Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	100
	-E	0.3
	-S	60020906
	-H	2
	-M	0.3
Input Weights:
	-0.3187811472559181	-0.16249908277150782
	0.10863412884492596	0.7520029448690624
	-0.8934878605531882	0.015113874249354842
	-0.1472978201114552	0.598083967621065
	0.4081636832856266	-0.2766781742025395
	-0.08739254763248949	-0.1341373706205542
	0.5546875133900797	0.2404931331323117
	0.32452758419350514	0.056303397738563854
	-0.012471343916719002	-0.4398579678287806
	-0.2628156590461115	-0.8790041247223666
	-0.2803013063289017	0.25895970096231347
	0.5370945254813089	0.22785412279605954
	-0.8524451220559315	0.07944857100984448
	0.5573172258274603	0.2333918551278884
	-0.12540196685580596	-0.27007999926359205
	0.1515944457466578	0.6147176453104941
	0.9558519958735003	0.7226153071296004
	0.6010909799124049	0.46651428006958184
	-0.9976592852648059	0.5589993837659613
	-0.692601994498431	0.5783697985578287
	0.25809879168476857	0.9036808697432155
	0.9681482299824951	-0.14088379041341526
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	-0.6962656670039498	0.680870610267478
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	-0.7756216506653903	0.8958258966168893
	-0.08160722066858939	0.018529271599946995
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	-0.2649298714524848	-0.33713505940261945
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	-0.16562415396310914	-0.8880815998141911
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	0.8713884447163829	0.8127916790512908
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	-0.29349029858067954	0.6417671193532315
	0.48595380540827726	-0.36509072795044584
	0.6003845039813329	-0.8087283422722138
	-0.9683258940596626	-0.13007063571300526
	0.04259216997949933	0.1805778989091249
	0.24347049565604117	-0.15640773296523935
	0.6814744069408882	-0.2459484886954355
	0.6032944176161772	-0.581958760607165
	0.9497866237860186	-0.6215444655750415
	0.7326999618322159	0.976263731151513
	0.3080341219882001	-0.3807448358291614
	0.09500415425374364	0.6821363918734633
	0.5766939020467157	0.48448146091165145
	-0.6632168382231294	0.7600519375750054
	0.08733077089890973	0.8090786819396616
	-0.037643658905499144	-0.6266982306635349
	-0.8289242414450422	-0.6020326076046663
	-0.9061853400693016	-0.33363933712172855
	-0.9562850651306678	0.8223948372561631
	0.6118222157033297	0.7549756192668109
	-0.9489380308667696	-0.9390352546369594
	-0.2804416253853743	-0.42666451210661926
	0.46144143372327506	-0.12275321629849412
	-0.7617720762135369	0.5371656421591553
	-0.6671858266070423	0.8070143902175655
	-0.8642500572599514	-0.18331594157442943
	-0.41708478802336635	0.8606497371864581
	-0.08750137605386166	-0.16095635945529496
	0.23807116314970034	0.09454105043727168
	-0.3849913617545704	0.5050091211841645
	-0.7397990064840176	0.7275828235971462
	0.10983401024838435	-0.09825961902909364
	-0.47429564280285974	0.7271277363301989
	0.6084599667021455	-0.7409825047606087
	-0.027909790615450403	0.10863124109363609
	0.6672679090978277	0.11011786247916255
	0.999614887471699	0.5242310860491366
	0.46474810218726703	-0.49532957303209413
	-0.37903013561199295	0.09081792470061667
	-0.8541067836533238	-0.5532515165103034
	0.14100691267622212	-0.5452715359195359
Hidden Weights:
	0.21319255108381774	-0.4712591693775403
	0.7468604620932962	0.7532842226386018


Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
	-I	100
	-E	0.3
	-S	60020906
	-H	2
	-M	0.3
Input Weights:
	-0.3187833559180017	-0.16249908277150782
	0.10863407497511905	0.7520029448690624
	-0.8934878605531882	0.015113874249354842
	-0.1472978201114552	0.598083967621065
	0.4081636832856266	-0.2766781742025395
	-0.08739254763248949	-0.1341373706205542
	0.5546875133900797	0.2404931331323117
	0.32452758419350514	0.056303397738563854
	-0.012471343916719002	-0.4398579678287806
	-0.26414963707481026	-0.8790041247223666
	-0.2803013063289017	0.25895970096231347
	0.5370945254813089	0.22785412279605954
	-0.8524451220559315	0.07944857100984448
	0.5573171719576534	0.2333918551278884
	-0.12540196685580596	-0.27007999926359205
	0.1515944457466578	0.6147176453104941
	0.9558519958735003	0.7226153071296004
	0.6010909799124049	0.46651428006958184
	-0.9976592852648059	0.5589993837659613
	-0.692601994498431	0.5783697985578287
	0.25809879168476857	0.9036808697432155
	0.9681482299824951	-0.14088379041341526
	-0.608508294960926	0.5825129715695321
	-0.27067293945876747	0.3442611914848126
	0.7365888168022321	0.15755012413771752
	-0.6962656670039498	0.680870610267478
	-0.9191276932951251	0.6767583561170387
	-0.7756216506653903	0.8958258966168893
	-0.0816072745383963	0.018529271599946995
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	-0.9379758951654014	0.44270387688045476
	-0.9192221368918361	0.579002714991399
	-0.5820101087051677	-0.24269287910234372
	-0.5297294839824012	-0.12374286188621553
	0.9471824746943607	0.49359932690652064
	0.2904468556649753	0.09958001511432069
	0.8417965053380891	-0.9248021459838891
	0.3852749929746715	0.7571211442071477
	-0.2031922880375352	0.9374891176593723
	0.611664877814458	0.6445053738046509
	-0.8879000447959042	-0.48733449672430007
	0.7671225388611094	-0.6712174359595953
	-0.02548427994947189	-0.10143923374462882
	0.2719166083526652	0.09462759497256878
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	-0.11815163681108982	0.7286639717819063
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	0.14095734558993467	0.8969989793333879
	0.14359389916438392	-0.7894046075683683
	-0.16562415396310914	-0.8880815998141911
	0.10206578976884839	0.5153788415872351
	-0.11287417194101985	0.7848245444028972
	0.8709874917434959	0.8127916790512908
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	-0.29349035245048644	0.6417671193532315
	0.48595380540827726	-0.36509072795044584
	0.6003845039813329	-0.8087283422722138
	-0.9683258940596626	-0.13007063571300526
	0.04259216997949933	0.1805778989091249
	0.24347049565604117	-0.15640773296523935
	0.6814744069408882	-0.2459484886954355
	0.6032944176161772	-0.581958760607165
	0.9497866237860186	-0.6215444655750415
	0.7326999618322159	0.976263731151513
	0.3080341219882001	-0.3807448358291614
	0.09500415425374364	0.6821363918734633
	0.5766939020467157	0.48448146091165145
	-0.6632168382231294	0.7600519375750054
	0.08733077089890973	0.8090786819396616
	-0.037643658905499144	-0.6266982306635349
	-0.8289242414450422	-0.6020326076046663
	-0.9061853400693016	-0.33363933712172855
	-0.9562850651306678	0.8223948372561631
	0.6118222157033297	0.7549756192668109
	-0.9489380308667696	-0.9390352546369594
	-0.2804416253853743	-0.42666451210661926
	0.46144143372327506	-0.12275321629849412
	-0.7617720762135369	0.5371656421591553
	-0.6671858266070423	0.8070143902175655
	-0.8642500572599514	-0.18331594157442943
	-0.41708478802336635	0.8606497371864581
	-0.08750137605386166	-0.16095635945529496
	0.23807116314970034	0.09454105043727168
	-0.3849913617545704	0.5050091211841645
	-0.7397990064840176	0.7275828235971462
	0.10983401024838435	-0.09825961902909364
	-0.47429564280285974	0.7271277363301989
	0.6084599667021455	-0.7409825047606087
	-0.027909790615450403	0.10863124109363609
	0.6672679090978277	0.11011786247916255
	0.999614887471699	0.5242310860491366
	0.46474810218726703	-0.49532957303209413
	-0.37903013561199295	0.09081792470061667
	-0.8541067836533238	-0.5532515165103034
	0.14100691267622212	-0.5452715359195359
Hidden Weights:
	3.047424343531598	-3.0482955193656824
	0.11354542935592253	-0.10270511086678633



=== Error on training data ===

Correctly Classified Instances       24905               76.4872 %
Incorrectly Classified Instances      7656               23.5128 %
Mean absolute error                      0.3823
Root mean squared error                  0.426 
Relative absolute error                104.5658 %
Root relative squared error             99.6294 %
Total Number of Instances            32561     


=== Confusion Matrix ===

     a     b   <-- classified as
   187  7654 |     a = >50K
     2 24718 |     b = <=50K


=== Error on test data ===

Correctly Classified Instances       12530               76.9609 %
Incorrectly Classified Instances      3751               23.0391 %
Mean absolute error                      0.3802
Root mean squared error                  0.4235
Relative absolute error                104.6668 %
Root relative squared error             99.6982 %
Total Number of Instances            16281     


=== Confusion Matrix ===

     a     b   <-- classified as
    95  3751 |     a = >50K
     0 12435 |     b = <=50K