Table 1. Accuracy, Area Under the ROC Curve (AUC), F1-Score, Precision and Recall achieved with the hold-out test set by support-vector machine (SVM), random forest (RF) and k-nearest neighbours (KNN) classifiers.

Metric	SVM	RF	KNN
Accuracy	0.873	0.860	0.867
AUC	0.944	0.928	0.941
F1-Score	0.873	0.860	0.867
Precision	0.872	0.885	0.863
Recall	0.874	0.827	0.872