Partial Information Decomposition of Features (PIDF): A Novel Method for Data Interpretability and Feature Selection

This paper introduces Partial Information Decomposition of Features (PIDF), a novel method that leverages information-theoretic concepts of synergy and redundancy to provide a more comprehensive understanding of feature importance for both data interpretability and feature selection.