Difference between revisions of "Precision and recall"
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Zeno Gantner (talk | contribs) |
Zeno Gantner (talk | contribs) |
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They range from 0 to 1 and the best possible value for both of them is 1. | 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 == | == External links == | ||
Revision as of 05:01, 10 January 2012
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.
