Summary
In this chapter, we have discussed the practical applications of the LIME Python framework on different types of datasets. The tutorials covered in the chapter are just the starting point and I strongly recommend you try out LIME explainability on other datasets. We have also discussed why LIME is a good fit for production-level ML systems.
In the next chapter, we will discuss another very popular explainable AI Python framework called SHAP, which even considers the collective contribution of multiple features in influencing the model's outcome.