Table V.

Validation results from the best SVM, Random Forest and XGBoost models.

Model	AUC	Accuracy	Sensitivity	Specificity	F1-Score
SVM	0.72	0.75	0.58	0.79	0.46
Random Forest	0.86	0.84	0.33	0.96	0.44
XGBoost	0.81	0.84	0.67	0.88	0.62

SVM, Support Vector Machine; XGBoost, Extreme Gradient Boosting; AUC, area under the receiver operating characteristics curve.