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Recall

nounid 5058·updated May 18, 2026
verified

A metric for classification models that answers the following question: Out of all the possible positive labels, how many did the model correctly identify? That is: Recall = True Positive/( True Positive + false Negative)

polysemous

Attested in

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Classifications

Entity Type

Metric95%llm-generatedllm:claude-haiku-4-5

Sensitivity

unclassified

Information Class

unclassified

Variants

synonym
callbackrecollectionreminiscence
plural
Recalls
possessive
Recall's
pluralpossessive
Recalls'

Framework definitions

Notes on Measurement1 senseview framework →
§1
A metric for classification models that answers the following question: Out of all the possible positive labels, how many did the model correctly identify? That is: Recall = True Positive/( True Positive + false Negative)
National Security Commission on Artificial Intelligence: The Final Report1 senseview framework →
§1
A metric for classification models; identifies the frequency with which a model correctly classifies the true positive items.
Wordset Dictionary5 sensesview framework →
§1
the act of removing an official by petition
§2
the process of remembering, especially the process of recovering information by mental effort
§3
a bugle call that signals troops to return
§4
a call to return
§5
a request by the manufacturer of a defective product to return the product (as for replacement or repair)
Legacy lexicon import1 senseview framework →
§1 · legacy_primary
A metric for classification models that answers the following question: Out of all the possible positive labels, how many did the model correctly identify? That is: Recall = True Positive/( True Positive + false Negative)
DR-088 backfill from the noun definition column

Outgoing relationships

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Incoming relationships

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No other term currently asserts a relationship to this one.