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The SHAP explainability algorithm or one of its implementations, such as a Python library. The SHAP algorithm is based on Shapley Functions.

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11. Be Careful When Interpreting Predictive Models in Search of Causal Insights | by Scott Lundberg | May, 2021 | Towards Data Science

    2021-05-19 Tags: shap, xgboost, prediction, root cause analysis, machine learning, deep learning by klotz
12. Shapash makes Machine Learning models understandable by everyone | Towards AI

    2021-03-17 Tags: shapash, explainability, shap, lime, machine learning, svm by klotz
13. Can SHAP trigger a paradigm shift in Risk Analytics? | by Chandan Durgia | Jan, 2021 | Towards Data Science

    2021-01-11 Tags: shap, explainability, machine_learning, risk, analytics, medium by klotz
14. Demystify your ML model with SHAP | by Yifei Huang | Dec, 2020 | Towards Data Science

    2021-01-03 Tags: shap, machine learning, explainability, root cause analysis by klotz
15. LIME vs. SHAP: Which is Better for Explaining Machine Learning Models? | by Dario Radečić | Dec, 2020 | Towards Data Science

    2020-12-15 Tags: lime, shap, explainability, machine learning by klotz
16. SHAP: How to Interpret Machine Learning Models With Python | by Dario Radečić | Nov, 2020 | Towards Data Science

    2020-11-10 Tags: shap, explainability, machine learning, tutorial, python by klotz
17. SHAP formula explained the way I wish someone explained it to me

    2020-01-05 Tags: granger causality, explainability, machine learning, shapley functions, shap by klotz
18. One Feature Attribution Method to (Supposedly) Rule Them All: Shapley Values

    2020-01-05 Tags: shapley functions, explainability, feature attribution, machine learning, shap by klotz
19. Shapley value - Wikipedia

    2020-01-05 Tags: shapley functions, shap, machine learning, explainability by klotz
20. Idea Behind LIME and SHAP - Towards Data Science

    2020-01-05 Tags: machine learning, explainability, lime, ontology, linear regression, shapley functions, shap by klotz

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