SHAP Values: An Overview
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In this video, I talk about SHAP values and how these can be used for explainable AI and explaining how features contribute to a machine learning's predictions for each observation. These are great tools when your goal isn't (only) prediction, but is also inference - that is, understanding the most important features that influence a response or exactly one how feature, at different levels, influences the response. Note that this is different from causal inference, which is a separate and very complex topic altogether.
SHAP value documentation:
https://shap.readthedocs.io/en/latest...
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