52108589841306
Error sum for iteration 4000 = 44.20264620567214
Error sum for iteration 4100 = 43.64312047979457
Error sum for iteration 4200 = 42.94711923260736
Error sum for iteration 4300 = 42.187795434123075
Error sum for iteration 4400 = 41.418310468859914
Error sum for iteration 4500 = 40.6728273897691
Error sum for iteration 4600 = 39.966595367739586
Error sum for iteration 4700 = 39.31105034464189
Error sum for iteration 4800 = 38.708676697716285
Error sum for iteration 4900 = 38.15713421301472
Error sum for iteration 5000 = 37.64923733337688
Error sum for iteration 5100 = 37.180614946668584
Error sum for iteration 5200 = 36.74232069346532
Error sum for iteration 5300 = 36.332306054369504
Error sum for iteration 5400 = 35.94616145522305
Error sum for iteration 5500 = 35.58083739811727
Error sum for iteration 5600 = 35.23465855211804
Error sum for iteration 5700 = 34.90691102408453
Error sum for iteration 5800 = 34.59979316879681
Error sum for iteration 5900 = 34.30548910608856
Error sum for iteration 6000 = 34.022486186482595
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0778
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
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-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
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0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
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-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.98444818653334
Error sum for iteration 200 = 52.771010891093034
Error sum for iteration 300 = 51.97294307725861
Error sum for iteration 400 = 52.09689008450547
Error sum for iteration 500 = 51.874380501710256
Error sum for iteration 600 = 51.362462098931765
Error sum for iteration 700 = 50.71278940207348
Error sum for iteration 800 = 49.99723795017839
Error sum for iteration 900 = 49.2687828331376
Error sum for iteration 1000 = 48.5688013173898
Error sum for iteration 1100 = 47.92223970512405
Error sum for iteration 1200 = 47.31410332458102
Error sum for iteration 1300 = 46.714898317156795
Error sum for iteration 1400 = 46.088901617779385
Error sum for iteration 1500 = 45.431394860190125
Error sum for iteration 1600 = 44.73518575960402
Error sum for iteration 1700 = 43.998745626679124
Error sum for iteration 1800 = 43.2347187696542
Error sum for iteration 1900 = 42.45370794533031
Error sum for iteration 2000 = 41.67141822522582
Error sum for iteration 2100 = 40.904771904021004
Error sum for iteration 2200 = 40.16404062746529
Error sum for iteration 2300 = 39.46363961924977
Error sum for iteration 2400 = 38.832873608094346
Error sum for iteration 2500 = 38.27744128467815
Error sum for iteration 2600 = 37.782951100372706
Error sum for iteration 2700 = 37.30789266780962
Error sum for iteration 2800 = 36.79952419880169
Error sum for iteration 2900 = 36.233126455488666
Error sum for iteration 3000 = 35.63154880282686
Error sum for iteration 3100 = 35.02002963961868
Error sum for iteration 3200 = 34.41270929531172
Error sum for iteration 3300 = 33.81550504156761
Error sum for iteration 3400 = 33.23578464575411
Error sum for iteration 3500 = 32.67272531533612
Error sum for iteration 3600 = 32.12774936660149
Error sum for iteration 3700 = 31.601718462692013
Error sum for iteration 3800 = 31.094975681061104
Error sum for iteration 3900 = 30.610490754090097
Error sum for iteration 4000 = 30.14590341056726
Error sum for iteration 4100 = 29.698538303960127
Error sum for iteration 4200 = 29.267155778763794
Error sum for iteration 4300 = 28.852695613846
Error sum for iteration 4400 = 28.451207194794875
Error sum for iteration 4500 = 28.06193870989109
Error sum for iteration 4600 = 27.683959506954892
Error sum for iteration 4700 = 27.317163160637634
Error sum for iteration 4800 = 26.965252932626715
Error sum for iteration 4900 = 26.626844191786397
Error sum for iteration 5000 = 26.29779292595189
Error sum for iteration 5100 = 25.977729373418462
Error sum for iteration 5200 = 25.66808075976451
Error sum for iteration 5300 = 25.366817882241893
Error sum for iteration 5400 = 25.073476885746626
Error sum for iteration 5500 = 24.787911508345108
Error sum for iteration 5600 = 24.509625478672373
Error sum for iteration 5700 = 24.242181129129367
Error sum for iteration 5800 = 23.983811068092727
Error sum for iteration 5900 = 23.73264120749456
Error sum for iteration 6000 = 23.48798425614374
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0778
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.59247840373092
Error sum for iteration 200 = 51.30044450754386
Error sum for iteration 300 = 49.87166774168267
Error sum for iteration 400 = 48.758682785335544
Error sum for iteration 500 = 47.99773761765697
Error sum for iteration 600 = 47.75799258320122
Error sum for iteration 700 = 47.83912805630199
Error sum for iteration 800 = 48.02550039340498
Error sum for iteration 900 = 48.18778512176451
Error sum for iteration 1000 = 48.306637183180406
Error sum for iteration 1100 = 48.369899466072134
Error sum for iteration 1200 = 48.37772673198684
Error sum for iteration 1300 = 48.34618678063401
Error sum for iteration 1400 = 48.30414044504315
Error sum for iteration 1500 = 48.278682837883856
Error sum for iteration 1600 = 48.26029778543323
Error sum for iteration 1700 = 48.15105254086704
Error sum for iteration 1800 = 47.884095121356296
Error sum for iteration 1900 = 47.535306093681314
Error sum for iteration 2000 = 47.17462079343164
Error sum for iteration 2100 = 46.82426809167168
Error sum for iteration 2200 = 46.48656641811748
Error sum for iteration 2300 = 46.15615555851778
Error sum for iteration 2400 = 45.828681046502496
Error sum for iteration 2500 = 45.492942710004996
Error sum for iteration 2600 = 45.13982877113828
Error sum for iteration 2700 = 44.76826441088705
Error sum for iteration 2800 = 44.37487977591556
Error sum for iteration 2900 = 43.95913757994909
Error sum for iteration 3000 = 43.52266898047995
Error sum for iteration 3100 = 43.06671465417579
Error sum for iteration 3200 = 42.58981319451816
Error sum for iteration 3300 = 42.09002204906448
Error sum for iteration 3400 = 41.56777811820324
Error sum for iteration 3500 = 41.02451904375388
Error sum for iteration 3600 = 40.462384379782435
Error sum for iteration 3700 = 39.88784298938915
Error sum for iteration 3800 = 39.3076562932225
Error sum for iteration 3900 = 38.72958620245461
Error sum for iteration 4000 = 38.15498392843563
Error sum for iteration 4100 = 37.588005547197454
Error sum for iteration 4200 = 37.03805763213423
Error sum for iteration 4300 = 36.50452102083529
Error sum for iteration 4400 = 35.986551877570335
Error sum for iteration 4500 = 35.48377375281953
Error sum for iteration 4600 = 34.99219660349117
