Using SHAP Values to Explain How Your Machine Learning Model Works

Learn to use a tool that shows how each feature affects every prediction of the model

Machine Learning models are often black boxes that makes their interpretation difficult. In order to understand what are the main features that affect the output of the model, we need Explainable Machine Learning techniques that unravel some of these aspects.

One of these techniques is the SHAP method, used to explain how each feature affects the model, and …

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