Recall

A classification metric measuring the proportion of predicted positive cases that are actually positive.

A metric that measures the proportion of correct predictions or outputs produced by a model or AI system out of all evaluated cases.

An evaluation metric that measures the balance between precision and recall by calculating their harmonic mean, providing a single score for classification and information retrieval performance.

A metric that measures whether an AI system's output is factually accurate, logically valid, and satisfies the intended task or expected result.

A metric that measures how fully an AI response covers the required information, tasks, or expected outputs for a given request.