Table 8: The performance gained from generalized feedforward neural network models.

GFNN Model FA Model FB Pure GFNN Training Test Training Test Accuracy of classification 100% 86.63% 100% 86.63% Sensitivity 100% 82.35% 100% 82.35% Specificity 100% 90.91% 100% 90.91% GFNN + GA Test Test Accuracy of classification 91.09% 78.39% Sensitivity 88.24% 76.47% Specificity 93.94% 80.30%