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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.5
-S 112516674
-H 2
-M 0.1
Input Weights:
-0.9401996780912896 -0.27668949857607106
0.06400155437269128 -0.7404840533560633
-0.8018508635184678 -0.9616946452088668
-0.33825227280836656 0.6412358203375594
-0.9246050561533283 0.5600281864697036
-0.19236703680696698 0.3939966192727242
0.2970632407373852 0.5739448696386402
0.4408223359799397 0.8794988472793723
-0.5244204660649927 -0.055960561807698816
0.38535110303790976 -0.19319082763302364
0.08351750857483631 -0.8515105841041539
-0.04043375727568477 -0.5076060901830777
-0.7393160820603972 -0.5229637747647295
0.7752292284884648 -0.7462691888389852
0.3529648388483384 0.5602138142838899
-0.8764222292831039 0.7365649177185729
-0.49756895862590356 0.6915006580063869
-0.9922380145132157 -0.4823098823071412
-0.19849410826635472 0.5638676295875185
0.7310538236871569 0.5304081962025586
0.15224206340274526 0.30843808866478684
-0.49434462789735245 -0.9257599110581485
0.4118849802131117 0.6751313892845545
-0.8308671433923032 -0.6665025072505262
0.12862633369499776 0.25705966299223615
-0.5104479877778434 -0.5258340133702726
0.24122140837101624 0.5996630416226212
0.2551222252422305 -0.8578388013926759
-0.3088358893495764 -0.5365664086749911
0.272140151181556 0.2690939088981188
-0.2716647468435347 0.3806672522698009
0.2725973457521529 0.8186793051559307
-0.37383282385326466 0.7608268852289941
0.6400484898245093 -0.11395425329278308
0.9998537037259343 0.29837405939372674
0.7230635679740498 -0.6046028560538781
-0.5258194497249495 0.30766354351249103
-0.4126184674046742 0.6244629071143941
-0.7968854805898054 0.1817661198260625
0.47207498833361017 -0.39362026231778335
0.9220682332872503 0.6197267547449838
0.41670395008223027 -0.09569982359855222
-0.3697914306913097 0.10734686336947719
-0.1855926674493773 -0.3019399881058227
0.5625010427026358 -0.2685624854541726
-0.33726510551293276 0.03636851382514994
0.3213334592531265 -0.5383042246630776
-0.4839148498360746 0.5566614449791949
0.4912460490526731 0.09674354821099551
0.4209666420065845 -0.883815131362619
0.9469578126460687 -0.9659914099679079
0.11176676325497814 -0.6359964097142232
-0.33226683842684346 -0.376642979939541
0.4778752961820949 0.16016356038901813
-0.9328765269258927 -0.818224848066401
0.6441933429463365 0.3546282714432285
-0.39304789136939466 -0.2952186112394717
-0.8586563231608602 0.30806340526741827
0.35254193071148165 0.17719938131112545
-0.37188780762205353 -0.20398892191004148
0.8008142147358863 -0.7272281200098927
0.859370682110487 0.8081821852980535
0.025968094892662386 0.5939196505068802
0.30428658854804125 0.04995118624574024
-0.7153129109971346 -0.26142368874088584
0.5920937103310102 -0.4181319261126917
0.6436641486313748 0.03304065790470445
-0.7800916421212847 0.4970618401548681
-0.03010729789253075 -0.7754929754676692
-0.5333962428861851 -0.5685039582206737
0.38559344169485166 -0.38555851396930074
-0.17006780156841383 -0.7823901416284156
0.7555343065434137 -0.29190293690210467
-0.5040127240809276 0.4111357442195951
0.2593122171402651 -0.5262231974838765
-0.8404463117600616 0.6207826571421688
-0.9869022645718761 -0.3907028479444419
-0.9165201392750482 0.5217142938339099
0.04635631605499624 -0.9924576437413473
-0.3987432014922878 0.7007881277837473
-0.1951503973526405 0.9468732253858412
0.6595719660029131 0.7225568863732814
-0.5687534249207831 0.7980281021353492
-0.3594413581749223 -0.7279788208486471
-0.8478662906793402 0.47336724640198913
0.11435871190225133 0.2687654314507193
0.5520663517903515 -0.973064086880735
0.7127835696111449 -0.6031403008684812
-0.187755084182454 0.1686872799122876
0.6893796659768248 0.5889740816112405
-0.8021087146887165 -0.24910779010088846
0.4889010001589509 0.26847867313559926
-0.6473625390970741 0.13059574659611406
-0.3173529015127352 0.31059766168336744
0.05218053699733871 -0.3359622071927031
-0.3283351830159531 -0.9525975219675822
0.8288036007484831 0.24606838719032043
0.6975143942262743 0.6197688871025584
0.7425663950521995 -0.0876679796373756
-0.1460046932527035 -0.4256599144665887
-0.922764122089373 0.06069839131439725
-0.7695096618361936 0.9107360106356226
0.006307353582598374 0.15116022296090992
0.14974764525351936 -0.506821214684146
Hidden Weights:
-0.8549434032624972 -0.36542655000517654
-0.9830019753182753 -0.6477132730217103
Options: -E 0.5 -M 0.1
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.5
-S 112516674
-H 2
-M 0.1
Input Weights:
-0.9401996780912896 -0.27668949857607106
0.06400155437269128 -0.7404840533560633
