TABLE 2.

Classification performance of different trained models.

	DT	NB	KNN	NN	SVM	XGB	RF
ACC (%)	73.494%	74.465%	74.918%	76.177%	80.504%	78.925%	80.668%
Sn	0.714	0.696	0.690	0.721	0.758	0.789	0.752
Sp	0.756	0.814	0.808	0.803	0.852	0.791	0.861
AUC	0.766	0.793	0.791	0.831	0.878	0.861	0.877

The highest values are in bold.