TABLE 4.

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

Feature selection method	Performance metrics	Mean (%)	Standard deviation	Max (%)	Min (%)
LASSO	Accuracy	96.11	0.859	96.88	91.33
	Sensitivity	95.03	1.080	95.93	89.84
	Specificity	97.18	0.798	97.84	92.93
	F-measure	0.973
FSASL	Accuracy	85.85	0.9129	87.503	80.88
	Sensitivity	79.27	0.986	81.484	76.01
	Specificity	92.03	1.4433	93.308	85.40
	F-measure	0.937
LLCFS	Accuracy	82.29	0.624	83.39	80.77
	Sensitivity	77.54	0.73	78.566	75.408
	Specificity	86.81	1.081	88.41	83.74
	F-measure	0.85
CFS	Accuracy	80.67	1.68	90.427	74.48
	Sensitivity	88.43	2.328	74.968	80.49
	Specificity	72.38	1.3677	74.486	68.58
	F-measure	0.795
SVM-RFE	Accuracy	80.20	0.920	82.001	77.89
	Sensitivity	84.00	1.207	85.99	79.86
	Specificity	75.91	1.251	77.806	73.29
	F-measure	0.815