Average cross-validation AUC and number of features (p) for each classifier with optimal hyperparameter configuration and for each feature selection iteration (i).

For each classifier, the best AUC is highlighted in boldface. Classifiers are ordered by their maximum AUC. All methods induced at least one model with AUC of 0.790 or higher. Cells with a “/” indicate that the feature elimination wrapper had already been terminated after a previous iteration.