Causal Entropy and Information Gain for Measuring Causal Control

no code implementations • 14 Sep 2023 • Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen

Specifically, we introduce causal versions of entropy and mutual information, termed causal entropy and causal information gain, which are designed to assess how much control a feature provides over the outcome variable.

feature selection Interpretable Machine Learning