TABLE 8.

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

Feature selection method	Performance metrics	Mean (%)	Standard deviation	Max (%)	Min (%)
LASSO	Accuracy	97.80	0.9862	98.32	91.99
	Sensitivity	97.62	1.0065	97.92	91.73
	Specificity	97.74	1.0720	98.5	92.07
	F-measure	0.98
FSASL	Accuracy	83.71	0.90	85.00	78.15
	Sensitivity	90.63	1.57	92.23	84.12
	Specificity	77.10	1.098	79.74	72.55
	F-measure	0.838
LLCFS	Accuracy	90.04	1.43	92.02	86.07
	Sensitivity	90.23	1.43	91.94	86.74
	Specificity	90.09	1.77	92.52	84.62
	F-measure	0.903
CFS	Accuracy	84.41	1.95	86.81	79.18
	Sensitivity	90.37	2.14	93.26	83.73
	Specificity	78.10	1.90	80.79	72.84
	F-measure	0.83
SVMRFE	Accuracy	82.87	0.903	83.96	78.832
	Sensitivity	81.68	1.22	84.34	77.10
	Specificity	84.11	0.94	85.21	80.72
	F-measure	0.854