Table 2.

Average Performance of different models.

Methods	Features	Feature Reduction (%)	Accuracy (%)	ROC AUC (%)	Sensitivity (%)	Specificity (%)
Data set 1
MCM	1024	0	82.60±0.77	91.01±0.17	93.11±0.23	73.44±0.42
FCM	950	7.2	76.22±1.51	82.45±0.53	77.01±0.59	72.63±0.70
SFM	1024	0	77.58±1.32	83.23±0.39	77.98±0.17	76.05±0.19
SVM	1024	0	78.05±1.21	84.23±1.10	77.03±1.10	79.47±0.24

Data set 2
MCM	1024	0	83.94±0.65	90.81±0.17	89.91±0.14	78.54±1.02
FCM	926	9.5	72.91±1.09	80.15±1.01	74.18±0.59	73.17±0.61
SFM	1024	0	73.48±1.29	81.35±1.12	73.98±0.15	74.68±1.20
SVM	1024	0	75.35±1.42	82.39±0.51	75.40±1.03	77.43±0.27

± value indicates the standard deviation.