Table 5.

Feature evaluation using RFC compared to the performance of the related approaches using the same dataset.

Method	Accuracy (%)	Sensitivity (%)	Specificity (%)
MBCNN [20]	96.13	97.18	-
FDCNN [21]	98.29	99.10	93.90
LBPV (SVM) [23]	94.5	97.25	94.50
G-M (RFC)	99.33	99.39	99.25