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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 109069498
-H 2
-M 0.5
Input Weights:
-0.3381932304698494 0.27293425555984996
0.38366043130032823 0.8231630812653203
-0.36213578861017703 -0.9572638965286644
-0.47368012990985764 0.9704394769187168
0.6016438010972285 0.06925312127360717
-0.9016265706616307 -0.045905469552799394
0.4902554677560227 -0.12656424181236536
-0.29739067979217504 -0.2496694395056378
0.9275697901656887 0.40699490136342087
-0.36333137844952823 -0.8769985655599002
0.13529544898095258 0.3275811693145947
-0.05868848551134742 0.4755539819828165
0.5128978917964888 0.9237730479002164
0.6274503682686854 0.8045122452667615
0.06655216597500968 0.9028081526130824
-0.6178739522377679 0.7239287597647643
-0.34476776647514984 0.03537156796418417
-0.5086447814844981 -0.8613085220301095
-0.7140972648490285 -0.15439007583867248
-0.42613653534002394 -0.3842850554099255
0.775296645827108 -0.5603005744762501
-0.4257816385088238 0.7440557903259788
-0.05761177234750381 -0.1746633971882423
0.7406183231844563 -0.7101690232530047
-0.8633909833518134 -0.8262286194852531
-0.22084682958578505 0.3351880948376351
-0.03094320077505941 0.245540964239658
-0.3559406498438964 0.03192864157720843
0.31811766868139046 -0.6852816715498176
-0.5525721535328973 0.3829253148497078
-0.6584874345184051 -0.5981620642973944
-0.44919144510517683 -0.5348471227335523
0.7519947335321786 0.3240339993559269
-0.8222259634108864 0.6976744610188206
-0.9942830969573127 0.19739842645020955
-0.1529148191114802 -0.29925769427576676
0.4063593934034244 -0.370032761150191
0.9007178577823021 0.6464891361418041
-0.8660833661446106 -0.6833485530673198
-0.4365077283012595 -0.9805453023526949
-0.3522181168259708 -0.6738269035998572
-0.1610243321948186 -0.26788312108901846
0.16640185489382486 0.6347206798450116
-0.5189723313122587 0.516128663062928
-0.5390018122246383 0.8354382483545792
0.986909260539377 -0.5326938741493714
0.08312390570283767 -0.795423487493977
-0.41489562531792523 -0.8114773873230572
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-0.56850914544474 0.8702389624179294
0.5230327610157219 0.41583582422513343
0.4175674690199045 -0.8121015270595451
0.22897714982772444 0.7696828003042471
-0.7858219830490281 -0.512964413116537
0.7303204021422196 -0.14140398874153504
0.34739930460886836 0.37264704718839803
0.18310395167999527 0.41827055954139203
-0.5024452894548073 -0.3851481217771904
-0.14441435216264353 -0.9473572274161255
-0.060993956781210557 -0.08242074009958622
-0.8611364728241575 -0.5127441949929259
-0.4474539366825041 -0.64582737436975
0.87626350288952 0.5168237574851811
-0.5573163946123445 0.5303358707287487
-0.2702221990524838 -0.12071597609568441
-0.4785319108546786 0.2614787559438281
-0.6755092455019367 0.6553341981778504
-0.034937296724972366 -0.18730308602423262
0.1781126866117484 0.1673363717849654
0.039126845581424874 -0.29645404127594444
-0.8780934589693725 0.6271127199669491
-0.9019631317718722 -0.5216008592680399
0.3346434334886965 0.6948849995020872
0.6086346360687265 0.5322106422590067
0.11971679273688318 -0.25850036878551363
-0.307120429034599 0.5003986315779838
0.12787644862214176 -0.12303693532541038
0.13056331415896283 -0.5964839751117743
-0.5713232471785568 0.9877622118007852
0.06196032681595409 0.8093440936232583
0.3208596341198775 0.2247930571174397
-0.8264908514081757 -0.04226891648631792
-0.7025229816149934 0.05804574589747524
-0.8263274816187329 -0.09864632013826502
0.49129196982588774 0.46232070203693776
0.4510955901539693 0.15681086263826738
0.15934398181665066 -0.33723912801561595
-0.6231109863782995 -0.36298332325544136
0.35572021812706134 -0.3637951982364578
-0.4651057961722145 0.34344750165865334
0.5154951284349572 0.06437186949897478
-0.15053559397130156 0.6248702630344025
-0.04880947717872952 0.341516323824812
0.08469650598628142 0.04093695383617524
-0.4395820982936609 0.5700035784565611
0.31100604731707526 0.8814277691850472
-0.23220147749887832 -0.9063964444960875
0.8170234565252827 -0.8443337754847251
-0.12223221678447715 -0.7747627077358981
0.5733395051232384 -0.05383429635337067
-0.3068378968832801 0.47228231533617815
-0.9402884380129126 -0.9258968951871516
0.1470107548298789 -0.8590807225441073
-0.7772038017891734 -0.6962982893902112
Hidden Weights:
0.054868077164712314 -0.8362508584996968
-0.400237740615597 -0.23824086002660283
Options: -M 0.5 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 109069498
-H 2
-M 0.5
Input Weights:
-0.3381932304698494 0.27293425555984996
0.38366043130032823 0.8231630812653203
