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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.3
-S 63433531
-H 2
-M 0.3
Input Weights:
-0.0746970641554694 -0.47004693975050893
0.08045694789739422 0.16260542284231505
-0.9344465119158869 0.6775478845192637
0.8043770221129993 0.29772999285301194
0.791237261634175 -0.17154390849596002
0.617776994279827 -0.11481083258633751
-0.794907800149196 -0.25353540737927815
-0.3798873045429012 -0.5122271129403468
-0.38508270470695516 -0.8449989876352257
-0.8240454386288045 -0.6080322315028979
0.19245849034099538 -0.6554619640355464
0.19924983537872687 -0.5638459602644845
0.6380040212820435 -0.5677985564870822
0.4123307280971089 -0.5258749949284427
0.5437921184157624 0.39391095418036026
-0.3160002704144542 0.5173578112485682
0.03352752456481345 -0.6351488114194952
-0.7477049386065615 -0.5131664848853523
-0.8879678761117502 -0.11687865915907136
0.2810704932957877 0.517448265347519
0.16995504001375306 0.8063229311107571
0.5138315841072636 0.3893217638563533
-0.8460621460874451 0.10262362202789088
0.4706219229511801 0.12348181844102535
-0.8481965824165631 -0.8837516901384646
-0.14984105479349674 0.5061268977351332
-0.6068939178299226 0.21091667760304111
-0.31534878977804737 0.44633103979450817
0.9843919228326199 0.8507276291983059
-0.04770146102858508 0.9958004682415191
0.8611503615630451 0.6024080258860647
0.35465067199615086 -0.34599322882912786
-0.5611550583957285 0.6204559533906369
-0.14620561927840003 0.5543493363744256
0.9964735863924803 0.7610364748816127
0.3475200368009801 0.30233178508495406
0.8594723620000528 -0.6162037921930199
0.017699385166955794 -0.1407893281811139
0.6148303603703618 0.43406376005960023
-0.1346449748173295 0.8970846060785065
-0.2408313705318199 0.8109670069488493
-0.33866595856073345 -0.3244252582608864
0.9381416060490391 0.048338110475900864
-0.12112372421322348 0.6064975051017143
0.08948930820949119 0.6621565110109566
-0.5127871373299284 0.4003847648720671
0.8777898497404046 -0.6832775428089453
0.09590157352429984 0.8652589670806734
0.5505771656735106 0.3665122351066059
0.6389252819319875 -0.8896401549680553
-0.7841118355824579 0.945270458362452
-0.6645934631969019 -0.12906401970931425
0.22212813162844203 0.170598564294004
-0.711351334917049 0.9089009304863518
0.2127826959421153 -0.7478751273330679
-0.01564163252274353 -0.329002849013347
-0.8498994914688471 -0.6559463033156698
-0.21163890070985603 0.5327570112187106
0.491313177463095 -0.6529972577252949
0.9586484302678167 0.6733837290503379
-0.6851114309220003 0.9868186774270333
-0.22028815453980433 -0.21715710225516993
-0.19187776607205187 -0.7044768799420433
0.27109040058786094 0.9858405904790501
0.6351958252345062 0.9764515187288083
0.05789998903418714 0.3846171515898311
0.5195697025108292 -0.5944772275491839
0.9285898916379924 -0.0010143766388810427
0.32785948296502143 0.5256804961768748
0.32279940623706094 0.3619428896740686
0.18457330104475678 -0.5771029547350859
0.4372345057660407 -0.9246392342765344
0.047393583731405675 -0.3105092484371159
-0.7740384700533662 0.9243703589004588
0.81896367259481 0.012392811888338073
0.6881910915012939 -0.9085258734720874
-0.2299669058741074 0.9676796417221405
-0.6649833435035175 0.22129646583205442
0.8257061862205355 -0.575828739100722
-0.5710596745874996 0.9021083075892615
0.3655775103635135 -0.10704400940909276
0.7873851655768467 0.107471031556162
-0.4273911710665128 -0.2901503132327736
0.8935168183618791 0.5559350852780214
0.21634768277253213 -0.823699746967322
-0.5068989833306097 0.2928355230912807
-0.026100133546254956 -0.7478794976333274
-0.5279341579805916 0.2887428841002808
-0.9039140491246758 0.6004416070045717
0.7719406410987693 0.9156961383081372
-0.7456746404280341 -0.29006224009116677
0.5441667217799526 0.9553485358261744
0.8126443021124838 0.4089506820360802
-0.7270596974376986 -0.3182519796007619
0.3341823569173725 -0.2433484591840691
0.7820143539896267 -0.3664688586405893
0.8468216732060316 -0.567415248469062
0.9247763562805178 -0.7475167441854469
-0.02903138608526823 -0.7986390502013065
0.3486909301840826 -0.3569092740078632
0.38572675215348196 0.6261656286476354
0.5033731837078588 0.5450314212260843
0.9280954421963252 -0.7658521905954814
-0.5265996746881112 -0.8295996647306658
Hidden Weights:
-0.8215061302714146 0.0214960917588225
0.013376624706525009 -0.37625751145343944
Options: -I 1000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.3
-S 63433531
-H 2
-M 0.3
Input Weights:
-0.0746970641554694 -0.47004693975050893
0.08045694789739422 0.16260542284231505
-0.9344465119158869 0.6775478845192637
0.8043770221129993 0.29772999285301194
0.791237261634175 -0.17154390849596002
0.617776994279827 -0.11481083258633751
