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.

MWEInterpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Classifications

per-axis with provenance

Entity Type

Capability72%llm-generatedllm:claude-haiku-4-5

?unassignedlast reviewed —

Sensitivity

unclassified

Information Class

—50%llm-generatedllm:claude-haiku-4-5

?unassignedlast reviewed —

Variants

3 surface forms

plural: Interpretable Models
possessive: Interpretable Model's
pluralpossessive: Interpretable Models'

Continue to:Dictionary →How is this term used per framework?Thesaurus →How does this term relate to other terms?Universal →Everything in one page.