Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 100000 -E 0.3 -S 527716146 -H 2 -M 0.3 Input Weights: 0.05783970496638369 0.5520445032213788 -0.28891230005909185 0.7786027873793995 -0.005679981078910101 -0.2826955815272103 0.5037256573405158 -0.5513348542074636 -0.668997691233425 0.34885096887678246 0.10887990806449266 0.008478218606452703 -0.08640650908735403 -0.6152617949892503 0.3290485975113231 0.6170055873348887 0.321236413829181 0.8883369137356061 0.39504354079976123 -0.23922873575631587 -0.7465057854737518 0.24010732187833894 0.47819684260032225 -0.8676049147566534 -0.9543315811595883 0.5271819139191247 -0.16128600602389165 0.5266164599733543 -0.885301050888774 -0.8795889621772672 0.8997139135748724 0.3799508411990724 0.9719460943190188 0.17987363702119197 -0.8487491356436505 -0.1012021577128448 -0.03599574001378847 0.5522754508326686 -0.6822054626179475 0.9920058517612962 0.7765446867434589 0.3284741114903924 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mean squared error 0.433 Relative absolute error 110.4376 % Root relative squared error 101.279 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 83 7758 | a = >50K 1 24719 | b = <=50K === Error on test data === Correctly Classified Instances 12484 76.6783 % Incorrectly Classified Instances 3797 23.3217 % Mean absolute error 0.4019 Root mean squared error 0.4308 Relative absolute error 110.6202 % Root relative squared error 101.4239 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 49 3797 | a = >50K 0 12435 | b = <=50K