Table 3.

Classification performance of the multi-scale deep CNN for the binary classification task.

	Binary-class classification for dataset A (5-fold cross-validation)					Binary-class classification for dataset B (5-fold cross-validation)					Binary-class classification for dataset B (Hold-out cross-validation)
Modes	ACC	PRE	REC	F1	SPE	ACC	PRE	REC	F1	SPE	ACC	PRE	REC	F1	SPE
M-1＋2	1	1	1	1	1	0.92	0.93	0.92	0.92	0.88	0.89	0.9	0.89	0.89	0.91
M-1＋2＋3	0.99	0.99	0.99	0.99	1	0.95	0.95	0.95	0.95	0.96	0.87	0.89	0.87	0.87	0.96
M-1＋2＋3＋4	0.99	0.99	0.98	0.98	1	0.93	0.93	0.93	0.93	0.95	0.92	0.92	0.92	0.92	0.91
M-1＋2＋3＋4＋5	0.98	0.99	0.97	0.98	1	0.95	0.95	0.94	0.95	0.98	0.93	0.93	0.93	0.93	0.94
M-1＋2＋3＋4＋5＋6	0.99	0.99	0.98	0.98	1	0.94	0.94	0.94	0.94	0.97	0.93	0.94	0.94	0.94	0.91
M-1＋2＋3＋4＋5＋6＋7	1	1	1	1	1	0.96	0.96	0.96	0.93	0.98	0.93	0.93	0.93	0.93	0.95