TABLE 2.

Performance of the optimal classifiers based on different classification algorithms on four brain structures.

Dataset of brain structure	Classification algorithm	Number of features	ACC	MCC	F1-measure
CRB dataset	RF	38	0.985	0.968	0.979
	SVM	16	0.970	0.936	0.957
	PART	6	0.925	0.846	0.902
ERC dataset	RF	1	0.986	0.966	0.976
	SVM	4	0.986	0.966	0.976
	PART	2	0.971	0.934	0.952
DLPFC dataset	RF	6	0.985	0.967	0.977
	SVM	20	1.000	1.000	1.000
	PART	2	0.941	0.868	0.909
HIPPO dataset	RF	15	0.969	0.926	0.944
	SVM	18	1.000	1.000	1.000
	PART	34	0.969	0.920	0.938