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 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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 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-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