Effect Plot

Utilizes both the weight from a model and the data distribution to calculate the Effect (XAI) of features on the target.

This is better than for example the Log Odds in a Logistic Regression model which will not consider the data Distribution.

The Effect Plot is a Global Explanation. We can make it local by plotting a single Effect into the Distribution.