All glossary terms
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F1 Score

The harmonic mean of precision and recall, providing a balanced single metric for classification.

In more detail

F1 = 2 * (precision * recall) / (precision + recall). Ranges from 0 to 1. Useful when both precision and recall matter equally. Better than accuracy for imbalanced datasets.

Examples

  • Balanced evaluation on imbalanced data
  • Information retrieval
  • Text classification

Related terms

PrecisionRecallImbalanced Data
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