Recall Metric

What is Recall?

Recall (also called Sensitivity or True Positive Rate) measures the proportion of actual positive cases that were correctly identified.

Formula

Recall = TP / (TP + FN)

• TP: True Positives (correctly predicted positive)
• FN: False Negatives (missed positives)

Interpretation

• High Recall: Found most of the positive cases
• Low Recall: Missed many positive cases

When Recall Matters

• When missing positives is costly (e.g., disease screening)
• Cancer detection (don't want to miss any cases)
• Fraud detection (catch all fraudulent transactions)

Related Terms

• Precision: Accuracy of positive predictions
• F1 Score: Balances precision and recall