Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 6000 -E 0.01 -S 1669713379 -H 2 -M 0.01 Input Weights: 0.0 0.0 age 0.0 0.0 workclass=Private 0.0 0.0 workclass=Self-emp-not-inc 0.0 0.0 workclass=Self-emp-inc 0.0 0.0 workclass=Federal-gov 0.0 0.0 workclass=Local-gov 0.0 0.0 workclass=State-gov 0.0 0.0 workclass=Without-pay 0.0 0.0 workclass=Never-worked 0.0 0.0 fnlwgt 0.0 0.0 education=Bachelors 0.0 0.0 education=Some-college 0.0 0.0 education=11th 0.0 0.0 education=HS-grad 0.0 0.0 education=Prof-school 0.0 0.0 education=Assoc-acdm 0.0 0.0 education=Assoc-voc 0.0 0.0 education=9th 0.0 0.0 education=7th-8th 0.0 0.0 education=12th 0.0 0.0 education=Masters 0.0 0.0 education=1st-4th 0.0 0.0 education=10th 0.0 0.0 education=Doctorate 0.0 0.0 education=5th-6th 0.0 0.0 education=Preschool 0.0 0.0 education-num 0.0 0.0 marital-status=Married-civ-spouse 0.0 0.0 marital-status=Divorced 0.0 0.0 marital-status=Never-married 0.0 0.0 marital-status=Separated 0.0 0.0 marital-status=Widowed 0.0 0.0 marital-status=Married-spouse-absent 0.0 0.0 marital-status=Married-AF-spouse 0.0 0.0 occupation=Tech-support 0.0 0.0 occupation=Craft-repair 0.0 0.0 occupation=Other-service 0.0 0.0 occupation=Sales 0.0 0.0 occupation=Exec-managerial 0.0 0.0 occupation=Prof-specialty 0.0 0.0 occupation=Handlers-cleaners 0.0 0.0 occupation=Machine-op-inspct 0.0 0.0 occupation=Adm-clerical 0.0 0.0 occupation=Farming-fishing 0.0 0.0 occupation=Transport-moving 0.0 0.0 occupation=Priv-house-serv 0.0 0.0 occupation=Protective-serv 0.0 0.0 occupation=Armed-Forces 0.0 0.0 relationship=Wife 0.0 0.0 relationship=Own-child 0.0 0.0 relationship=Husband 0.0 0.0 relationship=Not-in-family 0.0 0.0 relationship=Other-relative 0.0 0.0 relationship=Unmarried 0.0 0.0 race=White 0.0 0.0 race=Asian-Pac-Islander 0.0 0.0 race=Amer-Indian-Eskimo 0.0 0.0 race=Other 0.0 0.0 race=Black 0.0 0.0 sex 0.0 0.0 capital-gain 0.0 0.0 capital-loss 0.0 0.0 hours-per-week 0.0 0.0 native-country=United-States 0.0 0.0 native-country=Cambodia 0.0 0.0 native-country=England 0.0 0.0 native-country=Puerto-Rico 0.0 0.0 native-country=Canada 0.0 0.0 native-country=Germany 0.0 0.0 native-country=Outlying-US(Guam-USVI-etc) 0.0 0.0 native-country=India 0.0 0.0 native-country=Japan 0.0 0.0 native-country=Greece 0.0 0.0 native-country=South 0.0 0.0 native-country=China 0.0 0.0 native-country=Cuba 0.0 0.0 native-country=Iran 0.0 0.0 native-country=Honduras 0.0 0.0 native-country=Philippines 0.0 0.0 native-country=Italy 0.0 0.0 native-country=Poland 0.0 0.0 native-country=Jamaica 0.0 0.0 native-country=Vietnam 0.0 0.0 native-country=Mexico 0.0 0.0 native-country=Portugal 0.0 0.0 native-country=Ireland 0.0 0.0 native-country=France 0.0 0.0 native-country=Dominican-Republic 0.0 0.0 native-country=Laos 0.0 0.0 native-country=Ecuador 0.0 0.0 native-country=Taiwan 0.0 0.0 native-country=Haiti 0.0 0.0 native-country=Columbia 0.0 0.0 native-country=Hungary 0.0 0.0 native-country=Guatemala 0.0 0.0 native-country=Nicaragua 0.0 0.0 native-country=Scotland 0.0 0.0 native-country=Thailand 0.0 0.0 native-country=Yugoslavia 0.0 0.0 native-country=El-Salvador 0.0 0.0 native-country=Trinadad&Tobago 0.0 0.0 native-country=Peru 0.0 0.0 native-country=Hong 0.0 0.0 native-country=Holand-Netherlands Hidden Weights: 0.0 0.0 0.0 0.0 >50K <=50K Error sum for iteration 100 = 836.734898356481 Error sum for iteration 200 = 828.8561672538526 