SHAP Is Not All You Need - Mindful Modeler

I just got a paper rejection. The paper itself fills a theoretical and conceptual gap: While ML interpretation techniques such as partial dependence plots and permutation feature importance primarily describe the model, many (data) scientists use them to study the underlying data and phenomenon. Our paper discusses what's needed to actually achieve the jump from model to data. Maybe I'll explain the paper in another post. Today I want to talk about a part of the criticism we received for the paper.