Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.1
-S 114390864
-H 2
-M 0.1
Input Weights:
-0.39980357743281947 -0.6485463733510795
0.7420163813250802 0.2271384970463488
-0.5381776455320741 -0.11268970428855174
0.3387193998979494 -0.1872481780052806
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0.5267479831549327 0.09043670327965048
0.08418229358719587 0.4638311182597983
-0.7454272882944715 -0.8862116907299507
-0.9674690276295956 0.4292742069195641
-0.2244405103794933 0.012618018758817628
0.8255885280582691 0.41487860169555213
-0.7416849722922767 0.004569926929770984
-0.12951958167995126 0.14926216644965873
0.606928450586693 0.9686614675609708
0.9393202326965211 0.35177765621216306
-6.259522774416659E-4 -0.8955199821905606
0.12887283647952774 -0.4792200051283422
0.3439354987695282 -0.6932664265460475
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0.6374821084716713 0.12145056151447053
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0.36046941162360513 -0.02701877308599676
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0.7388066978708328 0.46460060941196013
0.2780517889161518 0.822767005881953
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0.6620750527038546 -0.23632733122938898
0.23456300770248162 0.22628069904552106
-0.5411199143633354 -0.17936670634541652
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-0.5435052520128587 -0.751310473911659
0.2799380837098926 0.8452849528794988
0.3062208598916336 -0.7115587189022745
0.34388108882965174 0.8026415968595546
0.9743259884052491 -0.10930472492354104
0.8522693936367458 0.5641666950300308
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0.9605755438465502 -0.6939478588309251
0.27175332880258485 -0.15081519323481674
-0.7420551874938479 0.16167838492261466
-0.8968628825452132 0.1902505282335487
Hidden Weights:
0.5343559495672567 -0.02393147896858716
0.3104194956646986 -0.23744762040944467
Options: -E 0.1 -M 0.1 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.1
-S 114390864
-H 2
-M 0.1
Input Weights:
-0.11054124080145114 -0.6485463733510795
0.7500514462315072 0.2271384970463488
-0.5381776455320741 -0.11268970428855174
0.3387193998979494 -0.1872481780052806
-0.37717930827823754 0.1504331715523599
0.5267479831549327 0.09043670327965048
0.08418229358719587 0.4638311182597983
-0.7454272882944715 -0.8862116907299507
-0.9674690276295956 0.4292742069195641
238.4330573403123 0.012618018758817628
0.8255885280582691 0.41487860169555213
-0.7416849722922767 0.004569926929770984
-0.12951958167995126 0.14926216644965873
0.61496351549312 0.9686614675609708
0.9393202326965211 0.35177765621216306
-6.259522774416659E-4 -0.8955199821905606
0.12887283647952774 -0.4792200051283422
0.3439354987695282 -0.6932664265460475
-0.4669566918195234 -0.9117426194918796
-0.10198488230952973 -0.516629163529154
-0.1614543026666435 0.537653089085145
0.13055213168507285 0.2791365443612881
-0.6007921330449992 -0.2257235839808578
-0.928304030564904 0.5215383385253627
-0.8394617992153766 -0.8699429148875948
-0.9916820941912117 -0.48715076279425107
0.27706148879217696 0.5659833719360856
-0.3198668772684899 -0.7762151958412253
0.12245130521947578 0.6895887630073902
-0.15724857820075777 0.019452372685085706
-0.8103329213161388 0.5082641719084438
0.46065506854183913 -0.8725986765448499
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0.05735258495235551 0.29265779604551145
0.7179759560274537 0.03960497472369595
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0.35938981772609524 0.8759767288521705
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0.8794597329007676 -0.9956571380995975
0.9813501799003658 0.03839537411875593
62.63910810517725 0.019253682591674703
0.0909664129306027 0.643779082207117
0.8385091406736565 -0.04117403350343207
0.6002593677232547 0.7793525697734276
0.44791259576820686 0.04115795716608894
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0.2482696321852249 -0.4191560326267083
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0.2522677156857709 0.2963667166996451
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0.23109649006393385 -0.34507446019941046
0.4140065333880918 -0.06966590584653609
-0.8802075169559929 -0.17484934205976432
-0.4637594032225738 -0.5574804660007397
0.6374821084716713 0.12145056151447053
-0.3883263550113263 0.41063881595649065
0.36046941162360513 -0.02701877308599676
-0.06345653511211058 0.16001764786552375
0.7388066978708328 0.46460060941196013
0.2780517889161518 0.822767005881953
0.8314901909747394 -0.8013310845356747
-0.3118322349205014 0.16021901918232295
0.6620750527038546 -0.23632733122938898
0.23456300770248162 0.22628069904552106
-0.5411199143633354 -0.17936670634541652
-0.46710947057246255 0.30181426512811327
-0.5435052520128587 -0.751310473911659
0.2799380837098926 0.8452849528794988
0.3062208598916336 -0.7115587189022745
0.34388108882965174 0.8026415968595546
0.9743259884052491 -0.10930472492354104
0.8522693936367458 0.5641666950300308
-0.10573921543560116 0.0679799027331407
0.9605755438465502 -0.6939478588309251
0.27175332880258485 -0.15081519323481674
-0.7420551874938479 0.16167838492261466
-0.8968628825452132 0.1902505282335487
Hidden Weights:
1.2338140895407643 -1.1280428257323822
-0.8764922780380978 1.0763447821047234
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.4083
Root mean squared error 0.4354
Relative absolute error 111.6567 %
Root relative squared error 101.8329 %
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 0.4066
Root mean squared error 0.4335
Relative absolute error 111.9405 %
Root relative squared error 102.0616 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
|