F1 Score
The harmonic mean of precision and recall, providing a single metric that balances both concerns and is particularly useful for imbalanced datasets where accuracy alone is misleading.
In plain language
A single number that balances precision and recall. Useful when you need both: you want your spam filter to catch most spam (recall) without flagging too many real emails (precision).
Why this matters
F1 score is a key evaluation metric for AI systems performing classification tasks. Governance frameworks should specify which metrics are appropriate for each use case and define acceptable performance thresholds before deployment.
Relevance
ImplementationF1 score is a technical performance metric used in model evaluation; selecting appropriate metrics for your specific use case is an implementation practice that ensures AI systems meet business and fairness requirements.
Related terms
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