AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.