The user wants to understand F1 Score in the context of Model Evaluation & Monitoring and apply it to practical AI governance or compliance work.
The F1 score is the harmonic mean of precision and recall, used to evaluate classification and information extraction performance. It ranges from 0 to 1, with higher values indicating a better balance between correctly identified positives and missed positives.
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