Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	500
	-E	0.5
	-S	119994454
	-H	2
	-M	0.5
Input Weights:
	-0.9025759008783791	-0.9768619648339314
	0.2753722254224251	0.32276371955260186
	0.2752291351160969	-0.5284105297908339
	0.31539928153045893	-0.5991599948187434
	-0.7236411382929184	-0.25619158761525296
	0.25236070187295256	0.10083899810264718
	-0.6176955314860944	-0.24104472980765013
	-0.3357624963563852	-0.5685202833916543
	0.9781333199656363	-0.44849183809066306
	-0.6125488448840366	0.05251080774929573
	-0.4158759323698211	0.6453594274327157
	-0.09841560686121209	0.09066127913588229
	0.6929912669188261	-0.48929250047868633
	0.3428608398464963	0.28502258875609665
	-0.5443845057795476	0.47694811383402325
	0.9543638236326284	0.7312665926023871
	-0.19937625943108883	-0.9571071367858572
	-0.8128877758341835	0.8453656112107002
	-0.6916606604498592	0.7699127597314648
	0.47300078128556033	0.5357166979441506
	-0.16050002987534384	-0.18089910536023113
	-0.36540732221715966	0.27222362490014573
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	-0.4337328618358147	-0.8252531460184682
	-0.17433769606462035	-0.9601204089214452
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	0.3493675921823127	0.9497545259116351
	-0.17162235664876846	-0.7779760702379239
	0.5574277860405816	0.3376625147047272
	-0.007791502906771441	-0.9227543788530974
	-0.5305021852883869	-0.6622068188353165
	0.6700224052118366	-0.019995012971398163
	-0.4862454333438586	-0.20915672313823097
	0.9355443262695957	0.8168260557614087
	0.7267936438040286	0.763545616147222
	0.25555736693247955	-0.05420246729058342
	0.0764540556572213	0.7860744872318803
	0.07351149414432756	-0.8576334895396505
	0.30883566047798294	-0.2484953596306203
	-0.49710572894242966	0.2489529375865669
	0.6981849452641171	0.6461563247182918
	0.1270999433526474	-0.1700433441774063
	-0.8097304603577966	0.6160306736270613
	0.19703509421706622	0.9822479955017993
	0.8214726545852369	-0.486962905379259
	-0.39544015533185495	-0.0651170217700372
	-0.10906259380702799	0.007286533645527893
	-0.5777141787730748	0.1768937682071583
	0.4292615324779696	0.6940800042924629
	0.6651886399434135	-0.0913460372461612
	-0.8441895011450729	-0.9441930361108188
	-0.532352396441844	0.7943327310096822
	0.802759207101696	0.4429939629308781
	-0.10464893134166475	0.8179097988514534
	0.7063189773817238	-0.20784438329523125
	0.03320420644932964	-0.12554425983173645
	-0.4331646214923619	0.07160725774394994
	0.30990436449436287	-0.7330370648675566
	0.7458802941997962	-0.49554986905493315
	-0.16709537584477308	-0.9242265851719502
	-0.7698119556946459	-0.38125863346389477
Hidden Weights:
	-0.8768714236412563	0.8703640972366213
	-0.8557837921126661	0.6262794481621143


