Table 4. Performance comparison of M^SPV, , and , M^MPV, , and , in terms of , , , and AUC, evaluated evaluated on datasets A, B, and C.

Dataset	Techniques	(%)	(%)	(%)	AUC
Dataset A	MSPV	67.59	67.44	67.51	0.72
		70.26	71.37	70.81	0.75
		70.91	81.33	75.76	0.79
	MMPV	65.27	77.86	71.01	0.72
		77.64	71.53	74.46	0.77
		79.94	78.46	79.19	0.82
Dataset B	MSPV	80.51	68.34	73.93	0.77
		75.81	74.89	75.35	0.79
		79.54	72.04	75.60	0.79
	MMPV	75.37	75.36	75.36	0.78
		78.57	75.27	76.88	0.80
		79.29	73.80	76.44	0.80
Dataset C	MSPV	72.00	76.00	73.95	0.74
		73.00	78.00	75.42	0.75
		73.00	79.00	75.88	0.75
	MMPV	76.43	74.99	75.70	0.77
		72.00	82.00	76.68	0.77
		74.00	81.00	77.34	0.77
Dataset D	MSPV	60.58	52.70	56.37	0.56
		64.94	55.44	59.81	0.61
		66.63	51.31	57.98	0.62
	MMPV	60.40	59.76	60.08	0.60
		66.01	57.85	61.66	0.64
		67.65	61.15	64.24	0.67
All	MSPV	64.33	66.93	65.60	0.66
		74.33	62.58	67.95	0.68
		75.45	62.43	68.32	0.70
	MMPV	75.62	61.53	67.85	0.67
		72.64	65.09	68.65	0.71
		72.02	69.16	70.56	0.73

The highest performance for each dataset for each metric is shown in bold.