home/glossary/Overfitting

Overfitting

nounid 5013·updated Aug 28, 2026
verified

Given a hypothesis space H, a hypothesis h element of H is said to overfit the training data if there exists some alternative hypothesis h' element of H, such that h has smaller error than h' over the training examples, but h' has a smaller error than h over the entire distribution of instance.

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Classifications

Entity Type

Vulnerability70%llm-generatedllm:claude-haiku-4-5

Sensitivity

unclassified

Information Class

unclassified

Variants

plural
Overfittings
possessive
Overfitting's
pluralpossessive
Overfittings'

Framework definitions

Machine Learning1 senseview framework →
§1
Given a hypothesis space H, a hypothesis h element of H is said to overfit the training data if there exists some alternative hypothesis h' element of H, such that h has smaller error than h' over the training examples, but h' has a smaller error than h over the entire distribution of instance.
Legacy lexicon import1 senseview framework →
§1 · legacy_primary
Given a hypothesis space H, a hypothesis h element of H is said to overfit the training data if there exists some alternative hypothesis h' element of H, such that h has smaller error than h' over the training examples, but h' has a smaller error than h over the entire distribution of instance.
DR-088 backfill from the noun definition column

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