Options: -E 0.5 -M 0.5 -I 500 

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	500
	-E	0.5
	-S	119994454
	-H	2
	-M	0.5
Input Weights:
	-0.9025759008783791	-0.9745680163214203
	0.2753722254224251	0.32283118862760923
	0.2752291351160969	-0.5284105297908339
	0.31539928153045893	-0.5991599948187434
	-0.7236411382929184	-0.25619158761525296
	0.25236070187295256	0.10083899810264718
	-0.6176955314860944	-0.24104472980765013
	-0.3357624963563852	-0.5685202833916543
	0.9781333199656363	-0.44849183809066306
	-0.6125488448840366	2.342748492211474
	-0.4158759323698211	0.6453594274327157
	-0.09841560686121209	0.09066127913588229
	0.6929912669188261	-0.48929250047868633
	0.3428608398464963	0.285090057831104
	-0.5443845057795476	0.47694811383402325
	0.9543638236326284	0.7312665926023871
	-0.19937625943108883	-0.9571071367858572
	-0.8128877758341835	0.8453656112107002
	-0.6916606604498592	0.7699127597314648
	0.47300078128556033	0.5357166979441506
	-0.16050002987534384	-0.18089910536023113
	-0.36540732221715966	0.27222362490014573
	0.38942500183367557	0.4990972980346311
	0.05788997340824942	0.1801687727087169
	-0.6615436499302252	-0.9305990841707246
	-0.9436588614437349	0.4675612588127849
	0.7326992606933378	0.48174276151071993
	-0.43495552741402377	0.5127840025896029
	-0.4176916439251881	0.06348206973810135
	-0.46529416985970684	-0.5157710087578731
	0.6285000389551836	-0.4475028465693056
	-0.39951796427270647	0.21841667331509207
	0.4195784754263727	0.8304162491880551
	-0.9197800370174096	0.6247891244098831
	-0.2412557015678971	0.6510236275488037
	0.7523605017089783	-0.4152782146728782
	0.14426167296206294	0.18950860664349078
	-0.33775413487135175	0.23309224560362557
	-0.6886011425485858	-0.9947609560615001
	-0.7631730869170374	0.8142157035504225
	-0.40512185518420885	0.8498232797425398
	-0.07435915309017904	-0.26603650536900303
	-0.15642039353515025	0.41892321263169485
	0.4479971603885049	0.8462926926521788
	-0.08710946945022102	0.7176472883566603
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	-0.6241847607078552	0.753373618302384
	-0.4337328618358147	-0.8252531460184682
	-0.17433769606462035	-0.9601204089214452
	-0.026977298892725488	-0.18472075788238618
	-0.2393858413916361	0.2576758132831716
	0.9688776718732324	0.8117995963616589
	0.3493675921823127	0.9497545259116351
	-0.17162235664876846	-0.7779760702379239
	0.5574277860405816	0.3376625147047272
	-0.007791502906771441	-0.9227543788530974
	-0.5305021852883869	-0.6622068188353165
	0.6700224052118366	-0.019995012971398163
	-0.4862454333438586	-0.20915672313823097
	0.9355443262695957	0.8168260557614087
	0.7267936438040286	0.763545616147222
	0.25555736693247955	-0.05420246729058342
	0.0764540556572213	0.7860744872318803
	0.07351149414432756	-0.8576334895396505
	0.30883566047798294	-0.2484953596306203
	-0.49710572894242966	0.2489529375865669
	0.6981849452641171	0.6461563247182918
	0.1270999433526474	-0.1700433441774063
	-0.8097304603577966	0.6160306736270613
	0.19703509421706622	0.9822479955017993
	0.8214726545852369	-0.486962905379259
	-0.39544015533185495	-0.0651170217700372
	-0.10906259380702799	0.007286533645527893
	-0.5777141787730748	0.1768937682071583
	0.4292615324779696	0.6940800042924629
	0.6651886399434135	-0.0913460372461612
	-0.8441895011450729	-0.9441930361108188
	-0.532352396441844	0.7943327310096822
	0.802759207101696	0.4429939629308781
	-0.10464893134166475	0.8179097988514534
	0.7063189773817238	-0.20784438329523125
	0.03320420644932964	-0.12554425983173645
	-0.4331646214923619	0.07160725774394994
	0.30990436449436287	-0.7330370648675566
	0.7458802941997962	-0.49554986905493315
	-0.16709537584477308	-0.9242265851719502
	-0.7698119556946459	-0.38125863346389477
Hidden Weights:
	-0.8768714236412563	0.8703640972366213
	-2.6334593720078647	2.6143654496471163



=== Error on training data ===

Correctly Classified Instances       24720               75.919  %
Incorrectly Classified Instances      7841               24.081  %
Mean absolute error                      0.3827
Root mean squared error                  0.4288
Relative absolute error                104.6529 %
Root relative squared error            100.2944 %
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                      0.3806
Root mean squared error                  0.4264
Relative absolute error                104.7661 %
Root relative squared error            100.3814 %
Total Number of Instances            16281     


=== Confusion Matrix ===

     a     b   <-- classified as
     0  3846 |     a = >50K
     0 12435 |     b = <=50K