Summary
After reading this chapter, you should understand what model-specific methods to compute feature importance are and their shortcomings. Then, you should have learned how model-agnostic methods’ permutation feature importance and SHAP values are calculated and interpreted. You also learned the most common ways to visualize model explanations. You should know your way around global explanation methods like global summaries, feature summaries, and feature interaction plots and their advantages and disadvantages.
In the next chapter, we will delve into local explanations.
