AI Glossary

Recall

Also called sensitivity, true positive rate

What does “Recall” mean?

Recall: The share of actual positives that a classifier identifies. High recall means it misses relatively few positive cases.

Recall visual guide: The share of actual positives that a classifier identifies. High recall means it misses relatively few positive cases.
Visual guide Open full size (new tab)

What is an example of “Recall”?

If a filter catches eight of the ten spam emails in a test set, recall is 80 percent.

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See also

PrecisionTermF1 scoreTermConfusion matrixTermClassificationTerm

Same topic

Area under the ROC curveTermClassification accuracyTermDecision thresholdTermFalse negativeTermFalse positiveTerm