Table 2.

Performance comparison of the proposed vs. existing models.

Framework	Accuracy	Precision	Recall	F1 score
XGBoost [6]	82	87	86	86
Random forest [6]	85	90	89	88
KNN [6]	84	88	89	88
CNN [7]	87	92	93	92
AlexNet	88.12	93.10	94.18	93.64
ResNet50	93.16	95.91	96.99	96.44