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Evaluation concepts

Recall

An evaluation metric that measures how many actual positive cases the system successfully found.

Recall answers: of all the things the system should have found, how many did it catch? It is important when misses are costly, such as failing to detect unsafe content, missing a relevant document, or overlooking a critical incident.

High recall can come with more false positives. Many production systems tune thresholds based on the downstream workflow: high recall for triage, higher precision for irreversible actions.

Related terms
precisionf1-scoreconfusion-matrixclassifierretrieval