Table 3.

Classification results with the set of multiple parameters from single network is taken as input feature vector.

Method	Best input	Accuracy	Sensitivity	Specificity
	vector length
CFS	3	0.9259	0.9434	0.9091
DGUFS	4	0.8734	0.8772	0.8696
Fisher	2	0.8969	0.9259	0.8696
FSV	3	0.9341	0.9379	0.9321
LLCFS	6	0.9009	0.9091	0.8929
mRMR	5	0.7937	0.7692	0.8197