Interpretable Model

nounverified·updated May 18, 2026

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An interpretable machine learning model obeys a domain-specific set of constraints to allow it (or its predictions, or the data) to be more easily understood by humans. These constraints can differ dramatically depending on the domain.

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Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.1 senseview framework →

§1: An interpretable machine learning model obeys a domain-specific set of constraints to allow it (or its predictions, or the data) to be more easily understood by humans. These constraints can differ dramatically depending on the domain.