Summary

In this chapter, we have deep-dived into the concepts of validity and efficiency in the context of probabilistic prediction models, building upon the foundations laid in the previous chapters. We have looked at the definitions of validity and efficiency and learned about various metrics that can be used to evaluate and compare different models in terms of validity and efficiency.

In the next chapter, we will learn about different families of conformal predictors and explore various approaches to quantifying uncertainty.