Table 2.

The classification results of SVM classifier.

		CA	AUC	SE	SP
Intra-session	Session 1	0.950	0.976	1.000	0.900
	Session 2	0.850	0.918	0.800	0.900
Inter-session	Session 1∗	0.950	0.973	0.898	1.000
	Session 2∗	0.900	0.942	0.900	0.900

CA, classification accuracy; AUC, area under ROC curves; SE, sensitivity; SP, specificity. The session 1 with asterisk (^∗) denoted the classification results of session 1 with WM data in session 2 as training samples. The session 2 with asterisk (^∗) denoted the classification results of session 2 with WM data in session 1 as training samples.