Precision and recall

From RecSysWiki
Revision as of 06:02, 4 December 2014 by Alan (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

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.

External links