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Precision and recall

Precision asks how many predicted positives are correct; recall asks how many actual positives were found.

The plain-English version

Precision asks how many predicted positives are correct; recall asks how many actual positives were found.

Why it matters

They reveal different consequences of false alarms and missed cases.

Let’s make it click

A document detector may favor precision when wrong matches are costly, or recall when missing relevant material is costly.

Vibe Bro’s heads-up

A threshold change can improve one measure while worsening the other; evaluate the tradeoff against the user's task.

The docs behind it

Editorial review · October 28, 2026

Supported: Precision/recall roles and possible threshold tradeoffs are correct.

Read the content review record.

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