Model Interpretability in Machine Learning: Techniques, Challenges, and Applications
Abstract Model interpretability, often referred to as Explainable Artificial Intelligence (XAI), is a critical area of research in machine learning (ML) that focuses on making complex models understandable to humans. This report provides a comprehensive […]
