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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.3
-S 105218683
-H 2
-M 0.1
Input Weights:
-0.5265145058768783 0.940836226139411
-0.7995248433261364 0.2943832377709914
0.8586579251646673 -0.38338365922852913
-0.9458777939129113 0.5659859902928301
0.774468687719678 -0.09855932167701109
0.3592837531368027 0.17386053157519643
-0.5211987136409006 -0.5444587784950206
-0.6784300854642278 0.5467366002901568
0.41772640915650183 -0.25756287720906923
-0.41774846710986413 -0.34466732379334974
-0.7845665601107363 0.8729362849964601
-0.5481950921622989 0.6775343990910958
-0.17236038757441663 -0.44627403944026156
-0.18930096724800705 -0.195924629039115
0.9682059996449703 0.5691087346752415
-0.884624128803029 -0.6794425128853561
0.3009291387910866 0.8948300508674578
-0.8376837804229618 -0.0754382646970011
0.14950344143342686 -0.8268318068609788
0.07653688230488132 0.09064293375498722
0.30009699018352354 -0.5592114398593697
-0.36865383175990996 -0.8246874588739432
-0.746750982546412 -0.26368518105116134
-0.3290445420191488 -0.4284177043724178
0.6440177686836182 0.5329067333405573
-0.23737497084525283 0.5099131003591708
-0.17062467306894247 0.32087035381257634
-0.11482459323310334 -0.29012860469100343
0.3963999856025864 0.5537340251042795
-0.9305639624194741 -0.11641205888571671
-0.15075001463585092 -0.5156920925165014
-0.4841988201574685 -0.3338738338861573
-0.5186461661036172 0.039783390258986806
-0.6344725434355463 -0.29425836800106064
0.6446120798812034 -0.8295739261593504
-0.4944891339401243 -0.08585657507596589
-0.2786836299717268 0.3771461946468635
0.5195339247497448 -0.0026110779841159726
-0.762658066973612 0.17020463809848607
0.10964461356177346 0.8248491341396191
0.0961012766605902 -0.2057033489233675
-0.5845689924771031 -0.3715868797184292
0.9496506813299364 0.9027680625540166
-0.9587423135801421 0.8571445358394982
0.5628560319222948 0.1730208157224864
-0.8844549828458184 -0.636892637852027
-0.30595619481461656 0.7922759514527287
0.1741662619223956 -0.20007579882119275
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0.3730288612854158 0.23346885778689397
-0.7103240237761952 0.9794476451267586
0.7526553136109191 0.2693069268835828
-0.7039683373311258 0.0035906341987468338
-0.27139349514437106 0.9882319919397042
0.5364826860655969 -0.49317870886634596
-0.6368403706362142 -0.13761426974137003
-0.6886890943774158 -0.7518231105543085
-0.54822109063481 -0.9683577904542275
-0.3992622420829246 -0.5452639172856251
-0.8326328405596073 -0.9964315058779685
0.02453487439073765 -0.20227016376024798
0.5495748632037503 0.36948662695634704
-0.4745473208410662 0.7804188725985894
-0.9221628212900783 -0.4081536382596036
-0.9616051674119843 -0.4239256433669554
0.9663209376070419 -0.37908445929270895
0.37629869225394175 -0.1745543577644486
-0.32363505842669804 -0.9329059393374148
-0.9224854763075712 -0.7343750220186569
0.9357951496040546 -0.8668978925653312
0.6684984847958173 0.6072395185240071
0.7319648823575673 -0.5392308085119377
0.5689874085036983 0.06418291861032799
0.22251985895301307 0.6518044993777052
-0.7075999455536286 -0.9018420531195248
-0.8305139721773633 -0.6188539525697614
-0.5213545467893614 -0.033599825137355044
-0.2981600725393925 -0.14558983261481662
-0.8347894667640601 -0.2788886430477844
0.2715136682789854 0.7054834214416419
-0.7005170264415332 -0.46188724843708906
0.37882246465267566 -0.6569425954251444
-0.7163664590812981 0.2535470862745264
0.7653507180892718 -0.9887083636349274
-0.9953256496166156 -0.6666166540479987
0.5339057954112081 -0.5760548012090887
0.7369199093727765 -0.7679770457034216
0.2535151149707653 -0.5238694026228283
0.13113988591318138 0.2232355673276314
0.2086151691217064 0.16495722847141758
0.5621058462175919 0.7874847044558462
-0.8096722245172627 0.11013485585183669
-0.049369019978785955 0.9617024916254624
-0.29244583368116994 0.8272430727313687
-0.917020058310315 -0.3832472094575232
-0.7111916304992416 -0.2422710862866282
-0.08618080592095567 0.3089527570417405
-0.8067297986994739 -0.1925865688676338
-0.42841574774272106 -0.4913848146544533
-0.1387649347091695 -0.685239822102949
-0.7811081969833482 -0.03710234745352459
-0.2115153235315932 -0.29447667431186164
-0.29417780017663886 0.49331159072265174
-0.8466335376514098 -0.9454566293010358
Hidden Weights:
0.8755676432107309 0.05003168826299276
0.36901005410919985 0.27208775153771003
Options: -M 0.1
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.3
-S 105218683
-H 2
-M 0.1
Input Weights:
-0.5265145058768783 0.940836226139411
-0.7995248433261364 0.2943832377709914
