Table 4.

Performance comparison of FT-based Meta-learners on Dataset 1.

	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 (%)	95.50	96.07	95.22	96.78	96.83	96.49	96.77	96.57	96.44	97.00	97.19	96.9
F-Measure	0.955	0.961	0.952	0.968	0.968	0.965	0.968	0.966	0.964	0.970	0.972	0.969
AUC	0.973	0.987	0.951	0.995	0.996	0.988	0.995	0.995	0.990	0.996	0.995	0.995
TP-Rate	0.955	0.961	0.952	0.968	0.968	0.965	0.968	0.966	0.964	0.970	0.972	0.969
FP-Rate	0.048	0.041	0.051	0.035	0.033	0.037	0.035	0.036	0.037	0.032	0.031	0.033
MCC	0.909	0.920	0.903	0.935	0.936	0.929	0.935	0.93	0.928	0.939	0.943	0.937