Overview of Conformal Prediction
In today’s world, where data plays a crucial role in decision making, it has become increasingly important to measure uncertainty in predictions. To achieve this, a relatively new framework called conformal prediction is gaining popularity. This framework provides probabilistic predictions that are not only robust and reliable but also trustworthy. It is a powerful tool that offers measures of confidence, accuracy, and reliability for a given prediction, allowing users to make informed choices with more certainty.
This chapter will provide an overview of conformal prediction.
It will explain why conformal prediction is a valuable tool for quantifying the uncertainty of predictions, especially in critical settings such as healthcare, self-driving cars, and finance. We will also discuss the concept of uncertainty quantification (UQ) and how the conformal prediction framework has successfully addressed the challenge of quantifying uncertainty...
