Table 2.

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

	Multi-class classification of dataset A (5-fold cross-validation)				Multi-class classification of dataset B (5-fold cross-validation)				Multi-class classification of dataset B (Hold-out cross-validation)
Modes	ACC	PRE	REC	F1	ACC	PRE	REC	F1	ACC	PRE	REC	F1
M-1＋2	0.93	0.94	0.94	0.93	0.94	0.94	0.94	0.94	0.93	0.93	0.93	0.93
M-3＋4	0.96	0.96	0.96	0.96	0.95	0.95	0.96	0.96	0.93	0.93	0.93	0.93
M-5＋6	0.90	0.87	0.95	0.90	0.96	0.96	0.96	0.96	0.89	0.89	0.89	0.89
M-6＋7	0.86	0.88	0.89	0.86	0.95	0.95	0.95	0.95	0.92	0.92	0.92	0.92
M-1＋2＋3	0.83	0.89	0.86	0.86	0.95	0.96	0.95	0.95	0.93	0.93	0.93	0.93
M-4＋5＋6	0.87	0.91	0.90	0.89	0.97	0.97	0.97	0.97	0.96	0.96	0.96	0.96
M-5＋6＋7	0.95	0.95	0.96	0.95	0.94	0.94	0.94	0.94	0.92	0.93	0.92	0.92
M-1＋2＋3＋4	0.78	0.87	0.82	0.82	0.93	0.94	0.93	0.93	0.95	0.95	0.95	0.95
M-4＋5＋6＋7	0.84	0.90	0.87	0.87	0.92	0.94	0.92	0.93	0.93	0.94	0.93	0.93
M-1＋2＋3＋4＋5	0.88	0.91	0.89	0.89	0.95	0.96	0.95	0.95	0.75	0.85	0.74	0.71
M-3＋4＋5＋6＋7	0.85	0.90	0.87	0.87	0.90	0.93	0.90	0.91	0.93	0.94	0.94	0.93
M-2＋3＋4＋5＋6＋7	0.86	0.90	0.88	0.88	0.93	0.91	0.93	0.94	0.87	0.88	0.87	0.87
M-1＋2＋3＋4＋5＋6＋7	0.74	0.79	0.80	0.79	0.86	0.93	0.86	0.89	0.96	0.96	0.96	0.96