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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 113771050
-H 2
-M 0.5
Input Weights:
-0.10431553487958856 -0.8714897639795931
-0.8802518219092454 -0.3686022483654656
0.8291507552725268 -0.06594402779381991
-0.4947439125896511 0.6740090933454146
-0.49952778074144866 -0.814574237991009
0.3320918188572639 0.3894807802067495
0.3110966223591194 0.17134513347320723
-0.6126618802381059 -0.25416508781905156
-0.32082771199626436 -0.33285912478173474
0.9296388795927453 -0.9334142110668298
-0.32654045031705037 0.31187088691750464
0.5069745933899641 -0.6246754560168655
-0.09873670842772642 0.1407160815081856
0.6655367946082527 -0.793980871693593
-0.4010788117162152 -0.8854943807824338
0.2839897934178983 0.7583953559859105
0.16666196733990302 0.08359042939052963
0.16756276917500212 -0.8115224513092301
-0.5833047289563831 0.7014128434058842
0.050216522206464775 0.10556358971079827
-0.7150914175196337 0.037869637080155893
0.23565632379844903 0.2817934010566687
0.006980898776631106 0.05150825909329537
-0.44195641058267743 0.045991516427371204
0.18728276589763349 -0.4759387940638198
-0.6965291014469124 -0.19966939042569654
-0.2044329470485975 -0.2541082706852258
0.18993888913064483 -0.8689761019328464
0.0078727125113216 0.21541614218227068
-0.2132169679147784 -0.2590848586862151
0.6537120030576695 0.27207261141770367
0.03807597111792904 -0.8355526308952543
0.6246987202880689 -0.8427594913175358
0.35605229381419656 -0.7202405770396001
0.31725102693344653 0.07076638245854139
-0.5686037813821012 0.9480352679643929
-0.50542963791036 0.7862421373886661
0.17237714354664968 -0.2800800314472498
0.9252129220807239 0.07349193367034945
0.5831410419303222 -0.9202327945944886
0.9454345849779491 0.1631823251702238
0.8155456011046156 0.8714044418468041
-0.5479462984040477 0.7311530388390672
-0.18490822334519685 -0.3215572244834837
0.6075501161128152 -0.8221963619496269
0.009832585866385912 0.42612322056979535
-0.8310546151170515 -0.5267603808862709
-0.7145413883896121 -0.6677655456081364
0.3699020348233497 0.5182102437686462
0.31764901580550164 0.6574581581128172
-0.18161555954754638 -0.8357609679742506
-0.6944379833668306 -0.819944392160376
0.1408475460960279 0.9175781652145474
-0.27689953717223226 -0.27069972627569294
-0.07728680716784209 -0.5617009571363376
0.17615431123700764 0.8334449435324094
-0.22793629389868908 -0.40072212791145856
-0.5330331341328298 0.0419845216948318
-0.4290243440977719 0.7951386505300111
0.007431456444408457 0.8329991852905556
-0.227555676174378 -0.06280680504357439
-0.37843246164422895 -0.6273700885409528
0.13985736707838536 0.02965502416679322
0.2074886057641554 -0.492787723023578
0.893672246234746 0.131224823753185
0.7084291412600983 0.0849701300422796
0.7032868408850277 0.9446290209303123
-0.7678242814228857 0.46290818006088075
0.31177165802913276 0.16866911180948807
0.1636269069588021 -0.6111623122233538
-0.6283957336028709 0.36038350976779454
-0.21498685998985212 0.48528277910017703
-0.04097794350391237 -0.49963394998689115
-0.35487707864187823 -0.4779556382253216
-0.5249685717881665 0.18720329590780715
0.9390299062072283 0.36189774847060385
0.5781949523110748 0.7062139845695135
-0.9466212220690176 0.8074768954520188
-0.6324951802169037 -0.23422250859139715
0.6230905964208999 -0.9312023328782759
-0.7238485507719716 0.957851227258212
-0.29902826110770775 0.8058059339342623
0.6757624053827125 0.8078787318265759
-0.42652005724444075 0.8682506891867117
0.7464175735309033 -0.6929925694058576
0.31889841405647745 -0.7607148861611999
-0.9450982856983563 0.08394676072007279
-0.8027830077917246 -0.833560650829344
0.9104322631168784 -0.26376756115043065
-0.473298480633515 -0.9953067495300225
-0.06454413139342674 0.5061971287336702
0.8267746588496334 0.4657579192167296
0.49474082258745344 -0.4955888598066269
-0.9794907435153548 0.42355312648558585
-0.6416372429374722 -0.554671543434073
0.5665827581131611 0.4202002715684483
-0.9835151780303308 -0.39732252672808266
-0.9524699266536198 0.8953363938763623
0.7930284289327447 -0.004144678278965586
0.33989573262400374 -0.1363503330219642
0.7921180712920761 -0.8929559426104929
-0.26250200660450296 -0.6755559804927007
0.8200173561312962 0.4695465892446842
-0.1596891739602242 -0.27028877339290824
Hidden Weights:
0.5510175437165308 0.08432799351263465
-0.26627307594772986 -0.351597295213786
Options: -E 0.1 -M 0.5
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 113771050
-H 2
-M 0.5
Input Weights:
-0.10431553487958856 -0.8714897639795931
-0.8802518219092454 -0.3686022483654656
0.8291507552725268 -0.06594402779381991
-0.4947439125896511 0.6740090933454146
