What does Recall mean? Definition | AI Understanding

Definition

The proportion of actual positives that a model correctly identifies.

Related terms

The proportion of predicted positives that are actually correct.

Retrieval Precision

The proportion of retrieved items that are relevant to the user's query.

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

See also

RAG (Retrieval-Augmented Generation)Recommendation System Quantization Red Teaming Pruning Reinforcement Learning Prompt Injection Reinforcement Learning from Human Feedback (RLHF)

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