Table 7. Classification accuracy obtained using all features.

Metrics	LDA	kNN	GNB	SVM	AdaBoost	RF	Ensemble	XGBoost	NN
Accuracy	0.849	0.877	0.812	0.842	0.857	0.879	0.900	0.875	0.925
Precision	0.865	0.880	0.938	0.901	0.890	0.895	0.913	0.889	0.926
Recall	0.849	0.877	0.812	0.842	0.857	0.879	0.900	0.875	0.925
F1 Score	0.846	0.877	0.810	0.849	0.853	0.871	0.896	0.866	0.922