Table 2.

Mean F1-score and AUROC obtained in the cross-validation on the training set (N = 239).

	F1-score (mean ± SD)	AUROC (mean ± SD)
Model 1: Decision Tree Numerical	0.60 ± 0.06	0.74 ± 0.11
Model 2: Decision Tree Numerical and Categorical	0.68 ± 0.07	0.83 ± 0.07
Model 3: GBOOST Numerical	0.66 ± 0.06	0.84 ± 0.05
Model 4: GBOOST Numerical and Categorical	0.69 ± 0.04	0.88 ± 0.04
Model 5: Random Forest Numerical	0.69 ± 0.15	0.86 ± 0.07
Model 6: Random Forest Numerical and Categorical	0.69 ± 0.05	0.87 ± 0.04
Model 7: SVM Numerical	0.72 ± 0.05	0.87 ± 0.04
Model 8: SVM Numerical and Categorical	0.68 ± 0.03	0.87 ± 0.03