Table 6.

Performance of refinement models on HG001 and HG002 mixed dataset

	F1 score	Precision	Recall	Accuracy	AUC-ROC
LGBM	0.946	0.920	0.973	0.909	0.894
XGB	0.946	0.920	0.973	0.909	0.894
RF	0.945	0.918	0.973	0.907	0.890
LR	0.940	0.909	0.972	0.898	0.869
KNN	0.945	0.918	0.973	0.907	0.883
NB	0.937	0.912	0.963	0.894	0.869
MLP	0.903	0.823	1.000	0.824	0.877
FTT	0.945	0.917	0.974	0.907	0.888