Interpretable Model
nounid
4948·updated May 18, 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
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.
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