Table 2.

Performance comparison of GTB with other machine learning algorithms(k-NN, RF and SVM)

	AUC	ACC	SEN	SPE	F1-Score	MCC
KNN	0.916	0.860	0.871	0.849	0.862	0.721
RF	0.969	0.918	0.868	0.966	0.913	0.839
SVM	0.973	0.931	0.921	0.940	0.930	0.862
PLIPCOM	0.982	0.947	0.931	0.963	0.946	0.895