Table 4. Classification accuracy obtained using all handcrafted and radiomic feature combinations.

Metrics	LDA	kNN	GNB	SVM	AdaBoost	RF	Ensemble	XGBoost	NN
Accuracy	0.792	0.832	0.746	0.773	0.765	0.853	0.847	0.844	0.892
Precision	0.809	0.835	0.849	0.725	0.786	0.828	0.856	0.861	0.895
Recall	0.792	0.832	0.746	0.773	0.765	0.853	0.847	0.844	0.892
F1 Score	0.774	0.832	0.737	0.735	0.750	0.817	0.829	0.823	0.892