Error sum for iteration 4700 = 34.50139677831878
Error sum for iteration 4800 = 34.00335251339455
Error sum for iteration 4900 = 33.49020367208691
Error sum for iteration 5000 = 32.95976181605932
Error sum for iteration 5100 = 32.42254103518012
Error sum for iteration 5200 = 31.89108002696028
Error sum for iteration 5300 = 31.375219653197732
Error sum for iteration 5400 = 30.887524618231648
Error sum for iteration 5500 = 30.435331669379064
Error sum for iteration 5600 = 30.02160215323951
Error sum for iteration 5700 = 29.642744672245144
Error sum for iteration 5800 = 29.297987216614775
Error sum for iteration 5900 = 28.987468788040278
Error sum for iteration 6000 = 28.70717604777416
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0778
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 54.97606401403674
Error sum for iteration 200 = 53.199226261295436
Error sum for iteration 300 = 51.79499818237906
Error sum for iteration 400 = 51.54357830557118
Error sum for iteration 500 = 51.78364285556274
Error sum for iteration 600 = 52.09794566948822
Error sum for iteration 700 = 52.34665570186751
Error sum for iteration 800 = 52.50102250623559
Error sum for iteration 900 = 52.55262322445538
Error sum for iteration 1000 = 52.51905568600142
Error sum for iteration 1100 = 52.40962907817934
Error sum for iteration 1200 = 52.2485032835065
Error sum for iteration 1300 = 52.03741675344678
Error sum for iteration 1400 = 51.78701007533329
Error sum for iteration 1500 = 51.51772487553429
Error sum for iteration 1600 = 51.246101341544716
Error sum for iteration 1700 = 50.98127313434955
Error sum for iteration 1800 = 50.73373048272626
Error sum for iteration 1900 = 50.50863257559334
Error sum for iteration 2000 = 50.31002519432534
Error sum for iteration 2100 = 50.13618637539754
Error sum for iteration 2200 = 49.98784438432108
Error sum for iteration 2300 = 49.869957681760184
Error sum for iteration 2400 = 49.77949825600691
Error sum for iteration 2500 = 49.6863469136106
Error sum for iteration 2600 = 49.57291124733489
Error sum for iteration 2700 = 49.41492415703186
Error sum for iteration 2800 = 49.22564931478277
Error sum for iteration 2900 = 49.022443737786055
Error sum for iteration 3000 = 48.821666812831864
Error sum for iteration 3100 = 48.632666396607696
Error sum for iteration 3200 = 48.47568410248828
Error sum for iteration 3300 = 48.351687843447664
Error sum for iteration 3400 = 48.273081671823704
Error sum for iteration 3500 = 48.23912945641852
Error sum for iteration 3600 = 48.25101578111448
Error sum for iteration 3700 = 48.30693502589702
Error sum for iteration 3800 = 48.39914890102411
Error sum for iteration 3900 = 48.51445634533714
Error sum for iteration 4000 = 48.62953964347615
Error sum for iteration 4100 = 48.730281353608525
Error sum for iteration 4200 = 48.80914363113888
Error sum for iteration 4300 = 48.8635053659685
Error sum for iteration 4400 = 48.90753497120339
Error sum for iteration 4500 = 48.942260531670975
Error sum for iteration 4600 = 48.975599780732814
Error sum for iteration 4700 = 48.99755777571772
Error sum for iteration 4800 = 49.010941357045795
Error sum for iteration 4900 = 49.019434311369686
Error sum for iteration 5000 = 49.02823595764859
Error sum for iteration 5100 = 49.03334598519796
Error sum for iteration 5200 = 49.03467627953316
Error sum for iteration 5300 = 49.03315985299325
Error sum for iteration 5400 = 49.03150977403519
Error sum for iteration 5500 = 49.02886042503531
Error sum for iteration 5600 = 49.02911108599602
Error sum for iteration 5700 = 49.03009094893351
Error sum for iteration 5800 = 49.0349235190394
Error sum for iteration 5900 = 49.040592421910176
Error sum for iteration 6000 = 49.04425489185999
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0778
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.318254445557
Error sum for iteration 200 = 52.05050195974091
Error sum for iteration 300 = 51.08896141976941
Error sum for iteration 400 = 51.034261092629336
Error sum for iteration 500 = 51.137695122658606
Error sum for iteration 600 = 51.096097730428035
Error sum for iteration 700 = 50.6302366544603
Error sum for iteration 800 = 49.938321041918385
Error sum for iteration 900 = 49.22758118648122
Error sum for iteration 1000 = 48.57418322599462
Error sum for iteration 1100 = 47.99015068877831
Error sum for iteration 1200 = 47.475475231418386
Error sum for iteration 1300 = 47.02667028621238
Error sum for iteration 1400 = 46.64313178959568
Error sum for iteration 1500 = 46.325707737597675
Error sum for iteration 1600 = 46.07316474235592
Error sum for iteration 1700 = 45.88729016842048
Error sum for iteration 1800 = 45.763510927729
Error sum for iteration 1900 = 45.687310029312044
Error sum for iteration 2000 = 45.622180763618715
Error sum for iteration 2100 = 45.528089372805724
Error sum for iteration 2200 = 45.40635279241819
Error sum for iteration 2300 = 45.30022443911033
Error sum for iteration 2400 = 45.25297948539115
Error sum for iteration 2500 = 45.27209864418367
Error sum for iteration 2600 = 45.31462013854309
Error sum for iteration 2700 = 45.31525746968173
Error sum for iteration 2800 = 45.25452107686621
Error sum for iteration 2900 = 45.16092064608587
Error sum for iteration 3000 = 45.0657629925155
Error sum for iteration 3100 = 44.962120000465916
Error sum for iteration 3200 = 44.83660652565312
Error sum for iteration 3300 = 44.69219767777453
Error sum for iteration 3400 = 44.535871767428894
Error sum for iteration 3500 = 44.38706353455316
Error sum for iteration 3600 = 44.29910272922227
Error sum for iteration 3700 = 44.37460899858597
Error sum for iteration 3800 = 44.538417828684096
Error sum for iteration 3900 = 44.39732481805113
Error sum for iteration 4000 = 43.93963406593816
Error sum for iteration 4100 = 43.29108864364126
Error sum for iteration 4200 = 42.54799533892221
Error sum for iteration 4300 = 41.7678312028333
Error sum for iteration 4400 = 41.00095478338835
Error sum for iteration 4500 = 40.266452074759094
Error sum for iteration 4600 = 39.58063800748902
Error sum for iteration 4700 = 38.94878142407737
Error sum for iteration 4800 = 38.36951676766115
Error sum for iteration 4900 = 37.83868591562349
Error sum for iteration 5000 = 37.35039073427332
Error sum for iteration 5100 = 36.89612659360093
Error sum for iteration 5200 = 36.471041451039255
Error sum for iteration 5300 = 36.072628217501745
Error sum for iteration 5400 = 35.69603611832609
Error sum for iteration 5500 = 35.33980868925498
Error sum for iteration 5600 = 35.00190080159734
Error sum for iteration 5700 = 34.68557049758156
Error sum for iteration 5800 = 34.38420179441168
Error sum for iteration 5900 = 34.09477739677762
Error sum for iteration 6000 = 33.816113899012464
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0889
