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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-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
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