All glossary terms
conceptsbeginner

Recall

The proportion of actual positive instances correctly predicted, measuring false negative rate.

In more detail

Recall = TP / (TP + FN). Answers: "Of the actual positive cases, how many did we find?" Important when false negatives are costly. Precision-recall tradeoff is common in classification.

Examples

  • Disease detection in medical diagnosis
  • Fraud detection
  • Object detection

Related terms

PrecisionF1 Score
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