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.94244508961787
Error sum for iteration 200 = 52.71980703425743
Error sum for iteration 300 = 51.974948917635864
Error sum for iteration 400 = 52.09363776218561
Error sum for iteration 500 = 51.846032892619654
Error sum for iteration 600 = 51.31471369158479
Error sum for iteration 700 = 50.64895059618307
Error sum for iteration 800 = 49.92129240674038
Error sum for iteration 900 = 49.18466552153337
Error sum for iteration 1000 = 48.48215606014112
Error sum for iteration 1100 = 47.83366586275716
Error sum for iteration 1200 = 47.22077605950984
Error sum for iteration 1300 = 46.61231055050678
Error sum for iteration 1400 = 45.97191686396677
Error sum for iteration 1500 = 45.30086923731478
Error sum for iteration 1600 = 44.58749990726333
Error sum for iteration 1700 = 43.835544227923904
Error sum for iteration 1800 = 43.057329205482304
Error sum for iteration 1900 = 42.26508229264811
Error sum for iteration 2000 = 41.47597697026141
Error sum for iteration 2100 = 40.70594130695497
Error sum for iteration 2200 = 39.966303261555574
Error sum for iteration 2300 = 39.27316661484873
Error sum for iteration 2400 = 38.66125327027312
Error sum for iteration 2500 = 38.12034336282662
Error sum for iteration 2600 = 37.63239291901667
Error sum for iteration 2700 = 37.14585033430546
Error sum for iteration 2800 = 36.610789476749645
Error sum for iteration 2900 = 36.02143538670219
Error sum for iteration 3000 = 35.406615448999446
Error sum for iteration 3100 = 34.78856659412187
Error sum for iteration 3200 = 34.177584951441084
Error sum for iteration 3300 = 33.579661371139544
Error sum for iteration 3400 = 33.000409325355626
Error sum for iteration 3500 = 32.4380437254447
Error sum for iteration 3600 = 31.89543871054157
Error sum for iteration 3700 = 31.37155036290215
Error sum for iteration 3800 = 30.868434195765094
Error sum for iteration 3900 = 30.388490454458303
Error sum for iteration 4000 = 29.927634727277606
Error sum for iteration 4100 = 29.482827692574762
Error sum for iteration 4200 = 29.05554539773916
Error sum for iteration 4300 = 28.64324241887327
Error sum for iteration 4400 = 28.243889464403193
Error sum for iteration 4500 = 27.856550422726425
Error sum for iteration 4600 = 27.480364735034172
Error sum for iteration 4700 = 27.11667809401104
Error sum for iteration 4800 = 26.769782478741384
Error sum for iteration 4900 = 26.43311033007235
Error sum for iteration 5000 = 26.105788972965204
Error sum for iteration 5100 = 25.788519382883543
Error sum for iteration 5200 = 25.48069686211432
Error sum for iteration 5300 = 25.18110021410131
Error sum for iteration 5400 = 24.88950432824962
Error sum for iteration 5500 = 24.605540488774064
Error sum for iteration 5600 = 24.330464155494813
Error sum for iteration 5700 = 24.066765246846757
Error sum for iteration 5800 = 23.810769193150946
Error sum for iteration 5900 = 23.561054589366215
Error sum for iteration 6000 = 23.320776398493567
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0889
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.57485106688372
Error sum for iteration 200 = 51.245379427930246
Error sum for iteration 300 = 49.83378417250904
Error sum for iteration 400 = 48.7069659366765
Error sum for iteration 500 = 47.96646674718508
Error sum for iteration 600 = 47.75024609542429
Error sum for iteration 700 = 47.84693325376021
Error sum for iteration 800 = 48.03602260977533
Error sum for iteration 900 = 48.19619327688277
Error sum for iteration 1000 = 48.310374601128316
Error sum for iteration 1100 = 48.36641115684441
Error sum for iteration 1200 = 48.36642335865414
Error sum for iteration 1300 = 48.329390214681915
Error sum for iteration 1400 = 48.28641922791138
Error sum for iteration 1500 = 48.262284665114535
Error sum for iteration 1600 = 48.237278768147554
Error sum for iteration 1700 = 48.09943969270365
Error sum for iteration 1800 = 47.807164785842126
Error sum for iteration 1900 = 47.44734968770177
Error sum for iteration 2000 = 47.08251019630649
Error sum for iteration 2100 = 46.72966181299868
Error sum for iteration 2200 = 46.3894578694546
Error sum for iteration 2300 = 46.05520895560194
Error sum for iteration 2400 = 45.72189114260432
Error sum for iteration 2500 = 45.377282214794754
Error sum for iteration 2600 = 45.014242553826314
Error sum for iteration 2700 = 44.63138536677666
Error sum for iteration 2800 = 44.225496402918715
Error sum for iteration 2900 = 43.797289970180586
Error sum for iteration 3000 = 43.347993005478145
Error sum for iteration 3100 = 42.879016547215635
Error sum for iteration 3200 = 42.38770156837197
Error sum for iteration 3300 = 41.87247642822486
Error sum for iteration 3400 = 41.33545371221644
Error sum for iteration 3500 = 40.77725796758928
Error sum for iteration 3600 = 40.20240027108234
Error sum for iteration 3700 = 39.617059058015684
Error sum for iteration 3800 = 39.03083290599247
Error sum for iteration 3900 = 38.44687362949502
Error sum for iteration 4000 = 37.86842608527561
Error sum for iteration 4100 = 37.30225256479466
Error sum for iteration 4200 = 36.75409391160418
Error sum for iteration 4300 = 36.2225116212398
Error sum for iteration 4400 = 35.706816729799
Error sum for iteration 4500 = 35.20651961936028
Error sum for iteration 4600 = 34.711769630920415
Error sum for iteration 4700 = 34.213639226905876
Error sum for iteration 4800 = 33.70314550082917
Error sum for iteration 4900 = 33.17411679380158
Error sum for iteration 5000 = 32.6327925974255
Error sum for iteration 5100 = 32.09087831372254
Error sum for iteration 5200 = 31.560434144276567
Error sum for iteration 5300 = 31.054838088476785
Error sum for iteration 5400 = 30.582953635339194
Error sum for iteration 5500 = 30.15099466615788
Error sum for iteration 5600 = 29.755909696626723
Error sum for iteration 5700 = 29.39551844395383
Error sum for iteration 5800 = 29.070048684150702
Error sum for iteration 5900 = 28.778423280533925
Error sum for iteration 6000 = 28.51211503431913
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0889
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 54.94811942150958
Error sum for iteration 200 = 53.15966581555618
Error sum for iteration 300 = 51.766271919905805
Error sum for iteration 400 = 51.54932332563432
Error sum for iteration 500 = 51.80175627303495
Error sum for iteration 600 = 52.116629581236865
Error sum for iteration 700 = 52.360535016348486
Error sum for iteration 800 = 52.5061224645641
Error sum for iteration 900 = 52.546724517015186
Error sum for iteration 1000 = 52.50330259844406
Error sum for iteration 1100 = 52.38391000461246
Error sum for iteration 1200 = 52.21292851677684
Error sum for iteration 1300 = 51.99285145173859
