Abstract Interpretable machine learning has become a very active area of research due to the rising popularity algorithms and their inherently challenging interpretability. Most work in this been focused on interpretation single features model. However, for researchers practitioners, it is often equally important quantify importance or visualize effect feature groups. To address gap, we provide...
