TABLE 7.

10-fold cross-validation binary mean classification performance for HC against MCI using LSVM classifier using different feature selection methods.

Feature selection method	Performance metrics	Mean (%)	Standard deviation	Max (%)	Min (%)
LASSO	Accuracy	98.91	0.456	99.25	95.82
	Sensitivity	99.68	0.56	100.0	95.48
	Specificity	98.11	0.46	98.51	96.00
	F-measure	0.9856
FSASL	Accuracy	81.28	1.010	83.01	77.64
	Sensitivity	84.61	1.389	86.62	79.81
	Specificity	77.92	1.121	79.81	73.038
	F-measure	0.833
LLCFS	Accuracy	76.27	0.631	78.31	74.70
	Sensitivity	71.08	1.388	75.37	68.23
	Specificity	81.40	1.005	82.69	76.80
	F-measure	0.800
CFS	Accuracy	86.16	2.25	88.96	80.47
	Sensitivity	92.28	2.33	95.11	86.14
	Specificity	79.72	2.375	82.75	73.88
	F-measure	0.8517
SVMRFE	Accuracy	71.92	0.832	74.43	69.93
	Sensitivity	66.90	1.493	71.14	63.53
	Specificity	76.68	1.187	79.61	72.88
	F-measure	0.7762