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AI & Machine Learning · Foundational

Precision

Of all positive predictions, the fraction that are actually positive: TP / (TP + FP).

Definition

Precision answers how trustworthy a positive prediction is. It is prioritized when false positives are expensive, such as spam filtering or recommending content. Precision and recall typically trade off as the decision threshold moves.

Exam tip

High cost of false alarms means optimize precision.

Don't confuse it with

Related terms