Fundamentals of Conformal Prediction

This chapter will dive into conformal prediction, a powerful and versatile probabilistic prediction framework. Conformal prediction allows for effective quantification of uncertainty in machine learning applications. By learning and utilizing conformal prediction techniques, you will be able to make more informed decisions and manage risks associated with data-driven solutions more effectively.

This chapter will cover the mathematical underpinnings of conformal prediction. You will learn how to accurately measure the uncertainty that comes with your predictions. You will also become familiar with nonconformity measures, grasp the idea of prediction sets, and be able to evaluate your model’s performance in a thorough and meaningful manner. The abilities you will acquire through this chapter will be highly valuable in various academic and industrial fields where comprehending the uncertainty associated with predictions is essential.

In...