Author: Sander Schwenk-Nebbe

We develop Performance-Based Shapley Values (PBSVs), which tell us exactly how each individual predictor contributed to out-of-sample forecasting accuracy. My Python package anatomy implements the necessary algorithms and makes it straightforward to estimate PBSVs of any model or combination of models and any loss (or gain) function.