Reviews: A Debiased MDI Feature Importance Measure for Random Forests

I am updating my score from 7 to 8. --- # Originality The main contributions are all original. While the take-home message of the study is in retrospect simple and obvious ( compute MDI importances on out-of-bag samples), the paper provides an original analysis that explains and justifies this modification of the computation of MDI importances. Some remarks however: - I would have appreciated a controlled experiment where G0(T) can be computed exactly in order to empirically appreciate the (supposed) tightness of the bound. More specifically, what if A1 and A2 are not satisfied? In real-word setups, A1 is very unlikely to hold.