Recall
Recall (Sensitivity or True Positive Rate) is a classification evaluation metric measuring the fraction of actual positive examples that the model correctly identified, calculated as true positives divided by all actual positives.
Frequently Asked Questions
What is the formula for recall?▼
`Recall = True Positives / (True Positives + False Negatives)`.
When should recall be prioritized over precision?▼
When missing a positive event is extremely dangerous. For example, in cancer screening, a false negative (failing to detect cancer) is life-threatening, so the model must maximize recall.
Recall Media Coverage & Intelligence
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