Error sum for iteration 300 = 821.6521846454439 Error sum for iteration 400 = 816.4805621027697 Error sum for iteration 500 = 812.0556071444946 Error sum for iteration 600 = 807.5593510173541 Error sum for iteration 700 = 802.4356032776208 Error sum for iteration 800 = 796.6343926772261 Error sum for iteration 900 = 790.379148064845 Error sum for iteration 1000 = 783.8875469751927 Error sum for iteration 1100 = 777.3272106991765 Error sum for iteration 1200 = 770.8263274527734 Error sum for iteration 1300 = 764.4866357061122 Error sum for iteration 1400 = 758.3809053834626 Error sum for iteration 1500 = 752.5594150075863 Error sum for iteration 1600 = 747.0527001166137 Error sum for iteration 1700 = 741.8765023331092 Error sum for iteration 1800 = 737.0308121477002 Error sum for iteration 1900 = 732.5068752813503 Error sum for iteration 2000 = 728.2905909453774 Error sum for iteration 2100 = 724.3651702529077 Error sum for iteration 2200 = 720.7107075146671 Error sum for iteration 2300 = 717.3030266035236 Error sum for iteration 2400 = 714.1213274229526 Error sum for iteration 2500 = 711.1476501643224 Error sum for iteration 2600 = 708.3646934958778 Error sum for iteration 2700 = 705.7560152695985 Error sum for iteration 2800 = 703.3068878220786 Error sum for iteration 2900 = 701.0039428412965 Error sum for iteration 3000 = 698.8356071431372 Error sum for iteration 3100 = 696.7907769819037 Error sum for iteration 3200 = 694.8598433031997 Error sum for iteration 3300 = 693.0339241937007 Error sum for iteration 3400 = 691.3044128670485 Error sum for iteration 3500 = 689.6640785631225 Error sum for iteration 3600 = 688.1066882446837 Error sum for iteration 3700 = 686.6265065267453 Error sum for iteration 3800 = 685.2181102966881 Error sum for iteration 3900 = 683.8767417354455 Error sum for iteration 4000 = 682.5978422978046 Error sum for iteration 4100 = 681.3771237946175 Error sum for iteration 4200 = 680.2109197704041 Error sum for iteration 4300 = 679.0957269170823 Error sum for iteration 4400 = 678.0284738289322 Error sum for iteration 4500 = 677.0063063731094 Error sum for iteration 4600 = 676.0265615619882 Error sum for iteration 4700 = 675.0867838110429 Error sum for iteration 4800 = 674.18460318454 Error sum for iteration 4900 = 673.3178281294432 Error sum for iteration 5000 = 672.4846304121471 Error sum for iteration 5100 = 671.6831887120304 Error sum for iteration 5200 = 670.9117093951234 Error sum for iteration 5300 = 670.1686918924241 Error sum for iteration 5400 = 669.4528308065586 Error sum for iteration 5500 = 668.7627021111059 Error sum for iteration 5600 = 668.097039026549 Error sum for iteration 5700 = 667.454588862578 Error sum for iteration 5800 = 666.8343119481799 Error sum for iteration 5900 = 666.2352806343872 Error sum for iteration 6000 = 665.6564385915876 Options: -I 6000 -E 0.01 -S 1669713379 -H 2 -M 0.01 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 6000 -E 0.01 -S 1669713379 -H 2 -M 0.01 Input Weights: -1.5346437017745271 -1.5346437017745271 age 0.5048165482723787 0.5048165482723787 workclass=Private 1.27626422029688 1.27626422029688 workclass=Self-emp-not-inc -0.1394373328334202 -0.1394373328334202 workclass=Self-emp-inc -0.16305400038544177 -0.16305400038544177 workclass=Federal-gov 0.8930569343621066 0.8930569343621066 workclass=Local-gov 0.6555806173747896 0.6555806173747896 