-0.794907800149196 -0.25353540737927815
-0.3798873045429012 -0.5122271129403468
-0.38508270470695516 -0.8449989876352257
-0.8240454386288045 -0.6080322315028979
0.19245849034099538 -0.6554619640355464
0.19924983537872687 -0.5638459602644845
0.6380040212820435 -0.5677985564870822
0.4123307280971089 -0.5258749949284427
0.5437921184157624 0.39391095418036026
-0.3160002704144542 0.5173578112485682
0.03352752456481345 -0.6351488114194952
-0.7477049386065615 -0.5131664848853523
-0.8879678761117502 -0.11687865915907136
0.2810704932957877 0.517448265347519
0.16995504001375306 0.8063229311107571
0.5138315841072636 0.3893217638563533
-0.8460621460874451 0.10262362202789088
0.4706219229511801 0.12348181844102535
-0.8481965824165631 -0.8837516901384646
-0.14984105479349674 0.5061268977351332
-0.6068939178299226 0.21091667760304111
-0.31534878977804737 0.44633103979450817
0.9843919228326199 0.8507276291983059
-0.04770146102858508 0.9958004682415191
0.8611503615630451 0.6024080258860647
0.35465067199615086 -0.34599322882912786
-0.5611550583957285 0.6204559533906369
-0.14620561927840003 0.5543493363744256
0.9964735863924803 0.7610364748816127
0.3475200368009801 0.30233178508495406
0.8594723620000528 -0.6162037921930199
0.017699385166955794 -0.1407893281811139
0.6148303603703618 0.43406376005960023
-0.1346449748173295 0.8970846060785065
-0.2408313705318199 0.8109670069488493
-0.33866595856073345 -0.3244252582608864
0.9381416060490391 0.048338110475900864
-0.12112372421322348 0.6064975051017143
0.08948930820949119 0.6621565110109566
-0.5127871373299284 0.4003847648720671
0.8777898497404046 -0.6832775428089453
0.09590157352429984 0.8652589670806734
0.5505771656735106 0.3665122351066059
0.6389252819319875 -0.8896401549680553
-0.7841118355824579 0.945270458362452
-0.6645934631969019 -0.12906401970931425
0.22212813162844203 0.170598564294004
-0.711351334917049 0.9089009304863518
0.2127826959421153 -0.7478751273330679
-0.01564163252274353 -0.329002849013347
-0.8498994914688471 -0.6559463033156698
-0.21163890070985603 0.5327570112187106
0.491313177463095 -0.6529972577252949
0.9586484302678167 0.6733837290503379
-0.6851114309220003 0.9868186774270333
-0.22028815453980433 -0.21715710225516993
-0.19187776607205187 -0.7044768799420433
0.27109040058786094 0.9858405904790501
0.6351958252345062 0.9764515187288083
0.05789998903418714 0.3846171515898311
0.5195697025108292 -0.5944772275491839
0.9285898916379924 -0.0010143766388810427
0.32785948296502143 0.5256804961768748
0.32279940623706094 0.3619428896740686
0.18457330104475678 -0.5771029547350859
0.4372345057660407 -0.9246392342765344
0.047393583731405675 -0.3105092484371159
-0.7740384700533662 0.9243703589004588
0.81896367259481 0.012392811888338073
0.6881910915012939 -0.9085258734720874
-0.2299669058741074 0.9676796417221405
-0.6649833435035175 0.22129646583205442
0.8257061862205355 -0.575828739100722
-0.5710596745874996 0.9021083075892615
0.3655775103635135 -0.10704400940909276
0.7873851655768467 0.107471031556162
-0.4273911710665128 -0.2901503132327736
0.8935168183618791 0.5559350852780214
0.21634768277253213 -0.823699746967322
-0.5068989833306097 0.2928355230912807
-0.026100133546254956 -0.7478794976333274
-0.5279341579805916 0.2887428841002808
-0.9039140491246758 0.6004416070045717
0.7719406410987693 0.9156961383081372
-0.7456746404280341 -0.29006224009116677
0.5441667217799526 0.9553485358261744
0.8126443021124838 0.4089506820360802
-0.7270596974376986 -0.3182519796007619
0.3341823569173725 -0.2433484591840691
0.7820143539896267 -0.3664688586405893
0.8468216732060316 -0.567415248469062
0.9247763562805178 -0.7475167441854469
-0.02903138608526823 -0.7986390502013065
0.3486909301840826 -0.3569092740078632
0.38572675215348196 0.6261656286476354
0.5033731837078588 0.5450314212260843
0.9280954421963252 -0.7658521905954814
-0.5265996746881112 -0.8295996647306658
Hidden Weights:
-0.8215061302714146 0.0214960917588225
3.001636444028891 -3.0016364440288905
=== Error on training data ===
Correctly Classified Instances 24791 76.1371 %
Incorrectly Classified Instances 7770 23.8629 %
Mean absolute error 0.3862
Root mean squared error 0.4284
Relative absolute error 105.6256 %
Root relative squared error 100.1905 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
72 7769 | a = >50K
1 24719 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12482 76.6661 %
Incorrectly Classified Instances 3799 23.3339 %
Mean absolute error 0.3838
Root mean squared error 0.4256
Relative absolute error 105.6513 %
Root relative squared error 100.2003 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
47 3799 | a = >50K
0 12435 | b = <=50K
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