Prototype-Based Natural Learning: An Interpretable and Explainable Machine Learning Algorithm
Natural Learning (NL) is a novel prototype-based machine learning algorithm that elevates the explainability and interpretability of classification models to an extreme level. NL discovers sparse prototypes that serve as human-friendly decision rules, enabling simple and intuitive explanations of its predictions.