Table 4: The comparison of ICA algorithm’s effect on the classifiers’ performance measures (sensitivity, specificity, accuracy, and -score in %).

Measures-NNANNRBFNNSVM (RBF K.)
1F30F1F30F1F30F 1F30F

-score92.9894.65 92.7698.07 92.6180.57 93.0496.21
DP2.5392.912 2.655InF 2.6061.131 2.7693.267
0.7950.839 0.7660.934 0.7630.284 0.7720.899
Accuracy91.0393.14 90.597.53 90.4987.17 90.8695.25
Specificity84.987.26 79.7193.39 79.7134.9 79.7193.86
Sensitivity94.6796.63 96.91100 96.6393.55 97.4796.07