Decorrelated feature importance from local sample weighting

Benedikt Fröhlich, Alison Durst, Merle Behr

Feature importance (FI) statistics provide a prominent and valuable method of insight into the decision process of machine learning (ML) models, but their effectiveness has well-kn…