workclass=State-gov 0.22054364336826038 0.22054364336826038 workclass=Without-pay 0.21651804203042982 0.21651804203042982 workclass=Never-worked -0.1669854818892123 -0.1669854818892123 fnlwgt -0.18679143658933878 -0.18679143658933878 education=Bachelors 0.30386969160802846 0.30386969160802846 education=Some-college 0.755635185819786 0.755635185819786 education=11th 0.11505462416478889 0.11505462416478889 education=HS-grad -0.9324273076887345 -0.9324273076887345 education=Prof-school -0.15756556646079029 -0.15756556646079029 education=Assoc-acdm 0.10441888125649637 0.10441888125649637 education=Assoc-voc 0.9251881247869927 0.9251881247869927 education=9th 0.3930624149799684 0.3930624149799684 education=7th-8th 2.286541210187232 2.286541210187232 education=12th -0.3034976013400869 -0.3034976013400869 education=Masters 2.8370636194239522 2.8370636194239522 education=1st-4th 0.7130998499799345 0.7130998499799345 education=10th -1.2455674633503016 -1.2455674633503016 education=Doctorate -1.0205130141916299 -1.0205130141916299 education=5th-6th 0.6088617961422554 0.6088617961422554 education=Preschool -2.364803153160923 -2.364803153160923 education-num -2.1472367918532607 -2.1472367918532607 marital-status=Married-civ-spouse 0.8693647663048358 0.8693647663048358 marital-status=Divorced 1.1085411208135694 1.1085411208135694 marital-status=Never-married 0.3999175305920924 0.3999175305920924 marital-status=Separated 0.5029101733145067 0.5029101733145067 marital-status=Widowed 1.6275618486230305 1.6275618486230305 marital-status=Married-spouse-absent 0.8867119826614742 0.8867119826614742 marital-status=Married-AF-spouse -0.5345004378094231 -0.5345004378094231 occupation=Tech-support 0.05687064977579741 0.05687064977579741 occupation=Craft-repair 0.6780752874497554 0.6780752874497554 occupation=Other-service -0.042265929262910173 -0.042265929262910173 occupation=Sales -0.6556561917356608 -0.6556561917356608 occupation=Exec-managerial -0.03212111976204478 -0.03212111976204478 occupation=Prof-specialty 0.7238374374920353 0.7238374374920353 occupation=Handlers-cleaners 0.5233883276719714 0.5233883276719714 occupation=Machine-op-inspct 0.45673281822986816 0.45673281822986816 occupation=Adm-clerical 1.5858536532692662 1.5858536532692662 occupation=Farming-fishing 0.4394769150972973 0.4394769150972973 occupation=Transport-moving 1.176806090103002 1.176806090103002 occupation=Priv-house-serv -0.214185165761927 -0.214185165761927 occupation=Protective-serv 0.6010845899109373 0.6010845899109373 occupation=Armed-Forces -0.2662556659667489 -0.2662556659667489 relationship=Wife 1.229692080311552 1.229692080311552 relationship=Own-child 0.9653731357980793 0.9653731357980793 relationship=Husband -0.008606112604085179 -0.008606112604085179 relationship=Not-in-family 0.7355396574228584 0.7355396574228584 relationship=Other-relative 0.37550949346365226 0.37550949346365226 relationship=Unmarried -0.3616528303310569 -0.3616528303310569 race=White -0.7469964473390721 -0.7469964473390721 race=Asian-Pac-Islander 0.7701712492207627 0.7701712492207627 race=Amer-Indian-Eskimo 3.401755155475455 3.401755155475455 race=Other -0.24854258063100065 -0.24854258063100065 race=Black -0.2967616080317742 -0.2967616080317742 sex -5.896160952517356 -5.896160952517356 capital-gain -2.2072894831672794 -2.2072894831672794 capital-loss -3.0515334302095303 -3.0515334302095303 