Error sum for iteration 1400 = 51.73374992109541
Error sum for iteration 1500 = 51.45978718816945
Error sum for iteration 1600 = 51.185031348658896
Error sum for iteration 1700 = 50.91909728425813
Error sum for iteration 1800 = 50.67259424931112
Error sum for iteration 1900 = 50.44969715705065
Error sum for iteration 2000 = 50.254708693544806
Error sum for iteration 2100 = 50.08471572808117
Error sum for iteration 2200 = 49.94097016968163
Error sum for iteration 2300 = 49.831791306613894
Error sum for iteration 2400 = 49.73992221429268
Error sum for iteration 2500 = 49.64182823346532
Error sum for iteration 2600 = 49.5122138578658
Error sum for iteration 2700 = 49.3384683717739
Error sum for iteration 2800 = 49.13836358816009
Error sum for iteration 2900 = 48.93060307330916
Error sum for iteration 3000 = 48.727922204427216
Error sum for iteration 3100 = 48.54461281370559
Error sum for iteration 3200 = 48.39546522890946
Error sum for iteration 3300 = 48.28365945966504
Error sum for iteration 3400 = 48.219013274947805
Error sum for iteration 3500 = 48.200375838822275
Error sum for iteration 3600 = 48.2295444190759
Error sum for iteration 3700 = 48.30095554371575
Error sum for iteration 3800 = 48.404195850251675
Error sum for iteration 3900 = 48.52189885652181
Error sum for iteration 4000 = 48.63191069804279
Error sum for iteration 4100 = 48.72356404101193
Error sum for iteration 4200 = 48.789626780950826
Error sum for iteration 4300 = 48.836249069592846
Error sum for iteration 4400 = 48.8733842277912
Error sum for iteration 4500 = 48.90777969019843
Error sum for iteration 4600 = 48.93457922759785
Error sum for iteration 4700 = 48.951218584427565
Error sum for iteration 4800 = 48.9602588356358
Error sum for iteration 4900 = 48.97014068128494
Error sum for iteration 5000 = 48.97725751131957
Error sum for iteration 5100 = 48.980137613754295
Error sum for iteration 5200 = 48.97931882031761
Error sum for iteration 5300 = 48.97805526866784
Error sum for iteration 5400 = 48.97641997541236
Error sum for iteration 5500 = 48.97583692087883
Error sum for iteration 5600 = 48.976759140332376
Error sum for iteration 5700 = 48.981375624238446
Error sum for iteration 5800 = 48.98783225653939
Error sum for iteration 5900 = 48.9922699730918
Error sum for iteration 6000 = 48.996654599361925
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0889
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.29873220204799
Error sum for iteration 200 = 52.017282958184076
Error sum for iteration 300 = 51.07672398274099
Error sum for iteration 400 = 51.038435977025486
Error sum for iteration 500 = 51.143629407834794
Error sum for iteration 600 = 51.07484094898377
Error sum for iteration 700 = 50.57295185708946
Error sum for iteration 800 = 49.86479593849345
Error sum for iteration 900 = 49.14808396444362
Error sum for iteration 1000 = 48.4938711235747
Error sum for iteration 1100 = 47.91063785366472
Error sum for iteration 1200 = 47.39824672600701
Error sum for iteration 1300 = 46.95318639385396
Error sum for iteration 1400 = 46.57520003209857
Error sum for iteration 1500 = 46.26426978792194
Error sum for iteration 1600 = 46.02047883768261
Error sum for iteration 1700 = 45.844313643607634
Error sum for iteration 1800 = 45.73045182863642
Error sum for iteration 1900 = 45.660082112782455
Error sum for iteration 2000 = 45.591860018279675
Error sum for iteration 2100 = 45.490183706821725
Error sum for iteration 2200 = 45.3687546394602
Error sum for iteration 2300 = 45.27642234119283
Error sum for iteration 2400 = 45.25090470634614
Error sum for iteration 2500 = 45.28473897639933
Error sum for iteration 2600 = 45.319872076951924
Error sum for iteration 2700 = 45.29767430911288
Error sum for iteration 2800 = 45.21910070931795
Error sum for iteration 2900 = 45.12189565464693
Error sum for iteration 3000 = 45.023578669654086
Error sum for iteration 3100 = 44.90969369861539
Error sum for iteration 3200 = 44.77327821029675
Error sum for iteration 3300 = 44.62034809834152
Error sum for iteration 3400 = 44.460546009470455
Error sum for iteration 3500 = 44.327658963378106
Error sum for iteration 3600 = 44.2988281007798
Error sum for iteration 3700 = 44.455931015981946
Error sum for iteration 3800 = 44.5080447960245
Error sum for iteration 3900 = 44.19078238468451
Error sum for iteration 4000 = 43.620578675383264
Error sum for iteration 4100 = 42.90766252516143
Error sum for iteration 4200 = 42.129675997315914
Error sum for iteration 4300 = 41.343225211127375
Error sum for iteration 4400 = 40.5833063025714
Error sum for iteration 4500 = 39.8664363383807
Error sum for iteration 4600 = 39.202868419105634
Error sum for iteration 4700 = 38.59502565363229
Error sum for iteration 4800 = 38.03963066326259
Error sum for iteration 4900 = 37.528883894033434
Error sum for iteration 5000 = 37.057457604891404
Error sum for iteration 5100 = 36.61670523905868
Error sum for iteration 5200 = 36.20468678566789
Error sum for iteration 5300 = 35.816213580589164
Error sum for iteration 5400 = 35.449251434886996
Error sum for iteration 5500 = 35.10158703374026
Error sum for iteration 5600 = 34.77461836811182
Error sum for iteration 5700 = 34.46581343427595
Error sum for iteration 5800 = 34.169639778088474
Error sum for iteration 5900 = 33.88467580656976
Error sum for iteration 6000 = 33.6110160928183
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.1
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 55.89898813909292
Error sum for iteration 200 = 52.66932968562125
Error sum for iteration 300 = 51.977551383646876
Error sum for iteration 400 = 52.089160405561444
Error sum for iteration 500 = 51.816660185353776
Error sum for iteration 600 = 51.2650986903736
Error sum for iteration 700 = 50.58281051786611
Error sum for iteration 800 = 49.84320141266854
Error sum for iteration 900 = 49.09885382541495
Error sum for iteration 1000 = 48.39410946200471
Error sum for iteration 1100 = 47.743689846290344
Error sum for iteration 1200 = 47.12507286766411
Error sum for iteration 1300 = 46.506168278667076
Error sum for iteration 1400 = 45.85122342130798
Error sum for iteration 1500 = 45.16550597053643
Error sum for iteration 1600 = 44.43454337679942
Error sum for iteration 1700 = 43.667077135817955
Error sum for iteration 1800 = 42.87493342441819
Error sum for iteration 1900 = 42.07208611864468
Error sum for iteration 2000 = 41.2774227972579
Error sum for iteration 2100 = 40.50473921854173
Error sum for iteration 2200 = 39.76734380470097
Error sum for iteration 2300 = 39.087012807783886
Error sum for iteration 2400 = 38.491457072613606
Error sum for iteration 2500 = 37.964773718876415
Error sum for iteration 2600 = 37.47829688140442
Error sum for iteration 2700 = 36.973699493788345
Error sum for iteration 2800 = 36.41047283045796
