Proposal of an interpretation method by LIME using the inclusion-exclusion integral model

Abstract

In this study, we propose the use of the inclusion-exclusion integral model as the explanatory model in LIME, a widely used local interpretation method for machine learning models. The inclusion-(breakpoint)exclusion integral model allows for a more comprehensive local interpretation by taking into account the interactions between explanatory variables, which traditional methods may overlook. By incorporating this model, we aim to enhance the interpretability and reliability of local explanations, providing deeper insights into the behavior and decision-making processes of complex machine learning models.