hours-per-week -0.3977767771130313 -0.3977767771130313 native-country=United-States -3.5171115424874317 -3.5171115424874317 native-country=Cambodia 0.6673023588625572 0.6673023588625572 native-country=England -0.2882292769249197 -0.2882292769249197 native-country=Puerto-Rico -0.9307589867020165 -0.9307589867020165 native-country=Canada -0.41018906149246204 -0.41018906149246204 native-country=Germany 0.5850561700964777 0.5850561700964777 native-country=Outlying-US(Guam-USVI-etc) 2.114491369049487 2.114491369049487 native-country=India 2.572524421880324 2.572524421880324 native-country=Japan 1.7779855530267603 1.7779855530267603 native-country=Greece 0.23405740345036807 0.23405740345036807 native-country=South 1.1062079805164984 1.1062079805164984 native-country=China 1.2305492647963696 1.2305492647963696 native-country=Cuba -2.4306606461105456 -2.4306606461105456 native-country=Iran 0.8709953987732866 0.8709953987732866 native-country=Honduras -0.5665326453605241 -0.5665326453605241 native-country=Philippines -1.7061096833949714 -1.7061096833949714 native-country=Italy 0.9737572658481608 0.9737572658481608 native-country=Poland -2.1864127097903174 -2.1864127097903174 native-country=Jamaica 0.6548848049304046 0.6548848049304046 native-country=Vietnam 0.881123827356031 0.881123827356031 native-country=Mexico -0.8507660192061093 -0.8507660192061093 native-country=Portugal -1.5994884753134446 -1.5994884753134446 native-country=Ireland -0.5466915288668288 -0.5466915288668288 native-country=France -0.962240764874107 -0.962240764874107 native-country=Dominican-Republic 1.5801818448229976 1.5801818448229976 native-country=Laos 0.510573406137879 0.510573406137879 native-country=Ecuador -0.09983007173330495 -0.09983007173330495 native-country=Taiwan 1.662085467608578 1.662085467608578 native-country=Haiti 3.8750407947091365 3.8750407947091365 native-country=Columbia 0.21651804203042982 0.21651804203042982 native-country=Hungary -1.4668727443786886 -1.4668727443786886 native-country=Guatemala 1.599420087479446 1.599420087479446 native-country=Nicaragua 0.48982320266446117 0.48982320266446117 native-country=Scotland 1.4074945078182677 1.4074945078182677 native-country=Thailand 1.1226554890028906 1.1226554890028906 native-country=Yugoslavia 0.4467858694559647 0.4467858694559647 native-country=El-Salvador 1.0466737432445303 1.0466737432445303 native-country=Trinadad&Tobago 0.4913517801737612 0.4913517801737612 native-country=Peru 0.23499689747097607 0.23499689747097607 native-country=Hong 0.21651804203042982 0.21651804203042982 native-country=Holand-Netherlands Hidden Weights: -2.038224075604783 2.0382240756047834 -2.038224075604783 2.0382240756047834 >50K <=50K === Error on training data === Correctly Classified Instances 4230 84.347 % Incorrectly Classified Instances 785 15.653 % Mean absolute error 0.2693 Root mean squared error 0.3354 Relative absolute error 72.9413 % Root relative squared error 78.0579 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 711 514 | a = >50K 271 3519 | b = <=50K === Error on test data === Correctly Classified Instances 13597 83.5145 % Incorrectly Classified Instances 2684 16.4855 % Mean absolute error 0.275 Root mean squared error 0.3436 Relative absolute error 75.3267 % Root relative squared error 80.8779 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2149 1697 | a = >50K 987 11448 | b = <=50K