0.8586579251646673 -0.38338365922852913
-0.9458777939129113 0.5659859902928301
0.774468687719678 -0.09855932167701109
0.3592837531368027 0.17386053157519643
-0.5211987136409006 -0.5444587784950206
-0.6784300854642278 0.5467366002901568
0.41772640915650183 -0.25756287720906923
-0.41774846710986413 -0.34466732379334974
-0.7845665601107363 0.8729362849964601
-0.5481950921622989 0.6775343990910958
-0.17236038757441663 -0.44627403944026156
-0.18930096724800705 -0.195924629039115
0.9682059996449703 0.5691087346752415
-0.884624128803029 -0.6794425128853561
0.3009291387910866 0.8948300508674578
-0.8376837804229618 -0.0754382646970011
0.14950344143342686 -0.8268318068609788
0.07653688230488132 0.09064293375498722
0.30009699018352354 -0.5592114398593697
-0.36865383175990996 -0.8246874588739432
-0.746750982546412 -0.26368518105116134
-0.3290445420191488 -0.4284177043724178
0.6440177686836182 0.5329067333405573
-0.23737497084525283 0.5099131003591708
-0.17062467306894247 0.32087035381257634
-0.11482459323310334 -0.29012860469100343
0.3963999856025864 0.5537340251042795
-0.9305639624194741 -0.11641205888571671
-0.15075001463585092 -0.5156920925165014
-0.4841988201574685 -0.3338738338861573
-0.5186461661036172 0.039783390258986806
-0.6344725434355463 -0.29425836800106064
0.6446120798812034 -0.8295739261593504
-0.4944891339401243 -0.08585657507596589
-0.2786836299717268 0.3771461946468635
0.5195339247497448 -0.0026110779841159726
-0.762658066973612 0.17020463809848607
0.10964461356177346 0.8248491341396191
0.0961012766605902 -0.2057033489233675
-0.5845689924771031 -0.3715868797184292
0.9496506813299364 0.9027680625540166
-0.9587423135801421 0.8571445358394982
0.5628560319222948 0.1730208157224864
-0.8844549828458184 -0.636892637852027
-0.30595619481461656 0.7922759514527287
0.1741662619223956 -0.20007579882119275
-0.24477503929187483 -0.05745322447450807
0.3730288612854158 0.23346885778689397
-0.7103240237761952 0.9794476451267586
0.7526553136109191 0.2693069268835828
-0.7039683373311258 0.0035906341987468338
-0.27139349514437106 0.9882319919397042
0.5364826860655969 -0.49317870886634596
-0.6368403706362142 -0.13761426974137003
-0.6886890943774158 -0.7518231105543085
-0.54822109063481 -0.9683577904542275
-0.3992622420829246 -0.5452639172856251
-0.8326328405596073 -0.9964315058779685
0.02453487439073765 -0.20227016376024798
0.5495748632037503 0.36948662695634704
-0.4745473208410662 0.7804188725985894
-0.9221628212900783 -0.4081536382596036
-0.9616051674119843 -0.4239256433669554
0.9663209376070419 -0.37908445929270895
0.37629869225394175 -0.1745543577644486
-0.32363505842669804 -0.9329059393374148
-0.9224854763075712 -0.7343750220186569
0.9357951496040546 -0.8668978925653312
0.6684984847958173 0.6072395185240071
0.7319648823575673 -0.5392308085119377
0.5689874085036983 0.06418291861032799
0.22251985895301307 0.6518044993777052
-0.7075999455536286 -0.9018420531195248
-0.8305139721773633 -0.6188539525697614
-0.5213545467893614 -0.033599825137355044
-0.2981600725393925 -0.14558983261481662
-0.8347894667640601 -0.2788886430477844
0.2715136682789854 0.7054834214416419
-0.7005170264415332 -0.46188724843708906
0.37882246465267566 -0.6569425954251444
-0.7163664590812981 0.2535470862745264
0.7653507180892718 -0.9887083636349274
-0.9953256496166156 -0.6666166540479987
0.5339057954112081 -0.5760548012090887
0.7369199093727765 -0.7679770457034216
0.2535151149707653 -0.5238694026228283
0.13113988591318138 0.2232355673276314
0.2086151691217064 0.16495722847141758
0.5621058462175919 0.7874847044558462
-0.8096722245172627 0.11013485585183669
-0.049369019978785955 0.9617024916254624
-0.29244583368116994 0.8272430727313687
-0.917020058310315 -0.3832472094575232
-0.7111916304992416 -0.2422710862866282
-0.08618080592095567 0.3089527570417405
-0.8067297986994739 -0.1925865688676338
-0.42841574774272106 -0.4913848146544533
-0.1387649347091695 -0.685239822102949
-0.7811081969833482 -0.03710234745352459
-0.2115153235315932 -0.29447667431186164
-0.29417780017663886 0.49331159072265174
-0.8466335376514098 -0.9454566293010358
Hidden Weights:
0.8755676432107309 0.05003168826299276
0.36901005410919985 0.27208775153771003
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.4016
Root mean squared error 0.4332
Relative absolute error 109.8188 %
Root relative squared error 101.304 %
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 0.3998
Root mean squared error 0.4311
Relative absolute error 110.0578 %
Root relative squared error 101.4945 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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