-0.8018508635184678 -0.9616946452088668
-0.33825227280836656 0.6412358203375594
-0.9246050561533283 0.5600281864697036
-0.19236703680696698 0.3939966192727242
0.2970632407373852 0.5739448696386402
0.4408223359799397 0.8794988472793723
-0.5244204660649927 -0.055960561807698816
0.38535110303790976 -0.19319082763302364
0.08351750857483631 -0.8515105841041539
-0.04043375727568477 -0.5076060901830777
-0.7393160820603972 -0.5229637747647295
0.7752292284884648 -0.7462691888389852
0.3529648388483384 0.5602138142838899
-0.8764222292831039 0.7365649177185729
-0.49756895862590356 0.6915006580063869
-0.9922380145132157 -0.4823098823071412
-0.19849410826635472 0.5638676295875185
0.7310538236871569 0.5304081962025586
0.15224206340274526 0.30843808866478684
-0.49434462789735245 -0.9257599110581485
0.4118849802131117 0.6751313892845545
-0.8308671433923032 -0.6665025072505262
0.12862633369499776 0.25705966299223615
-0.5104479877778434 -0.5258340133702726
0.24122140837101624 0.5996630416226212
0.2551222252422305 -0.8578388013926759
-0.3088358893495764 -0.5365664086749911
0.272140151181556 0.2690939088981188
-0.2716647468435347 0.3806672522698009
0.2725973457521529 0.8186793051559307
-0.37383282385326466 0.7608268852289941
0.6400484898245093 -0.11395425329278308
0.9998537037259343 0.29837405939372674
0.7230635679740498 -0.6046028560538781
-0.5258194497249495 0.30766354351249103
-0.4126184674046742 0.6244629071143941
-0.7968854805898054 0.1817661198260625
0.47207498833361017 -0.39362026231778335
0.9220682332872503 0.6197267547449838
0.41670395008223027 -0.09569982359855222
-0.3697914306913097 0.10734686336947719
-0.1855926674493773 -0.3019399881058227
0.5625010427026358 -0.2685624854541726
-0.33726510551293276 0.03636851382514994
0.3213334592531265 -0.5383042246630776
-0.4839148498360746 0.5566614449791949
0.4912460490526731 0.09674354821099551
0.4209666420065845 -0.883815131362619
0.9469578126460687 -0.9659914099679079
0.11176676325497814 -0.6359964097142232
-0.33226683842684346 -0.376642979939541
0.4778752961820949 0.16016356038901813
-0.9328765269258927 -0.818224848066401
0.6441933429463365 0.3546282714432285
-0.39304789136939466 -0.2952186112394717
-0.8586563231608602 0.30806340526741827
0.35254193071148165 0.17719938131112545
-0.37188780762205353 -0.20398892191004148
0.8008142147358863 -0.7272281200098927
0.859370682110487 0.8081821852980535
0.025968094892662386 0.5939196505068802
0.30428658854804125 0.04995118624574024
-0.7153129109971346 -0.26142368874088584
0.5920937103310102 -0.4181319261126917
0.6436641486313748 0.03304065790470445
-0.7800916421212847 0.4970618401548681
-0.03010729789253075 -0.7754929754676692
-0.5333962428861851 -0.5685039582206737
0.38559344169485166 -0.38555851396930074
-0.17006780156841383 -0.7823901416284156
0.7555343065434137 -0.29190293690210467
-0.5040127240809276 0.4111357442195951
0.2593122171402651 -0.5262231974838765
-0.8404463117600616 0.6207826571421688
-0.9869022645718761 -0.3907028479444419
-0.9165201392750482 0.5217142938339099
0.04635631605499624 -0.9924576437413473
-0.3987432014922878 0.7007881277837473
-0.1951503973526405 0.9468732253858412
0.6595719660029131 0.7225568863732814
-0.5687534249207831 0.7980281021353492
-0.3594413581749223 -0.7279788208486471
-0.8478662906793402 0.47336724640198913
0.11435871190225133 0.2687654314507193
0.5520663517903515 -0.973064086880735
0.7127835696111449 -0.6031403008684812
-0.187755084182454 0.1686872799122876
0.6893796659768248 0.5889740816112405
-0.8021087146887165 -0.24910779010088846
0.4889010001589509 0.26847867313559926
-0.6473625390970741 0.13059574659611406
-0.3173529015127352 0.31059766168336744
0.05218053699733871 -0.3359622071927031
-0.3283351830159531 -0.9525975219675822
0.8288036007484831 0.24606838719032043
0.6975143942262743 0.6197688871025584
0.7425663950521995 -0.0876679796373756
-0.1460046932527035 -0.4256599144665887
-0.922764122089373 0.06069839131439725
-0.7695096618361936 0.9107360106356226
0.006307353582598374 0.15116022296090992
0.14974764525351936 -0.506821214684146
Hidden Weights:
-1.0237966701827683 -0.3421334200846556
-0.9830019753182753 -0.6477132730217103
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.4168
Root mean squared error 0.4388
Relative absolute error 113.9998 %
Root relative squared error 102.6332 %
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 0.4154
Root mean squared error 0.4372
Relative absolute error 114.3406 %
Root relative squared error 102.9114 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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