Recall

Also: sensitivity, true positive rate, TPR, hit rate

True positives divided by all actual positives, TP / (TP + FN). High recall means few misses; it usually trades off against precision as the decision threshold moves.

Recall = TP / (TP + FN)

Example

There are 60 spam emails and the filter catches 40 of them: recall = 40 / 60 ≈ 0.67, so 20 spam emails slip through.

See it in the lesson: Named Entity Recognition →

Related terms

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