Table VI.

Test results for the best SVM, Random Forest and XGBoost models^a.

Model	AUC	Accuracy	Sensitivity	Specificity	F1-Score
SVM	0.66 (0.06)	0.62 (0.13)	0.38 (0.20)	0.67 (0.12)	0.23 (0.18)
Random Forest	0.73 (0.13)	0.77 (0.07)	0.31 (0.03)	0.88 (0.08)	0.34 (0.10)
XGBoost	0.79 (0.02)	0.74 (0.11)	0.77 (0.10)	0.73 (0.15)	0.54 (0.07)

^aThe absolute difference of test-validation results for each metric are shown in parentheses. SVM, Support Vector Machine; XGBoost, Extreme Gradient Boosting; AUC, area under the receiver operating characteristics curve.