-0.36213578861017703 -0.9572638965286644
-0.47368012990985764 0.9704394769187168
0.6016438010972285 0.06925312127360717
-0.9016265706616307 -0.045905469552799394
0.4902554677560227 -0.12656424181236536
-0.29739067979217504 -0.2496694395056378
0.9275697901656887 0.40699490136342087
-0.36333137844952823 -0.8769985655599002
0.13529544898095258 0.3275811693145947
-0.05868848551134742 0.4755539819828165
0.5128978917964888 0.9237730479002164
0.6274503682686854 0.8045122452667615
0.06655216597500968 0.9028081526130824
-0.6178739522377679 0.7239287597647643
-0.34476776647514984 0.03537156796418417
-0.5086447814844981 -0.8613085220301095
-0.7140972648490285 -0.15439007583867248
-0.42613653534002394 -0.3842850554099255
0.775296645827108 -0.5603005744762501
-0.4257816385088238 0.7440557903259788
-0.05761177234750381 -0.1746633971882423
0.7406183231844563 -0.7101690232530047
-0.8633909833518134 -0.8262286194852531
-0.22084682958578505 0.3351880948376351
-0.03094320077505941 0.245540964239658
-0.3559406498438964 0.03192864157720843
0.31811766868139046 -0.6852816715498176
-0.5525721535328973 0.3829253148497078
-0.6584874345184051 -0.5981620642973944
-0.44919144510517683 -0.5348471227335523
0.7519947335321786 0.3240339993559269
-0.8222259634108864 0.6976744610188206
-0.9942830969573127 0.19739842645020955
-0.1529148191114802 -0.29925769427576676
0.4063593934034244 -0.370032761150191
0.9007178577823021 0.6464891361418041
-0.8660833661446106 -0.6833485530673198
-0.4365077283012595 -0.9805453023526949
-0.3522181168259708 -0.6738269035998572
-0.1610243321948186 -0.26788312108901846
0.16640185489382486 0.6347206798450116
-0.5189723313122587 0.516128663062928
-0.5390018122246383 0.8354382483545792
0.986909260539377 -0.5326938741493714
0.08312390570283767 -0.795423487493977
-0.41489562531792523 -0.8114773873230572
-0.4666585321080794 -0.9544996269069628
-0.56850914544474 0.8702389624179294
0.5230327610157219 0.41583582422513343
0.4175674690199045 -0.8121015270595451
0.22897714982772444 0.7696828003042471
-0.7858219830490281 -0.512964413116537
0.7303204021422196 -0.14140398874153504
0.34739930460886836 0.37264704718839803
0.18310395167999527 0.41827055954139203
-0.5024452894548073 -0.3851481217771904
-0.14441435216264353 -0.9473572274161255
-0.060993956781210557 -0.08242074009958622
-0.8611364728241575 -0.5127441949929259
-0.4474539366825041 -0.64582737436975
0.87626350288952 0.5168237574851811
-0.5573163946123445 0.5303358707287487
-0.2702221990524838 -0.12071597609568441
-0.4785319108546786 0.2614787559438281
-0.6755092455019367 0.6553341981778504
-0.034937296724972366 -0.18730308602423262
0.1781126866117484 0.1673363717849654
0.039126845581424874 -0.29645404127594444
-0.8780934589693725 0.6271127199669491
-0.9019631317718722 -0.5216008592680399
0.3346434334886965 0.6948849995020872
0.6086346360687265 0.5322106422590067
0.11971679273688318 -0.25850036878551363
-0.307120429034599 0.5003986315779838
0.12787644862214176 -0.12303693532541038
0.13056331415896283 -0.5964839751117743
-0.5713232471785568 0.9877622118007852
0.06196032681595409 0.8093440936232583
0.3208596341198775 0.2247930571174397
-0.8264908514081757 -0.04226891648631792
-0.7025229816149934 0.05804574589747524
-0.8263274816187329 -0.09864632013826502
0.49129196982588774 0.46232070203693776
0.4510955901539693 0.15681086263826738
0.15934398181665066 -0.33723912801561595
-0.6231109863782995 -0.36298332325544136
0.35572021812706134 -0.3637951982364578
-0.4651057961722145 0.34344750165865334
0.5154951284349572 0.06437186949897478
-0.15053559397130156 0.6248702630344025
-0.04880947717872952 0.341516323824812
0.08469650598628142 0.04093695383617524
-0.4395820982936609 0.5700035784565611
0.31100604731707526 0.8814277691850472
-0.23220147749887832 -0.9063964444960875
0.8170234565252827 -0.8443337754847251
-0.12223221678447715 -0.7747627077358981
0.5733395051232384 -0.05383429635337067
-0.3068378968832801 0.47228231533617815
-0.9402884380129126 -0.9258968951871516
0.1470107548298789 -0.8590807225441073
-0.7772038017891734 -0.6962982893902112
Hidden Weights:
0.054868077164712314 -0.8362508584996968
-0.400237740615597 -0.23824086002660283
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.3736
Root mean squared error 0.4279
Relative absolute error 102.1766 %
Root relative squared error 100.0646 %
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 0.3714
Root mean squared error 0.4252
Relative absolute error 102.2296 %
Root relative squared error 100.1044 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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