Table 5. Performance comparison of M^SSAE, , and , in terms of , , , and AUC, evaluated on datasets A, B, and C.

Dataset	Techniques	(%)	(%)	(%)	AUC
Dataset A	MSSAE	33.60	47.53	39.37	0.36
		77.64	71.53	74.46	0.77
		79.94	78.46	79.19	0.82
Dataset B	MSSAE	75.07	82.64	78.67	0.81
		78.57	75.27	76.88	0.80
		79.29	73.80	76.44	0.80
Dataset C	MSSAE	75.63	78.75	77.16	0.81
		72.00	82.00	76.68	0.77
		74.00	81.00	77.34	0.77
Dataset D	MSSAE	80.58	39.99	53.45	0.57
		66.01	57.85	61.66	0.64
		67.65	61.15	64.24	0.67
All	MSSAE	58.21	70.60	63.81	0.62
		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.