Table 3.

The mean results were performed by different classifiers model

Indicator	AdaBoost	KNN	LR	RF	SVM	BGF-CMAP
Acc. (%)	81.36 ± 0.43	71.69 ± 0.50	76.24 ± 0.45	76.17 ± 0.46	69.40 ± 0.81	82.90 ± 0.27
Sen. (%)	80.70 ± 0.46	70.14 ± 1.18	75.73 ± 0.46	75.88 ± 1.91	66.78 ± 1.00	81.96 ± 0.52
Spe. (%)	82.02 ± 0.46	73.24 ± 1.00	76.75 ± 0.54	76.47 ± 2.57	72.01 ± 1.04	83.84 ± 0.35
Pre. (%)	81.77 ± 0.45	72.39 ± 0.61	76.51 ± 0.49	76.38 ± 1.54	70.47 ± 0.90	83.53 ± 0.28
MCC (%)	62.72 ± 0.85	43.41 ± 1.0	52.48 ± 0.90	52.39 ± 0.92	38.85 ± 1.62	65.81 ± 0.52
AUC	0.8886 ± 0.0024	0.7736 ± 0.0045	0.8359 ± 0.0037	0.8349 ± 0.0048	0.7713 ± 0.0061	0.9075 ± 0.0016