While reading about machine learning explainability and Partial Dependence Plot (PDP) in this book, the following appeared when dealing with categorical variables:

For each of the categories, we get a PDP estimate by forcing all data instances to have the same category.

  • Is there a better explanation of how to deal with categorical features in PDP?

  • How to do correctly Partial Dependence Plots with categorical variables



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