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Free public beta until December 4, 2026: every course is open, no card needed. After that, the first chapter of each course stays free and full access is a one-time $39 ($19 for up to 100 founding members chosen for helpful feedback). Your progress is kept. How the beta works

recall

Of everything that was actually positive, the fraction the model actually found.

Recall measures, of everything that was actually a positive case, the fraction the model actually found: \text{Recall}=TP/(TP+FN). Low recall means the model is missing real positives.

Examples

  • If there were 150 genuine spam emails in the inbox and the filter above only flagged 90 of them, its recall is 90/150=0.6.

See also

precision F1 score
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