TABLE 2. Classification Results of Different Classifiers on .

Features	Classifier	AUC	ACC	Specificity	Sensitivity
	LDA	0.65±0.02	0.70±0.02	0.70±0.14	0.74±0.04
	QDA	0.58±0.10	0.65±0.08	0.65±0.21	0.65±0.22
	RF	0.57±0.09	0.63±0.08	0.56±0.26	0.72±0.27
	SVM (Gaussian Radial basis Kernel)	0.54±0.12	0.60±0.06	0.58±0.01	0.62±0.06
	LDA	0.56±0.04	0.65±0.04	0.71±0.04	0.60±0.03
	QDA	0.53±0.05	0.64±0.02	0.70±0.22	0.55±0.01
	RF	0.54±0.10	0.63±0.08	0.65±0.24	0.56±0.26
	SVM (Gaussian Radial basis Kernel)	0.52±0.02	0.60±0.11	0.62±0.11	0.51±0.04
()	LDA	0.73±0.09	0.75±0.07	0.73±0.06	0.72±0.06
	QDA	0.65±0.09	0.70±0.07	0.70±0.18	0.68±0.19
	RF	0.68±0.09	0.73±0.08	0.76±0.16	0.60±0.20
	SVM (Gaussian Radial basis Kernel)	0.66±0.05	0.73±0.01	0.71±0.04	0.63±0.03