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.

\text{precision} =  \frac{tp}{tp + fp}
\text{recall} = \frac{tp}{tp + fn},
where tp is the number of true positives, fp the number of false positives, and fn the number of false negatives.

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