Error sum for iteration 2900 = 35.80151945094843
Error sum for iteration 3000 = 35.17616597002464
Error sum for iteration 3100 = 34.552625555841374
Error sum for iteration 3200 = 33.938760770557494
Error sum for iteration 3300 = 33.34163776245531
Error sum for iteration 3400 = 32.762457493810416
Error sum for iteration 3500 = 32.201912251800195
Error sum for iteration 3600 = 31.6612463515805
Error sum for iteration 3700 = 31.140270798533763
Error sum for iteration 3800 = 30.642555268929282
Error sum for iteration 3900 = 30.166248216899906
Error sum for iteration 4000 = 29.708087902246117
Error sum for iteration 4100 = 29.266332865563925
Error sum for iteration 4200 = 28.84266772319732
Error sum for iteration 4300 = 28.432598893682183
Error sum for iteration 4400 = 28.035319361608668
Error sum for iteration 4500 = 27.649818277143332
Error sum for iteration 4600 = 27.276126727680953
Error sum for iteration 4700 = 26.917706286774504
Error sum for iteration 4800 = 26.57310776951447
Error sum for iteration 4900 = 26.238233414922462
Error sum for iteration 5000 = 25.913023707129
Error sum for iteration 5100 = 25.598370676414447
Error sum for iteration 5200 = 25.292263714326808
Error sum for iteration 5300 = 24.99438219010065
Error sum for iteration 5400 = 24.704522885117008
Error sum for iteration 5500 = 24.422197478727576
Error sum for iteration 5600 = 24.152573936537014
Error sum for iteration 5700 = 23.89131194098087
Error sum for iteration 5800 = 23.63679996842263
Error sum for iteration 5900 = 23.390066345521554
Error sum for iteration 6000 = 23.154207671667105
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.1
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.55697109392805
Error sum for iteration 200 = 51.190366532591014
Error sum for iteration 300 = 49.794552690507885
Error sum for iteration 400 = 48.65490360731682
Error sum for iteration 500 = 47.93605792371002
Error sum for iteration 600 = 47.743671855697734
Error sum for iteration 700 = 47.85553345779143
Error sum for iteration 800 = 48.04651264662697
Error sum for iteration 900 = 48.20426553834526
Error sum for iteration 1000 = 48.31313918574164
Error sum for iteration 1100 = 48.36167131622959
Error sum for iteration 1200 = 48.35371590973596
Error sum for iteration 1300 = 48.311492871719494
Error sum for iteration 1400 = 48.26815200552351
Error sum for iteration 1500 = 48.24532673111966
Error sum for iteration 1600 = 48.210362985908986
Error sum for iteration 1700 = 48.041281161529504
Error sum for iteration 1800 = 47.72554742782335
Error sum for iteration 1900 = 47.35652400469955
Error sum for iteration 2000 = 46.988486838032614
Error sum for iteration 2100 = 46.632871850776915
Error sum for iteration 2200 = 46.28954099927291
Error sum for iteration 2300 = 45.95138188571181
Error sum for iteration 2400 = 45.61144409886579
Error sum for iteration 2500 = 45.257102267114334
Error sum for iteration 2600 = 44.88339424771532
Error sum for iteration 2700 = 44.488643928708626
Error sum for iteration 2800 = 44.06988329646728
Error sum for iteration 2900 = 43.628812237715515
Error sum for iteration 3000 = 43.16670847703589
Error sum for iteration 3100 = 42.68363754140791
Error sum for iteration 3200 = 42.17707814645202
Error sum for iteration 3300 = 41.64660612861743
Error sum for iteration 3400 = 41.094057073466914
Error sum for iteration 3500 = 40.521116003386254
Error sum for iteration 3600 = 39.934029376919014
Error sum for iteration 3700 = 39.339838800550694
Error sum for iteration 3800 = 38.747454362839214
Error sum for iteration 3900 = 38.15862061602056
Error sum for iteration 4000 = 37.57757533741375
Error sum for iteration 4100 = 37.01393906589904
Error sum for iteration 4200 = 36.467805393938974
Error sum for iteration 4300 = 35.93868010412323
Error sum for iteration 4400 = 35.42611601531287
Error sum for iteration 4500 = 34.9252941443298
Error sum for iteration 4600 = 34.42519009802735
Error sum for iteration 4700 = 33.91676043715833
Error sum for iteration 4800 = 33.39113258103292
Error sum for iteration 4900 = 32.84774582484204
Error sum for iteration 5000 = 32.29780832991282
Error sum for iteration 5100 = 31.754768978779506
Error sum for iteration 5200 = 31.231454619415814
Error sum for iteration 5300 = 30.74009009892492
Error sum for iteration 5400 = 30.288295622951185
Error sum for iteration 5500 = 29.87590120642023
Error sum for iteration 5600 = 29.499297870771503
Error sum for iteration 5700 = 29.15844713376269
Error sum for iteration 5800 = 28.853795919002
Error sum for iteration 5900 = 28.57720375517821
Error sum for iteration 6000 = 28.32371693365083
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.1
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 54.919749250440326
Error sum for iteration 200 = 53.11881071999147
Error sum for iteration 300 = 51.73889735246326
Error sum for iteration 400 = 51.555921153542535
Error sum for iteration 500 = 51.82029351983775
Error sum for iteration 600 = 52.1351181725461
Error sum for iteration 700 = 52.37363922738771
Error sum for iteration 800 = 52.5100630363339
Error sum for iteration 900 = 52.539642826685466
Error sum for iteration 1000 = 52.48574705252568
Error sum for iteration 1100 = 52.356319054375085
Error sum for iteration 1200 = 52.17512970928758
Error sum for iteration 1300 = 51.94596475301469
Error sum for iteration 1400 = 51.67900043934442
Error sum for iteration 1500 = 51.400788727894074
Error sum for iteration 1600 = 51.1224793121752
Error sum for iteration 1700 = 50.855760536097286
Error sum for iteration 1800 = 50.610691906290334
Error sum for iteration 1900 = 50.39076122778802
Error sum for iteration 2000 = 50.19922937143912
Error sum for iteration 2100 = 50.03347251522528
Error sum for iteration 2200 = 49.89597296234314
Error sum for iteration 2300 = 49.79378293854724
Error sum for iteration 2400 = 49.69737515629654
Error sum for iteration 2500 = 49.592076491342134
Error sum for iteration 2600 = 49.44409271596594
Error sum for iteration 2700 = 49.25588708103206
Error sum for iteration 2800 = 49.04698609543116
Error sum for iteration 2900 = 48.83559879951086
Error sum for iteration 3000 = 48.632692585453334
Error sum for iteration 3100 = 48.457208371070465
Error sum for iteration 3200 = 48.31613533412724
Error sum for iteration 3300 = 48.21896864782224
Error sum for iteration 3400 = 48.169002834137274
Error sum for iteration 3500 = 48.16694269674424
Error sum for iteration 3600 = 48.21281442944552
Error sum for iteration 3700 = 48.298620389335134
Error sum for iteration 3800 = 48.41129415862265
Error sum for iteration 3900 = 48.526997836746425
Error sum for iteration 4000 = 48.62926161192272
Error sum for iteration 4100 = 48.70889239303748
Error sum for iteration 4200 = 48.762330993143
