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
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0.4081636832856266 -0.2766781742025395
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0.5546875133900797 0.2404931331323117
0.32452758419350514 0.056303397738563854
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0.5370945254813089 0.22785412279605954
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0.5573172258274603 0.2333918551278884
-0.12540196685580596 -0.27007999926359205
0.1515944457466578 0.6147176453104941
0.9558519958735003 0.7226153071296004
0.6010909799124049 0.46651428006958184
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0.6118222157033297 0.7549756192668109
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0.46144143372327506 -0.12275321629849412
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-0.8642500572599514 -0.18331594157442943
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0.23807116314970034 0.09454105043727168
-0.3849913617545704 0.5050091211841645
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0.10983401024838435 -0.09825961902909364
-0.47429564280285974 0.7271277363301989
0.6084599667021455 -0.7409825047606087
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0.6672679090978277 0.11011786247916255
0.999614887471699 0.5242310860491366
0.46474810218726703 -0.49532957303209413
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-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
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0.9471824746943607 0.49359932690652064
0.2904468556649753 0.09958001511432069
0.8417965053380891 -0.9248021459838891
0.3852749929746715 0.7571211442071477
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0.611664877814458 0.6445053738046509
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0.7671225388611094 -0.6712174359595953
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0.10206578976884839 0.5153788415872351
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0.8709874917434959 0.8127916790512908
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0.7095799726299318 0.5608527898143687
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0.48595380540827726 -0.36509072795044584
0.6003845039813329 -0.8087283422722138
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0.7326999618322159 0.976263731151513
0.3080341219882001 -0.3807448358291614
0.09500415425374364 0.6821363918734633
0.5766939020467157 0.48448146091165145
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0.08733077089890973 0.8090786819396616
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-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
|