This repository contains code associated with the article "Developing a Fidelity Evaluation Approach for Interpretable Machine Learning" by Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira and Renuka Sindhgatta. The code in this repository can be used to evaluate the explanations of LIME and SHAP for decision tree and XGBoost models trained on tabular data.
Mythreyi-V/three-phase-fidelity-evaluation
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