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Tags: shap*

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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1. 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
2. “Black-Box models are actually more explainable than a Logistic Regression”

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

   2020-01-05 Tags: machine learning, explainability, lime, ontology, linear regression, shapley functions, shap by klotz
4. Shapley value - Wikipedia

   2020-01-05 Tags: shapley functions, shap, machine learning, explainability by klotz
5. 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
6. 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
7. 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
8. 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
9. 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
10. Shapash makes Machine Learning models understandable by everyone | Towards AI

    2021-03-17 Tags: shapash, explainability, shap, lime, machine learning, svm by klotz

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