Introduction | Discussion and Conclusion | The Simulation | data setup | Random forest | parameter setting for a RF | RFlocalfdr | determine cutoff | recover variables | Boruta | Recursive Feature Elimination | AIR | PIMP | Other Methods | permutation importance | impurity corrected | cforest | sobolMDA | Shap values | SHAFF: Fast and consistent SHApley eFfect estimates via random Forests | iml: Interpretable Machine Learning | mlr3 | fastshap

load the data | fit a ranger model | Determine a cutoff to get a unimodal density. | fit RFlocalfdr