Table 5.

Performance comparison of FT-based Meta-learners on Dataset 2.

	FT-1	FT-2	FT-3	RoF-FT-1	RoF-FT-2	RoF-FT-3	BG-FT-1	BG-FT-2	BG-FT-3	BT-FT-1	BT-FT-2	BT-FT-3
Accuracy (%)	96.79	97.86	96.64	97.43	98.32	97.4	97.58	98.21	97.33	98.11	98.51	97.84
F-Measure	0.968	0.979	0.966	0.974	0.983	0.974	0.976	0.982	0.973	0.981	0.985	0.978
AUC	0.977	0.992	0.966	0.996	0.998	0.994	0.996	0.997	0.994	0.997	0.998	0.997
TP-Rate	0.968	0.979	0.966	0.974	0.983	0.974	0.976	0.982	0.973	0.981	0.985	0.978
FP-Rate	0.032	0.021	0.034	0.026	0.017	0.026	0.024	0.018	0.027	0.019	0.015	0.022
MCC	0.936	0.957	0.933	0.949	0.966	0.948	0.952	0.964	0.947	0.962	0.970	0.957