
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.


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Prototype-Based Natural Learning: An Interpretable and Explainable Machine Learning Algorithm
