Interpretable and explainable machine learning: A methods-centric overview with concrete examples

Ricards Marcinkevics, Julia E. Vogt

Abstract: Interpretability and explainability are essential principles of machine learning model and method design and development for medicine, economics, law, and natural sciences applications. Over the last...