Summary
In this chapter, we have deep-dived into the fundamentals and mathematical foundations of conformal prediction, a powerful and versatile probabilistic prediction framework. We have learned about different measures of nonconformity used in classification and regression, building solid foundations for applying conformal prediction to your industry applications.
In the next chapter, we’ll cover the concepts of validity and efficiency in the context of probabilistic prediction models, building upon the foundations laid in the previous chapters.
