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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.3
-S 68951017
-H 2
-M 0.3
Input Weights:
-0.6847327754296535 0.12408422171510258
-0.7046607732180894 -0.09720780802869156
-0.45583541160715346 -0.43208428167271884
0.4607172626432907 -0.7826538016774185
0.329355087698336 -0.9841685388557924
-0.25030696034066 -0.7516417793298764
0.4108122460205754 -0.24728117734676047
0.656065323421281 0.2134090669549984
0.8668626438308458 0.5922666365178442
0.32312944373154884 -0.9882417342245151
0.4888381596608873 -0.4049406563255933
0.38999428622995724 0.7722483244577767
-0.9331395973441616 -0.10902733670570952
0.0757588493268817 -0.26535926100930807
-0.6748781752571515 0.3477859031111048
-0.8593871369544321 0.5707745531571975
0.3798929200863037 -0.7573613627581728
0.18449664103902474 -0.2604128930453702
-0.5168891270407148 0.9450478546293961
0.0322029424962893 0.6460394180134617
0.18730621806534908 0.40380875021725604
0.609113181176129 0.779359717462559
0.6210689114389067 0.1581202121051022
-0.14672025413243106 0.15052933920168132
-0.5357444682312837 0.09734057878345026
-0.32482052582333276 -0.7889076435417945
-0.40653452953334335 0.4242883931261283
-0.17718475040694148 0.9624493714326872
0.8344765837258932 -0.396910739069948
-0.48767737848937553 -0.4271965432625924
-0.6184010411348448 -0.4178704705074556
-0.1630145059618915 -0.10736495115300371
-0.7347051477445004 0.5823509971258809
-0.01652667499118543 0.65250311830709
-0.22131522320487118 0.25629363885571266
0.09481868045996733 -0.3386284215793107
-0.5107626794184272 -0.7018866029811415
0.8755514840927785 0.2905554778734589
0.8112809907939489 -0.4178462705962349
-0.3953643738760022 -0.8124610967726185
-0.9859980103773482 -0.19082259722629402
0.6943026507795194 0.24384867308296276
-0.12693494670956817 0.3454582371974808
-0.8858091326459965 -0.9608559021040033
-0.704568524716588 -0.43027016576973476
0.4157633746678999 0.46571544749013705
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0.29852733645465124 0.15696193715917128
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0.413989703488854 0.7611726695215808
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0.31032203673721703 0.5355587724745527
0.8675437496345113 0.5077281475300472
0.0597840029562513 -0.1289598208267344
0.9866949738446822 0.7721892321817814
-0.4313293009476096 0.189119616047297
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0.8302824211038304 -0.7013173475144538
0.5030375983092565 -0.4673720331818316
0.9071795135082896 -0.5076780926903335
-0.9571435434626734 0.5637555990447289
-0.960596091688867 -0.5545302525594853
-0.7707951374814619 0.10318507219113515
-0.8137427127581134 -0.01898367800445122
0.31390769344752756 0.5593328657539558
-0.00100820073257335 -0.34701229093033636
-0.7505948806598983 0.19659892129084322
-0.44616170250503107 0.06780137821889154
0.7341709047242382 -0.4300007522941909
-0.522551862525386 0.42507083793513467
0.47321117545425295 -0.9134082170355455
0.457946609468747 0.15041023191942915
-0.8739369508527046 0.6910287602624399
0.8610298404012144 0.9074623818208885
0.7216959789303474 0.7847891108740299
-0.7127244227988858 -0.6185463582971946
0.6431826035609334 0.5187121874410101
0.6582178307765696 0.6567306645797892
0.9159645079713141 -0.8969907698892527
-0.2323483158757833 -0.1305225486249575
0.7317571022616338 0.033360614137966316
0.3627233388182871 -0.823593511147628
0.6341338559241518 0.6301592403426026
0.6270169229124745 -0.5183165312616602
-0.7211319808291878 -0.7566796529697222
-0.4557898672029139 -0.6825507733220211
-0.6717956025882863 -0.6810118587853999
0.863829176044506 0.7565536589156652
0.9781533933031372 -0.5926795350289997
0.32682884432070924 -0.8032115003296458
-0.5448442764143611 0.48146473881247687
0.21354688028101299 0.7100083447451513
-0.8746706607471282 -0.2752591834626952
-0.8558263788206586 -0.21816976003787558
-0.32300905363086363 0.5325632483435574
0.10512855708644242 0.5316187215622441
-0.8249870904285237 -0.10684659083936054
-0.17471233262436625 -0.2795444346264577
-0.87765487860469 -0.19924591498612454
0.5342440074411812 -0.6822138853464528
-0.5530316991859732 -0.12024431148272674
0.6698599560400429 -0.6348179476769213
Hidden Weights:
-0.14784013167101828 0.07668937238008344
-0.635959946403668 -0.36192004983544757
Options: -I 5000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.3
-S 68951017
-H 2
-M 0.3
Input Weights:
-0.6847327754296535 0.12408422171510258
-0.7046607732180894 -0.09720780802869156
