Table 4. Results of HC vs. MCI classification.

HCvsMCI	Classifiers	AUC	ACC	SEN	SPE	PRE	F1	Cohen
CSC	KNN	80.35	71.47	81.75	77.41	82.03	86.10	0.8202
	MK-SVM	84.23	78.10	88.35	83.91	82.83	81.03	0.7891
HV+AN	KNN	81.52	75.45	87.50	86.05	84.30	87.88	0.8540
	MK-SVM	85.00	85.45	92.40	86.12	86.33	87.13	0.8303
Genetics (APoE ε4)	KNN	77.81	68.14	84.30	75.43	83.11	84.05	0.7935
	MK-SVM	80.99	75.75	82.03	87.59	82.20	85.38	0.8805
Proposed Method	KNN	86.45	81.33	89.05	84.83	86.15	87.91	0.8085
	MK-SVM	92.55	89.77	96.15	87.35	87.38	85.30	0.8908

(Area Under Curve=AUC; Accuracy=ACC; Sensitivity=SEN; Specificity=SPE; Precision=PRE)