Partial dependence plots (PDP) show the dependence between the target response and a set of input features of interest, marginalizing over the values of all other input features (the ‘complement’ features). Intuitively, we can interpret the partial dependence as the expected target response as a function of the input features of interest.
Need to do Feature Importance first.
Tells what happens to the target when you change the feature.
https://scikit-learn.org/stable/modules/partial_dependence.html
Related:
Examples
Regression example:
Categorical Example
