Table 3. Training results when models run.

Models	Accuracy	Precision	Recall	Auc	F1 score	Validation accuracy
EfficientNetB0	0.9920	0.9890	0.9883	0.9994	0.9886	0.9844
DenseNet121	0.9856	0.9791	0.9778	0.9977	0.9783	0.9858
AlexNet	0.9977	0.9965	0.9965	0.9996	0.9964	0.9573