Conformal prediction offers a robust, distribution-free framework that transforms point estimates into prediction sets or intervals by leveraging the concept of exchangeability. This framework helps ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...