Table 6. Classification accuracy obtained using combined deep features (Pool5 of Resnet18 + Conv5 of Densenet121).

Metrics	LDA	kNN	GNB	SVM	AdaBoost	RF	Ensemble	XGBoost	NN
Accuracy	0.837	0.862	0.810	0.826	0.848	0.865	0.888	0.858	0.912
Precision	0.852	0.865	0.940	0.892	0.865	0.876	0.891	0.875	0.926
Recall	0.837	0.862	0.810	0.826	0.848	0.865	0.888	0.858	0.919
F1 Score	0.834	0.862	0.811	0.833	0.837	0.865	0.889	0.848	0.910