Figure 5.

Confusion matrix obtained by collecting the predictions of 100 SMOTE runs, with different random seeds, for a Random Forest model with n_estimators = 50, max_depth = 5, and criterion = ‘entropy’. Such a model provides the best performance in terms of AUC (median 0.9441, interquartile range 0.0049) among the considered ones.