Explaining Machine Learning Models using Entropic Variable Projection

François Bachoc, Fabrice Gamboa, Max Halford +2

In this paper, we present a new explainability formalism designed to shed light on how each input variable of a test set impacts the predictions of machine learning models. Hence,…