Error sum for iteration 4300 = 48.80360013930682
Error sum for iteration 4400 = 48.83634337408621
Error sum for iteration 4500 = 48.86831481681138
Error sum for iteration 4600 = 48.88844425930159
Error sum for iteration 4700 = 48.89990878308497
Error sum for iteration 4800 = 48.90834413786606
Error sum for iteration 4900 = 48.91793491720296
Error sum for iteration 5000 = 48.92253830847116
Error sum for iteration 5100 = 48.92340334243943
Error sum for iteration 5200 = 48.92211925053901
Error sum for iteration 5300 = 48.92152122332933
Error sum for iteration 5400 = 48.91998126915553
Error sum for iteration 5500 = 48.92179535239648
Error sum for iteration 5600 = 48.925254721607736
Error sum for iteration 5700 = 48.932161924274595
Error sum for iteration 5800 = 48.93838347546229
Error sum for iteration 5900 = 48.94381858648097
Error sum for iteration 6000 = 48.9473514444114
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.1
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 53.27936619781407
Error sum for iteration 200 = 51.983295818603686
Error sum for iteration 300 = 51.06554244102009
Error sum for iteration 400 = 51.042933746807314
Error sum for iteration 500 = 51.148991438197704
Error sum for iteration 600 = 51.050282873722544
Error sum for iteration 700 = 50.51244887308344
Error sum for iteration 800 = 49.788992896707484
Error sum for iteration 900 = 49.066907818028504
Error sum for iteration 1000 = 48.41225136852009
Error sum for iteration 1100 = 47.83017823882239
Error sum for iteration 1200 = 47.320314328499386
Error sum for iteration 1300 = 46.879286815672636
Error sum for iteration 1400 = 46.507181022229226
Error sum for iteration 1500 = 46.203180993364306
Error sum for iteration 1600 = 45.968630337333614
Error sum for iteration 1700 = 45.80265935785815
Error sum for iteration 1800 = 45.698643475203255
Error sum for iteration 1900 = 45.63277212405974
Error sum for iteration 2000 = 45.559714426166785
Error sum for iteration 2100 = 45.451247706733824
Error sum for iteration 2200 = 45.3336084575083
Error sum for iteration 2300 = 45.25873599587527
Error sum for iteration 2400 = 45.25511408409626
Error sum for iteration 2500 = 45.2978414981247
Error sum for iteration 2600 = 45.31770091355345
Error sum for iteration 2700 = 45.27216504585427
Error sum for iteration 2800 = 45.18036781186112
Error sum for iteration 2900 = 45.081294561334296
Error sum for iteration 3000 = 44.977207559107846
Error sum for iteration 3100 = 44.85159786747226
Error sum for iteration 3200 = 44.70493836020272
Error sum for iteration 3300 = 44.544487525725934
Error sum for iteration 3400 = 44.38729415774807
Error sum for iteration 3500 = 44.285229069327045
Error sum for iteration 3600 = 44.34437205321352
Error sum for iteration 3700 = 44.51624555434837
Error sum for iteration 3800 = 44.38738456689474
Error sum for iteration 3900 = 43.92310930267637
Error sum for iteration 4000 = 43.25984321917442
Error sum for iteration 4100 = 42.49811484655324
Error sum for iteration 4200 = 41.699454000574015
Error sum for iteration 4300 = 40.91651655257614
Error sum for iteration 4400 = 40.16923127876704
Error sum for iteration 4500 = 39.47411651461298
Error sum for iteration 4600 = 38.835575857221315
Error sum for iteration 4700 = 38.252029779925216
Error sum for iteration 4800 = 37.71791400647179
Error sum for iteration 4900 = 37.226924716887396
Error sum for iteration 5000 = 36.7696391166781
Error sum for iteration 5100 = 36.34273892023593
Error sum for iteration 5200 = 35.941884875250175
Error sum for iteration 5300 = 35.563340163370164
Error sum for iteration 5400 = 35.2053455579707
Error sum for iteration 5500 = 34.86713683367912
Error sum for iteration 5600 = 34.55049699458044
Error sum for iteration 5700 = 34.24722185913232
Error sum for iteration 5800 = 33.95581065184185
Error sum for iteration 5900 = 33.67570315328862
Error sum for iteration 6000 = 33.40677748082813
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.30251691802653435 -0.07143050664015438 age
-0.7657510692520924 -0.5299470762796283 workclass=Private
-0.5372042437216584 0.6726759113543692 workclass=Self-emp-not-inc
-0.8120503696116794 0.11355266956134336 workclass=Self-emp-inc
-0.3700323689442373 0.8967686633630032 workclass=Federal-gov
0.4671655963223258 -0.0015565583245018555 workclass=Local-gov
-0.8297734625686974 0.2552798945842283 workclass=State-gov
0.5551422776551058 0.8040570397800899 workclass=Without-pay
0.9067754653170166 -0.32097707790219276 workclass=Never-worked
0.9338928492317984 0.08878841997881648 fnlwgt
0.3908024428336665 -0.46119937529458976 education=Bachelors
-0.2486181354780952 0.15023594581883493 education=Some-college
-0.40262679859121 -0.5149240606125816 education=11th
-0.33952395365237087 0.8338724163728046 education=HS-grad
0.1673021349859909 0.006141740462910494 education=Prof-school
-0.2774136433653378 0.9297180573711159 education=Assoc-acdm
0.11543903622799756 0.6728308650165198 education=Assoc-voc
0.736642930321143 -0.7296300677064129 education=9th
0.8548952976905027 0.04874174259736486 education=7th-8th
-0.5714212065726438 -0.7296623591811806 education=12th
0.818136293377939 0.9369177199848204 education=Masters
-0.75520869868355 0.25601797832940076 education=1st-4th
-0.49908088932667094 0.19636388930185977 education=10th
0.7558178339548476 0.2016392957261346 education=Doctorate
0.3688313985387006 0.07792050575035203 education=5th-6th
0.2081435329174981 0.426700280560365 education=Preschool
-0.45248231027811303 0.7757819770749441 education-num
0.9708708845313612 -0.7138574659292771 marital-status=Married-civ-spouse
0.7091436017448705 0.63906863737732 marital-status=Divorced
-0.48813536077052877 0.10081433413235996 marital-status=Never-married
-0.9444308865930382 0.8017680682388577 marital-status=Separated
-0.7993466166423768 -0.4184748352750751 marital-status=Widowed
0.11316468923162537 -0.47272557464524323 marital-status=Married-spouse-absent
0.3622680641010607 0.1877452874815171 marital-status=Married-AF-spouse
-0.6309708085372427 0.577615598097549 occupation=Tech-support
-0.6194654866492892 -0.5319107921224049 occupation=Craft-repair
0.11114188945671089 -0.247022368207511 occupation=Other-service
0.6480619514069936 -0.9657771941893942 occupation=Sales
-0.45297743647091604 -0.6562399114558191 occupation=Exec-managerial
0.25398956539409423 0.8465745172758266 occupation=Prof-specialty
-0.9281305879915189 -0.3716645029904908 occupation=Handlers-cleaners
-0.4460834206899664 0.7067915363520352 occupation=Machine-op-inspct
0.9867170537636676 -0.638112234874689 occupation=Adm-clerical
-0.6624447127515511 0.8695894822368269 occupation=Farming-fishing
0.922487051240712 -0.8441254243982121 occupation=Transport-moving
-0.049537727724647374 -0.539421979121032 occupation=Priv-house-serv
