TABLE 3.

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

Feature selection method	Performance metrics	Mean (%)	Standard deviation	Max (%)	Min (%)
LASSO	Accuracy	87.723	0.468	88.663	85.82
	Sensitivity	90.93	0.341	91.525	89.50
	Specificity	84.52	0.792	85.891	82.14
	F-measure	0.883
FSASL	Accuracy	76.181	1.069	78.551	73.45
	Sensitivity	76.233	1.255	78.839	72.58
	Specificity	75.664	1.264	77.868	72.20
	F-measure	0.785
LLCFS	Accuracy	75.737	1.004	78.690	71.64
	Sensitivity	74.205	1.069	77.031	70.11
	Specificity	77.881	1.378	81.036	73.64
	F-measure	0.817
CFS	Accuracy	80.517	1.737	82.86	74.005
	Sensitivity	80.035	1.813	82.22	73.25
	Specificity	79.16	1.977	81.79	73.084
	F-measure	0.867
SVM-RFE	Accuracy	68.57	1.186	70.474	65.60
	Sensitivity	75.99	1.676	78.832	71.715
	Specificity	60.92	1.301	63.426	57.34
	F-measure	0.6743