• jForest
    jForest is a generic implementation of tree ensemble methods. It is designed to be very modular and enables easy tuning of the tree induction process, classification criterion and feature importance index. It is developed in Java and bundled in the form of a R package. jForest implements our statistically interpretable feature importance index (see publications).