AI Glossary Term

What is Recall?

Definition

The proportion of actual positives that a model correctly identifies.

Related terms

Precision
The proportion of predicted positives that are actually correct.
Retrieval Precision
The proportion of retrieved items that are relevant to the user's query.
Calibration
How well a model's confidence scores match actual correctness probabilities.
Intent Classification
Predicting the user's purpose from a text query to route it correctly.
Named Entity Recognition (NER)
An NLP task that identifies entities such as people, places, dates, or organizations.
Trust Calibration
Aligning user confidence in AI outputs with the system's actual reliability in each task.

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Precision and Recall
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