Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 97217361
-H 2
-M 0.3
Input Weights:
0.4088142479058632 -0.7025576499169612
0.928380036792428 -0.8430200411134985
0.034141664127612215 0.3941274689675993
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0.31070594456807443 0.8288198443231625
0.408768818068725 0.4438063447774827
-0.5189376548650113 -0.28269139126438736
0.09127505468561226 -0.0942025639531141
-0.4479375538387764 -0.5239596727433096
-0.6381708967087443 0.01586884376118447
0.17824894021782844 -0.28631139497597147
0.6760563845262679 -0.7198139668520498
-0.8903401936902355 0.21128749193880925
-0.014417538461416246 0.8032023155753749
-0.485434707537975 -0.46391642041414083
-0.2077602573338868 -0.8890852928747799
0.39864947835793574 0.6168917210911176
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0.08763530309517487 0.5520235987046909
0.8072202317378423 -0.4166632428700394
0.8664956730485902 -0.44977377873542035
0.21587575041061702 0.2670347175192571
0.6630812815230342 0.6356871514511684
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0.26556763540861805 0.5922021780582303
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0.7859501322216653 -0.9364757035308104
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0.2723216489496767 -0.9164860221416529
0.46037551924037623 -0.673114563166965
0.6343385410566527 0.3900372236726162
-0.5000513605081838 0.13019338406283842
0.4022498769606564 0.30557935018506455
-0.7961370625709061 -0.4402955287221124
0.929860696045588 -0.49093929218006505
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0.9683986590279716 -0.4965745289233532
-0.8482396007982107 0.9547858024755762
Hidden Weights:
-0.5630450953812702 -0.0875703628079747
0.4717054697496066 0.8047833727863376
Options: -E 0.1
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 97217361
-H 2
-M 0.3
Input Weights:
0.4088142479058632 -0.7040167996799429
0.928380036792428 -0.8430200411134985
0.034141664127612215 0.3941274689675993
-0.1526038344583336 -0.1290022821589405
0.31070594456807443 0.8288198443231625
0.408768818068725 0.443782424289565
-0.5189376548650113 -0.28269139126438736
0.09127505468561226 -0.0942025639531141
-0.4479375538387764 -0.5239596727433096
-0.6381708967087443 -2.267341727986492
0.17824894021782844 -0.2863353154638892
0.6760563845262679 -0.7198139668520498
-0.8903401936902355 0.21128749193880925
-0.014417538461416246 0.8032023155753749
-0.485434707537975 -0.46391642041414083
-0.2077602573338868 -0.8890852928747799
0.39864947835793574 0.6168917210911176
-0.32189655206842116 -0.5014602075701242
0.26180185153439584 0.48890358602571604
-0.18168793461997224 0.9342632789825354
-0.021976483070873076 0.5752405857340082
-0.16111286309619333 0.8259627943017125
0.5377367731756475 -0.7885547522490111
0.320895642615983 0.7260915620142443
-0.8914630981781826 -0.24328186777095606
0.8006729395108754 -0.5227452089940139
0.172405100470306 -0.5903952942635472
-0.9824016724738505 -0.47784354624042863
0.07562343580148179 -0.1842318034842949
-0.12103041329615505 0.7202918827472282
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-0.05956828714417761 0.08187062596960959
0.4877597327705836 0.3118185936175495
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0.005725706198492553 0.6819807547646788
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0.8929790360092784 -0.4144150359057764
0.44690979977110823 -0.6419435142430767
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-0.10933550269018877 -0.9818822510420204
0.932163000487072 -0.7798143163286535
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0.02297462230491809 0.3314533997928042
0.23116869493097192 0.20529008572405383
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0.39448554936730895 0.22256170360190253
0.4661985166133016 0.497211809036632
0.9903465933392499 -0.14302557165140728
0.4180483175255083 -0.08542091114497197
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0.08763530309517487 0.5520235987046909
0.8072202317378423 -0.4166632428700394
0.8664956730485902 -0.44977377873542035
0.21587575041061702 0.2670347175192571
0.6630812815230342 0.6356871514511684
-0.8757347421182675 -0.43354675612588145
-0.18710231931508647 -0.09167051990680375
0.26556763540861805 0.5922021780582303
-0.6019879965341901 -0.4633661457463205
-0.7518483423477986 0.9604108153022846
0.7859501322216653 -0.9364757035308104
-0.037738976185643036 0.5973091114966327
0.2723216489496767 -0.9164860221416529
0.46037551924037623 -0.673114563166965
0.6343385410566527 0.3900372236726162
-0.5000513605081838 0.13019338406283842
0.4022498769606564 0.30557935018506455
-0.7961370625709061 -0.4402955287221124
0.929860696045588 -0.49093929218006505
-0.609460178715552 0.21981740948563733
-0.4402415078605699 0.19657602128417606
-0.6099177218905283 0.9637457534902925
0.9683986590279716 -0.4965745289233532
-0.8482396007982107 0.9547858024755762
Hidden Weights:
3.0775484486362634 -3.077578208667592
0.10453543847604611 1.0329991530363647
=== Error on training data ===
Correctly Classified Instances 24778 76.0972 %
Incorrectly Classified Instances 7783 23.9028 %
Mean absolute error 0.402
Root mean squared error 0.4327
Relative absolute error 109.9386 %
Root relative squared error 101.1914 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
58 7783 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12473 76.6108 %
Incorrectly Classified Instances 3808 23.3892 %
Mean absolute error 0.3999
Root mean squared error 0.4304
Relative absolute error 110.0951 %
Root relative squared error 101.3178 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
38 3808 | a = >50K
0 12435 | b = <=50K
|