Interpretable Model

nounverified·updated Aug 28, 2026

GlossaryL1 — what DictionaryL2 — how used ThesaurusL3 — relations Universaleverything

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.

Framework senses

2 senses across 2 frameworks

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.

Legacy lexicon import1 senseview framework →

§1 · legacy_primary: 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.
DR-088 backfill from the noun definition column