Evaluation
F1 Score
Evaluation· Intermediate
Definition
The harmonic mean of precision and recall — F1 = 2 × (Precision × Recall) / (Precision + Recall). Provides a single balanced measure of classification performance when both false positives and false negatives carry cost. More informative than accuracy alone for imbalanced datasets.
Enterprise Context
Standard metric for classification tasks in enterprise AI: spam detection, document routing, entity extraction. Required reporting metric for regulated AI systems in many jurisdictions.
Tags
#metrics#classification#precision-recall
MS
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