Table 3.

Performance of LGBMDF and baseline methods.

Model	Sn	Sp	MCC	AUC	AUPR
LGBMDF	0.9451	0.9471	0.8924	0.9844	0.9857
AOPEDF	0.9463	0.9447	0.8911	0.9842	0.9855
NEDTP	0.9194	0.9267	0.8462	0.9714	0.9690
SVM	0.8869	0.9286	0.8162	0.9668	0.9664
RF	0.9138	0.9348	0.8488	0.9784	0.9798

The bold values represent the maximum value of each estimator setting under each evaluation metric.