The Need for Interpretable Features: Motivation and Taxonomy

no code implementations • 23 Feb 2022 • Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni

Through extensive experience developing and explaining machine learning (ML) applications for real-world domains, we have learned that ML models are only as interpretable as their features.

Decision Making