# Precision and recall

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**Precision** or **positive predictive value** is a measure for exactness and **recall** or **sensitivity** is a measure of completeness.
They range from 0 to 1 and the best possible value for both of them is 1.

- <math>\text{precision} = \frac{tp}{tp + fp}</math>

- <math>\text{recall} = \frac{tp}{tp + fn},</math>

- where <math>tp</math> is the number of true positives, <math>fp</math> the number of false positives, and <math>fn</math> the number of false negatives.