-0.45583541160715346 -0.43208428167271884
0.4607172626432907 -0.7826538016774185
0.329355087698336 -0.9841685388557924
-0.25030696034066 -0.7516417793298764
0.4108122460205754 -0.24728117734676047
0.656065323421281 0.2134090669549984
0.8668626438308458 0.5922666365178442
0.32312944373154884 -0.9882417342245151
0.4888381596608873 -0.4049406563255933
0.38999428622995724 0.7722483244577767
-0.9331395973441616 -0.10902733670570952
0.0757588493268817 -0.26535926100930807
-0.6748781752571515 0.3477859031111048
-0.8593871369544321 0.5707745531571975
0.3798929200863037 -0.7573613627581728
0.18449664103902474 -0.2604128930453702
-0.5168891270407148 0.9450478546293961
0.0322029424962893 0.6460394180134617
0.18730621806534908 0.40380875021725604
0.609113181176129 0.779359717462559
0.6210689114389067 0.1581202121051022
-0.14672025413243106 0.15052933920168132
-0.5357444682312837 0.09734057878345026
-0.32482052582333276 -0.7889076435417945
-0.40653452953334335 0.4242883931261283
-0.17718475040694148 0.9624493714326872
0.8344765837258932 -0.396910739069948
-0.48767737848937553 -0.4271965432625924
-0.6184010411348448 -0.4178704705074556
-0.1630145059618915 -0.10736495115300371
-0.7347051477445004 0.5823509971258809
-0.01652667499118543 0.65250311830709
-0.22131522320487118 0.25629363885571266
0.09481868045996733 -0.3386284215793107
-0.5107626794184272 -0.7018866029811415
0.8755514840927785 0.2905554778734589
0.8112809907939489 -0.4178462705962349
-0.3953643738760022 -0.8124610967726185
-0.9859980103773482 -0.19082259722629402
0.6943026507795194 0.24384867308296276
-0.12693494670956817 0.3454582371974808
-0.8858091326459965 -0.9608559021040033
-0.704568524716588 -0.43027016576973476
0.4157633746678999 0.46571544749013705
-0.5213850481446565 0.4343865735388126
0.48593700144883 -0.8615601153442398
0.29852733645465124 0.15696193715917128
-0.005901251309380351 -0.8815623804777721
0.413989703488854 0.7611726695215808
-0.545147924477555 0.996472644071013
-0.7405683091350395 -0.4221550083222061
0.31032203673721703 0.5355587724745527
0.8675437496345113 0.5077281475300472
0.0597840029562513 -0.1289598208267344
0.9866949738446822 0.7721892321817814
-0.4313293009476096 0.189119616047297
-0.1314487759702414 0.6844614161492599
0.8302824211038304 -0.7013173475144538
0.5030375983092565 -0.4673720331818316
0.9071795135082896 -0.5076780926903335
-0.9571435434626734 0.5637555990447289
-0.960596091688867 -0.5545302525594853
-0.7707951374814619 0.10318507219113515
-0.8137427127581134 -0.01898367800445122
0.31390769344752756 0.5593328657539558
-0.00100820073257335 -0.34701229093033636
-0.7505948806598983 0.19659892129084322
-0.44616170250503107 0.06780137821889154
0.7341709047242382 -0.4300007522941909
-0.522551862525386 0.42507083793513467
0.47321117545425295 -0.9134082170355455
0.457946609468747 0.15041023191942915
-0.8739369508527046 0.6910287602624399
0.8610298404012144 0.9074623818208885
0.7216959789303474 0.7847891108740299
-0.7127244227988858 -0.6185463582971946
0.6431826035609334 0.5187121874410101
0.6582178307765696 0.6567306645797892
0.9159645079713141 -0.8969907698892527
-0.2323483158757833 -0.1305225486249575
0.7317571022616338 0.033360614137966316
0.3627233388182871 -0.823593511147628
0.6341338559241518 0.6301592403426026
0.6270169229124745 -0.5183165312616602
-0.7211319808291878 -0.7566796529697222
-0.4557898672029139 -0.6825507733220211
-0.6717956025882863 -0.6810118587853999
0.863829176044506 0.7565536589156652
0.9781533933031372 -0.5926795350289997
0.32682884432070924 -0.8032115003296458
-0.5448442764143611 0.48146473881247687
0.21354688028101299 0.7100083447451513
-0.8746706607471282 -0.2752591834626952
-0.8558263788206586 -0.21816976003787558
-0.32300905363086363 0.5325632483435574
0.10512855708644242 0.5316187215622441
-0.8249870904285237 -0.10684659083936054
-0.17471233262436625 -0.2795444346264577
-0.87765487860469 -0.19924591498612454
0.5342440074411812 -0.6822138853464528
-0.5530316991859732 -0.12024431148272674
0.6698599560400429 -0.6348179476769213
Hidden Weights:
-0.2161149175409295 0.8719512598191191
-0.635959946403668 -0.36192004983544757
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.4008
Root mean squared error 0.4329
Relative absolute error 109.6067 %
Root relative squared error 101.2486 %
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 0.399
Root mean squared error 0.4309
Relative absolute error 109.8405 %
Root relative squared error 101.4348 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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