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Tags: shapley functions*

Game Theory evaluation function used in SHAP algorithm for calculating feature attribution in machine learning models, as a technique in the subfield of explainability.

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1. What If We Could Easily Explain Overly Complex Models?

   Generating counterfactual explanations got a lot easier with CFNOW, but what are counterfactual explanations, and how can I use them?

   2023-09-30 Tags: machine learning, explainability, feature selection, lime, shap, counterfactual, cfnow, xai by klotz
2. Shap

   2023-01-28 Tags: shapley functions, shap, explainability, machine learning by klotz
3. Introduction to SHAP Values and their Application in Machine Learning | by Reza Bagheri | Mar, 2022 | Towards Data Science

   2022-04-18 Tags: shap, machine learning, deep learning, explainability by klotz
4. Hate Black-box Models? Time to Change That With SHAP | Towards Data Science

   2021-10-08 Tags: shap by klotz
5. 7 Best Python Packages Kagglers Are Using Without Telling You | Towards Data Science

   2021-08-09 Tags: data science, data engineering, exploratory data analysis, shap, explainability, machine learning, jupyter, python, training, ensemble by klotz
6. 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
7. Shapash makes Machine Learning models understandable by everyone | Towards AI

   2021-03-17 Tags: shapash, explainability, shap, lime, machine learning, svm by klotz
8. 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
9. 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
10. 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

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