-0.5567823448758469 -0.9417498914410276 occupation=Protective-serv
0.2824242789871778 -0.284368996386936 occupation=Armed-Forces
-0.13866181235504627 -0.08020013723931352 relationship=Wife
0.44615390914027864 -0.9160098190960624 relationship=Own-child
0.12342217988609949 0.27373078276542717 relationship=Husband
-0.23090803701328988 -0.05213133021164351 relationship=Not-in-family
0.9839917661810298 -0.44026645496234273 relationship=Other-relative
-0.4647317204492645 0.4359389737660295 relationship=Unmarried
-0.3110178379218589 0.27953930731185683 race=White
0.9640472791986219 -0.2794276903357278 race=Asian-Pac-Islander
0.49448658108208243 0.861734924078204 race=Amer-Indian-Eskimo
0.012626494376969832 -0.1933754405188577 race=Other
0.8492162318616354 0.01623477291179598 race=Black
-0.35242217720216273 0.5042634885235973 sex
-0.3866908735488177 0.6440301667296999 capital-gain
0.7494635643494063 0.7348824911056369 capital-loss
0.7580260106342236 1.0925797803795767E-4 hours-per-week
0.3893367637577114 0.09637638752545574 native-country=United-States
-0.5794309332746557 0.9449600305143622 native-country=Cambodia
-0.9638054910048739 0.6045389560348748 native-country=England
-0.3504313448449432 0.5147908295056609 native-country=Puerto-Rico
-0.3966025757727727 -0.532584360290524 native-country=Canada
-0.312709737304915 0.5382300565184401 native-country=Germany
-0.003345627726398792 0.7191765514155632 native-country=Outlying-US(Guam-USVI-etc)
-0.9443584544348875 -0.932747437227804 native-country=India
-0.042899531128956836 -0.5366982197477799 native-country=Japan
-0.7503125441849363 0.5056274687924716 native-country=Greece
0.06471800408369743 0.6191658578802643 native-country=South
-0.45655999886610976 -0.3637568798298547 native-country=China
0.43807551396369515 0.5427986785023589 native-country=Cuba
0.6707527721049324 -0.5100535814629803 native-country=Iran
-0.8119662376084849 0.15677085753274933 native-country=Honduras
0.1955495272187373 0.9774816195847122 native-country=Philippines
0.4013976063184459 -0.42538004471058866 native-country=Italy
-0.1895712106432017 0.3309409448726932 native-country=Poland
-0.7150669883198435 0.28458939543090533 native-country=Jamaica
0.0247397522391819 -0.8262112987990364 native-country=Vietnam
0.12391710869556904 0.2520147690959391 native-country=Mexico
-0.5099021644216202 0.05470419454834885 native-country=Portugal
0.5294050655967715 -0.3604572469214611 native-country=Ireland
-0.8256719303204538 0.7296531729817033 native-country=France
0.7853801866625612 -0.09666359397870217 native-country=Dominican-Republic
-0.3109288619375865 -0.35805043634448985 native-country=Laos
0.2753568630109051 0.8190825373694504 native-country=Ecuador
-0.8994141510761138 0.808561435660387 native-country=Taiwan
-0.6239658227973646 -0.6146999603373697 native-country=Haiti
0.6502136495671553 0.6432480119642017 native-country=Columbia
-0.1447974256353619 -0.2517652064614324 native-country=Hungary
-0.03313787483154651 0.6977463096399394 native-country=Guatemala
0.7979907311294105 0.34133925532829235 native-country=Nicaragua
-0.10120605973853891 0.5393541859455859 native-country=Scotland
0.09915867502561326 -0.274444765267305 native-country=Thailand
0.19980333349210389 -0.7411618000885412 native-country=Yugoslavia
0.3826983886581501 -0.6093250349802317 native-country=El-Salvador
-0.5068977903666303 -0.2376685751580927 native-country=Trinadad&Tobago
-0.7795534310922001 0.6130228529922694 native-country=Peru
-0.4337491707681651 0.984231297517385 native-country=Hong
-0.8105465284251683 -0.21558875853615844 native-country=Holand-Netherlands
Hidden Weights:
0.6979334401569353 -0.8006487487180078
-0.7748999301352191 0.3278046475080514
>50K <=50K
Error sum for iteration 100 = 71.85439353601116
Error sum for iteration 200 = 69.40571641153214
Error sum for iteration 300 = 69.38040927394653
Error sum for iteration 400 = 70.38614990413035
Error sum for iteration 500 = 71.11233268352024
Error sum for iteration 600 = 71.29173946439506
Error sum for iteration 700 = 71.15761963561803
Error sum for iteration 800 = 70.87133017681833
Error sum for iteration 900 = 70.51047839482548
Error sum for iteration 1000 = 70.15188561577978
Error sum for iteration 1100 = 69.83497692948697
Error sum for iteration 1200 = 69.55191151804587
Error sum for iteration 1300 = 69.2765106781061
Error sum for iteration 1400 = 68.9811320383035
Error sum for iteration 1500 = 68.65113260107853
Error sum for iteration 1600 = 68.28683791587493
Error sum for iteration 1700 = 67.8930614719487
Error sum for iteration 1800 = 67.47653222639833
Error sum for iteration 1900 = 67.03983145616611
Error sum for iteration 2000 = 66.58632488219631
Error sum for iteration 2100 = 66.12097767231742
Error sum for iteration 2200 = 65.64652675675094
Error sum for iteration 2300 = 65.16220531628453
Error sum for iteration 2400 = 64.67028795292498
Error sum for iteration 2500 = 64.16778615503942
Error sum for iteration 2600 = 63.657458727851846
Error sum for iteration 2700 = 63.14123986477657
Error sum for iteration 2800 = 62.618685910669306
Error sum for iteration 2900 = 62.09019145256702
Error sum for iteration 3000 = 61.55775642175233
Error sum for iteration 3100 = 61.021860760245765
Error sum for iteration 3200 = 60.48578243337568
Error sum for iteration 3300 = 59.951909086717244
Error sum for iteration 3400 = 59.42249050873512
Error sum for iteration 3500 = 58.90000359514018
Error sum for iteration 3600 = 58.38655396030389
Error sum for iteration 3700 = 57.884057508937616
Error sum for iteration 3800 = 57.39411655538742
Error sum for iteration 3900 = 56.91848069951196
Error sum for iteration 4000 = 56.45693718334437
Error sum for iteration 4100 = 56.00920979221473
Error sum for iteration 4200 = 55.5754979602154
Error sum for iteration 4300 = 55.15620899496027
Error sum for iteration 4400 = 54.75121810761164
Error sum for iteration 4500 = 54.35975680939848
Error sum for iteration 4600 = 53.981651192270114
Error sum for iteration 4700 = 53.61630611391333
Error sum for iteration 4800 = 53.26375980956466
Error sum for iteration 4900 = 52.92404245558869
Error sum for iteration 5000 = 52.59574029509931
Error sum for iteration 5100 = 52.27903164330243
Error sum for iteration 5200 = 51.97294108636041
Error sum for iteration 5300 = 51.67749179286898
Error sum for iteration 5400 = 51.392138014274536
Error sum for iteration 5500 = 51.11737238507444
Error sum for iteration 5600 = 50.85278277051546
Error sum for iteration 5700 = 50.59781203125867
Error sum for iteration 5800 = 50.35227159657289
Error sum for iteration 5900 = 50.11603302711025
Error sum for iteration 6000 = 49.89064617908282
Options: -X 4 -W BackPropagation -P "M 0.0001 0.1 10"
Cross-validated Parameter selection.
