Glossary

F1 Score

F1

Also called: F1 Measure

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.

Explore more about Metrics

Related terms

Precision

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

Recall

A performance metric that measures the proportion of actual positive instances correctly identified by a model.

Accuracy

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

Exact MatchEM

An evaluation metric that measures whether a model's prediction exactly matches the expected reference answer, without allowing partial credit.

Reference-based Evaluation

An evaluation method that measures model output quality by comparing generated responses against ground-truth reference data or golden datasets.

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