CFXplorer: Counterfactual Explanation Generation Python Package

Introduces a Python package for generating counterfactual explanations for tree-based algorithms

The importance of interpretability in machine learning models is growing as they are increasingly applied in real‐world scenarios. Understanding how models make decisions benefits not only the model's users but also those who are affected by the decisions made by the model. Counterfactual explanations have been developed to cope with this issue, as they allow…