Classifier: BackPropagation
Cross-validation Parameter: '-M' ranged from 1.0E-4 to 0.1 with 10.0 steps
Classifier Options: -M 0.0445 -I 6000 -E 0.0112 -S 1772149464 -H 0
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772149464
-H 2
-M 0.0445
Input Weights:
-0.7579673944270239 -3.8942689514021582 age
-1.4660486955447116 0.05944028722311756 workclass=Private
-1.3860700675620528 4.685947755657069 workclass=Self-emp-not-inc
0.3647966519840663 1.234956314396498 workclass=Self-emp-inc
0.8139294777203699 0.03860603393165971 workclass=Federal-gov
-3.0859192411434084 -3.184218599436781 workclass=Local-gov
-0.31302732837638675 1.7955984246905572 workclass=State-gov
0.39623561443033667 1.0343110906518183 workclass=Without-pay
0.7478688020923139 -0.09072302703055882 workclass=Never-worked
-1.1436250501478955 -1.587405578496293 fnlwgt
-0.9391840395694953 -2.0152268795963844 education=Bachelors
0.08973442900914917 1.6625262641963776 education=Some-college
-2.6377446455242315 1.8419507544755216 education=11th
0.2495469155259269 1.5133501820007076 education=HS-grad
4.17370143353779 -0.12455630802615186 education=Prof-school
0.10444014459507613 0.5343017385356879 education=Assoc-acdm
0.13674794376081012 -0.7526934854693809 education=Assoc-voc
-1.3475765341259758 0.19157164419185357 education=9th
2.3515818597932987 1.2582258325658011 education=7th-8th
0.7081861123383729 -3.8794005312671067 education=12th
-0.3284372466875369 1.7211864432193493 education=Masters
-1.5655348544051393 1.680924249041166 education=1st-4th
-1.8036742377006156 2.7599386330497744 education=10th
1.234939287967495 0.208335689644246 education=Doctorate
-2.954430879301381 0.5708518194231561 education=5th-6th
0.03606196857150373 0.6564957494324837 education=Preschool
2.9137032808911547 -1.0910037551746214 education-num
2.891866696044078 -1.6434297189744616 marital-status=Married-civ-spouse
-1.2702859386967733 -0.631240267527214 marital-status=Divorced
-0.23072571037020045 3.508478826859486 marital-status=Never-married
-1.14969967209353 1.3585367084739093 marital-status=Separated
-2.034375576880874 0.6165398390690455 marital-status=Widowed
-0.7286107771363763 -0.05581302050070248 marital-status=Married-spouse-absent
0.061765406365680516 0.42507684705482845 marital-status=Married-AF-spouse
0.6283543189109467 2.0637900459758294 occupation=Tech-support
-0.6338044966529045 -2.0399955241442664 occupation=Craft-repair
-0.4318236849277635 -0.2484287609157498 occupation=Other-service
0.39119932454998385 1.6492649434020885 occupation=Sales
-0.5870674447642162 -3.745920539097041 occupation=Exec-managerial
0.5581456348047985 2.6209292857602944 occupation=Prof-specialty
-1.9861539245572457 0.60160915858577 occupation=Handlers-cleaners
0.026520644971929335 -0.2988351907285182 occupation=Machine-op-inspct
-0.3858841773465523 -0.9467711674028393 occupation=Adm-clerical
-0.3657801525820341 1.6638044315574998 occupation=Farming-fishing
-0.6621991727999033 3.3285600094240886 occupation=Transport-moving
-0.20844439094939235 -0.3091679282494154 occupation=Priv-house-serv
-1.1036992024233594 -2.2403267495055883 occupation=Protective-serv
0.1231193973799271 -0.05274505671243659 occupation=Armed-Forces
-0.713836007837438 0.4743266707842345 relationship=Wife
-2.108298396974862 2.1995675321695005 relationship=Own-child
0.8243295774987164 -1.245790044112691 relationship=Husband
0.14665266571411767 -1.400712592047402 relationship=Not-in-family
1.098253821412155 1.273071967097364 relationship=Other-relative
-0.7525286595691281 1.1441551933338872 relationship=Unmarried
2.0549874013113696 2.1949601253271136 race=White
-0.3779956091249917 -1.2245691620536894 race=Asian-Pac-Islander
-0.7607746404668073 2.1062369798245277 race=Amer-Indian-Eskimo
-1.2674200620260676 0.39632607429802147 race=Other
0.294775036982357 0.20505451738231203 race=Black
-2.5302996359347643 -2.0417664485095313 sex
1.4889348780146148 1.4460611964264682 capital-gain
3.07422960065406 1.5011453001004629 capital-loss
0.4435048272938647 -1.6021283461044944 hours-per-week
-0.7540385691217317 0.331760394857837 native-country=United-States
4.564600572425523 0.9779960722579536 native-country=Cambodia
-1.2000860834094624 0.8581602019193582 native-country=England
-2.2905936783589937 1.0886467811109042 native-country=Puerto-Rico
1.3511692639375434 -0.5193995493954795 native-country=Canada
-0.8405928212307979 0.9551814500173973 native-country=Germany
-0.1622522909511435 0.9494306022872511 native-country=Outlying-US(Guam-USVI-etc)
0.8254390281863314 -1.752563803743876 native-country=India
-0.20180619435370076 -0.30644416887616943 native-country=Japan
-0.909219207409639 0.7358815196641594 native-country=Greece
1.166257817427049 0.2869201778499817 native-country=South
-0.6154666620908273 -0.133502828958241 native-country=China
-2.3677534924261843 2.2398200974711013 native-country=Cuba
0.08377158429651928 -0.22480104026861578 native-country=Iran
-0.7542961044811755 0.3335787584327663 native-country=Honduras
-0.8018280586337435 1.5528162301033024 native-country=Philippines
0.2516968885394947 -0.19532919660982964 native-country=Italy
-2.178612283127199 1.2689701965806195 native-country=Poland
-0.8901830080496702 0.5203188879922617 native-country=Jamaica
-0.13416691098555902 -0.5959572479273486 native-country=Vietnam
0.7245719553063906 0.35434685912314173 native-country=Mexico
-2.2719116000367503 0.9049396724609259 native-country=Portugal
0.37049840237199655 -0.1302031960498411 native-country=Ireland
-0.9678827171004122 0.9596239521996209 native-country=France
0.6426612889166678 0.132582408291572 native-country=Dominican-Republic
-1.4826402861064207 0.1141856724519001 native-country=Laos
-2.0287220541602147 1.6787114876894595 native-country=Ecuador
0.3819172971685705 0.37168815230555485 native-country=Taiwan
-0.7772051353625796 -0.38548947071914286 native-country=Haiti
0.25903379133233134 0.9248311704017432 native-country=Columbia
-0.3037040888601394 -0.021511155589800587 native-country=Hungary
-0.19204453805629082 0.9280003605116273 native-country=Guatemala
0.6390840679047078 0.5715933061999362 native-country=Nicaragua
-0.2601127229632771 0.7696082368172737 native-country=Scotland
-0.2183119460298554 -0.011317849071912774 native-country=Thailand
0.040896670267365494 -0.5109077492168533 native-country=Yugoslavia
0.21344095576480293 -0.37358146315060853 native-country=El-Salvador
-0.665804453591333 -0.00741452428645534 native-country=Trinadad&Tobago
-0.9384600943169028 0.8432769038639573 native-country=Peru
-0.5926558339928887 1.214485348388966 native-country=Hong
-0.969453191649871 0.014665292335479845 native-country=Holand-Netherlands
Hidden Weights:
6.159383623739353 -6.159383617063039
-4.4698062737954505 4.469806266664962
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 472 91.6505 %
Incorrectly Classified Instances 43 8.3495 %
Mean absolute error 0.0835
Root mean squared error 0.289
Relative absolute error 24.1791 %
Root relative squared error 69.6004 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
84 30 | a = >50K
13 388 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13084 80.3636 %
Incorrectly Classified Instances 3197 19.6364 %
Mean absolute error 0.1964
Root mean squared error 0.4431
Relative absolute error 55.5371 %
Root relative squared error 104.2691 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
1827 2019 | a = >50K
1178 11257 | b = <=50K
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