Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 100000 -E 0.01 -S 486813209 -H 2 -M 0.01 Input Weights: 0.41215966644025426 -0.24601987673104442 0.42843122670465683 0.132579561081982 -0.19993466585646136 0.8226956593269281 -0.2049902444476388 -0.2482933132672236 -0.5065926113410135 0.5001324992543714 -0.7753916681412825 -0.6915652404216344 -0.18514505987507746 -0.18307052969631998 -0.9982394863333521 -0.7075013786336246 -0.07455322873440684 -0.7319940457115244 -0.5697635132210352 0.497962273925844 0.8657928013373921 0.633336625225988 -0.0458083147836601 0.7481129837306761 -0.16668174172751105 -0.20884450969751134 -0.6048584278437141 0.7329826180806034 -0.10316294214502975 -0.049649662588156174 0.015877489590059968 -0.9155273477477004 -0.6701803705413851 -0.35892225356195206 0.02750884975899548 -0.18120246442113164 -0.9511266691636628 -0.9649093150261243 -0.46463099887218684 0.7893658647538708 0.37769612498642835 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-0.8222336417504821 0.7913721995586005 -0.6775468756855261 0.24781679476426755 0.8094812969562848 -0.3188828907164438 0.7443375080474119 -0.29488966196434085 0.3241582859082526 -0.4549057523661175 0.39592655459580817 0.310012882364437 -0.3082851818170782 0.4142871633842624 -0.044128013361466545 -0.7071475060185533 0.7319670147475552 -0.4834164755925019 -0.047942950735462064 0.06992331568890853 0.7563275161376108 -0.20467276189436245 -0.7634782064790337 -0.8422089700333217 0.7178572127371103 0.12967617529991515 -0.08191772383051688 -0.7204870612269831 -0.3307607221191631 0.10468426905714923 -0.817962703472658 0.9958943344803435 -0.6616483908305397 -0.8806270876407438 0.6212177589901722 -0.49689205550515125 -0.5922965223574526 -0.7707512806587742 0.2821406905967372 -0.378719244677044 Hidden Weights: 0.5570692111388726 -0.4394813294671338 -0.2416593125787087 -0.20907652700826312 === Error on training data === Correctly Classified Instances 387 77.4 % Incorrectly Classified Instances 113 22.6 % Mean absolute error 0.3807 Root mean squared error 0.422 Relative absolute error 108.6245 % Root relative squared error 100.8999 % Total Number of Instances 500 === Confusion Matrix === a b <-- classified as 0 113 | a = >50K 0 387 | b = <=50K === Error on test data === Correctly Classified Instances 12435 76.3774 % Incorrectly Classified Instances 3846 23.6226 % Mean absolute error 0.3851 Root mean squared error 0.4272 Relative absolute error 108.1724 % Root relative squared error 100.5619 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 0 3846 | a = >50K 0 12435 | b = <=50K