Table 8. Classification accuracy obtained using selected handcrafted, radiomic and deep features.

Metrics	LDA	kNN	GNB	SVM	AdaBoost	RF	Ensemble	XGBoost	NN
Accuracy	0.866	0.882	0.838	0.845	0.875	0.905	0.919	0.905	0.941
Precision	0.868	0.882	0.891	0.826	0.889	0.895	0.917	0.933	0.944
Recall	0.866	0.882	0.838	0.845	0.875	0.905	0.919	0.905	0.941
F1 Score	0.850	0.882	0.830	0.820	0.866	0.880	0.908	0.899	0.940