Interpretable Model
nounid
4948·updated Aug 28, 2026verified
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.
MWE
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Classifications
Entity Type
Capability72%llm-generatedllm:claude-haiku-4-5
Sensitivity
unclassified
Information Class
—50%llm-generatedllm:claude-haiku-4-5
Variants
- plural
- Interpretable Models
- possessive
- Interpretable Model's
- pluralpossessive
- Interpretable Models'
Framework definitions
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.
- §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
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