-0.49952778074144866 -0.814574237991009
0.3320918188572639 0.3894807802067495
0.3110966223591194 0.17134513347320723
-0.6126618802381059 -0.25416508781905156
-0.32082771199626436 -0.33285912478173474
0.9296388795927453 -0.9334142110668298
-0.32654045031705037 0.31187088691750464
0.5069745933899641 -0.6246754560168655
-0.09873670842772642 0.1407160815081856
0.6655367946082527 -0.793980871693593
-0.4010788117162152 -0.8854943807824338
0.2839897934178983 0.7583953559859105
0.16666196733990302 0.08359042939052963
0.16756276917500212 -0.8115224513092301
-0.5833047289563831 0.7014128434058842
0.050216522206464775 0.10556358971079827
-0.7150914175196337 0.037869637080155893
0.23565632379844903 0.2817934010566687
0.006980898776631106 0.05150825909329537
-0.44195641058267743 0.045991516427371204
0.18728276589763349 -0.4759387940638198
-0.6965291014469124 -0.19966939042569654
-0.2044329470485975 -0.2541082706852258
0.18993888913064483 -0.8689761019328464
0.0078727125113216 0.21541614218227068
-0.2132169679147784 -0.2590848586862151
0.6537120030576695 0.27207261141770367
0.03807597111792904 -0.8355526308952543
0.6246987202880689 -0.8427594913175358
0.35605229381419656 -0.7202405770396001
0.31725102693344653 0.07076638245854139
-0.5686037813821012 0.9480352679643929
-0.50542963791036 0.7862421373886661
0.17237714354664968 -0.2800800314472498
0.9252129220807239 0.07349193367034945
0.5831410419303222 -0.9202327945944886
0.9454345849779491 0.1631823251702238
0.8155456011046156 0.8714044418468041
-0.5479462984040477 0.7311530388390672
-0.18490822334519685 -0.3215572244834837
0.6075501161128152 -0.8221963619496269
0.009832585866385912 0.42612322056979535
-0.8310546151170515 -0.5267603808862709
-0.7145413883896121 -0.6677655456081364
0.3699020348233497 0.5182102437686462
0.31764901580550164 0.6574581581128172
-0.18161555954754638 -0.8357609679742506
-0.6944379833668306 -0.819944392160376
0.1408475460960279 0.9175781652145474
-0.27689953717223226 -0.27069972627569294
-0.07728680716784209 -0.5617009571363376
0.17615431123700764 0.8334449435324094
-0.22793629389868908 -0.40072212791145856
-0.5330331341328298 0.0419845216948318
-0.4290243440977719 0.7951386505300111
0.007431456444408457 0.8329991852905556
-0.227555676174378 -0.06280680504357439
-0.37843246164422895 -0.6273700885409528
0.13985736707838536 0.02965502416679322
0.2074886057641554 -0.492787723023578
0.893672246234746 0.131224823753185
0.7084291412600983 0.0849701300422796
0.7032868408850277 0.9446290209303123
-0.7678242814228857 0.46290818006088075
0.31177165802913276 0.16866911180948807
0.1636269069588021 -0.6111623122233538
-0.6283957336028709 0.36038350976779454
-0.21498685998985212 0.48528277910017703
-0.04097794350391237 -0.49963394998689115
-0.35487707864187823 -0.4779556382253216
-0.5249685717881665 0.18720329590780715
0.9390299062072283 0.36189774847060385
0.5781949523110748 0.7062139845695135
-0.9466212220690176 0.8074768954520188
-0.6324951802169037 -0.23422250859139715
0.6230905964208999 -0.9312023328782759
-0.7238485507719716 0.957851227258212
-0.29902826110770775 0.8058059339342623
0.6757624053827125 0.8078787318265759
-0.42652005724444075 0.8682506891867117
0.7464175735309033 -0.6929925694058576
0.31889841405647745 -0.7607148861611999
-0.9450982856983563 0.08394676072007279
-0.8027830077917246 -0.833560650829344
0.9104322631168784 -0.26376756115043065
-0.473298480633515 -0.9953067495300225
-0.06454413139342674 0.5061971287336702
0.8267746588496334 0.4657579192167296
0.49474082258745344 -0.4955888598066269
-0.9794907435153548 0.42355312648558585
-0.6416372429374722 -0.554671543434073
0.5665827581131611 0.4202002715684483
-0.9835151780303308 -0.39732252672808266
-0.9524699266536198 0.8953363938763623
0.7930284289327447 -0.004144678278965586
0.33989573262400374 -0.1363503330219642
0.7921180712920761 -0.8929559426104929
-0.26250200660450296 -0.6755559804927007
0.8200173561312962 0.4695465892446842
-0.1596891739602242 -0.27028877339290824
Hidden Weights:
-0.10013240674115269 0.52449467242362
-0.26627307594772986 -0.351597295213786
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.3975
Root mean squared error 0.432
Relative absolute error 108.6986 %
Root relative squared error 101.0249 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
0 7841 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12435 76.3774 %
Incorrectly Classified Instances 3846 23.6226 %
Mean absolute error 0.3956
Root mean squared error 0.4298
Relative absolute error 108.9091 %
Root relative squared error 101.1909 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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