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 -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 = 55.00359406810891 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 -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 = 55.98444818653334 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