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

GFNNModel FAModel FB
Pure GFNNTrainingTestTrainingTest

Accuracy of classification100%86.63%100%86.63%
Sensitivity100%82.35%100%82.35%
Specificity100%90.91%100%90.91%

GFNN + GATestTest

Accuracy of classification91.09%78.39%
Sensitivity88.24%76.47%
Specificity93.94%80.30%