Figure 6. Performance of the RF model evaluated by means of a restricted forward feature selection.

Several random forest classifiers were trained adding each of the features at a time, following the rank based on mean decrease of Gini index. The best and most balanced performance in terms of sensitivity and specificity is achieved by the model trained based on the subset of top 12 features.