Integrating Shannon Entropy and Rough Set Theory for Comprehensive Evaluation of Machine Learning Models

This research proposes a novel approach that integrates Shannon entropy and rough set theory to provide a more comprehensive and nuanced evaluation of machine learning models, considering both predictive performance and the underlying data structure.