Evaluation measures of Classifiers Output Prediction Based on Values Obtained with MLP Values Obtained with RBF Values Obtained with ARTMAP Performance Measures TP rate 0.007 0.862 0.698 FP rate 1 0.119 0.702 Accuracy % 99.74% 86.95% 54.05% Performance Error Measures MAE 0.0049 0.1649 0.4595 RMSE 0.0049 0.3018 0.6779 RAE% 1.03% 34.51% 96.18% RRSE% 10.78% 61.76% 138.71% Time taken in seconds   16.97s 0.32s 0.98s

Table 3: Performance Evaluation results of MLP model for three month survival prediction with RBF and ARTMAP. P rate: True Positive rate, FP rate: False Positive rate, MAE: Mean Absolute Error, RMSE: Root Mean Squared Error, RAE: Relative Absolute Error, RRSE: Root Relative Squared Error, MLP: Multilayer Perceptron, RBF: Radial Basis Function, ARTMAP: Adaptive Resonance Theory MAP.