Table 5 Classical CNN architectures classification report on augmented CK + dataset.

DenseNet121			InceptionV3			VGG16			VGG19
Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score
0.76	0.59	0.67	0.71	0.63	0.67	0.69	0.89	0.77	0.90	0.81	0.85
0.88	0.93	0.90	0.96	0.83	0.89	0.88	0.85	0.86	0.78	0.98	0.87
0.67	0.73	0.70	0.54	0.82	0.65	0.85	0.87	0.86	0.79	0.90	0.84
0.79	0.61	0.69	0.66	0.80	0.72	0.82	0.76	0.79	0.89	0.76	0.82
0.73	0.82	0.77	0.95	0.68	0.80	0.89	0.82	0.85	0.94	0.82	0.87
0.56	0.84	0.67	0.80	0.79	0.79	0.83	0.70	0.76	0.85	0.84	0.85
1.00	0.66	0.80	0.98	0.84	0.90	0.88	0.92	0.90	0.93	0.90	0.92
Overall	accuracy	0.74	Overall	accuracy	0.77	Overall	accuracy	0.83	Overall	accuracy	0.86

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