Multi-Class Conformal Prediction

Welcome to the last chapter of this book, where we delve into the fascinating world of multi-class Conformal Prediction. This chapter introduces you to various conformal prediction methods that can be effectively applied to multi-class classification problems.

We will explore the concept of multi-class classification, a common scenario in machine learning (ML), where an instance can belong to one of many classes. Understanding this problem is the first step toward applying conformal prediction techniques effectively.

Next, we will investigate the metrics used to evaluate multi-class classification problems. These metrics provide a quantitative measure of the performance of our models, and understanding them is crucial for effective model evaluation and selection.

Finally, we will learn how to apply conformal prediction to multi-class classification problems. This section will provide practical insights and techniques to apply directly to your...