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Precision and Recall

Tool to compute statistical measures of Precision and Recall. Precision and recall are two statistical measures which can evaluate sets of items, also called predictive value and sensitivity.

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Precision and Recall -

Tag(s) : Data processing, Mathematics

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# Precision and Recall

## Precision P and Recall R Calculator

### From data values

Tool to compute statistical measures of Precision and Recall. Precision and recall are two statistical measures which can evaluate sets of items, also called predictive value and sensitivity.

### How to calculate Precision?

For a search, the precision is the ratio of the number of pertinent items found over the total number of items found.

$$\text{Precision}=\frac{|\{\text{Relevant items}\}\cap\{\text{Retrieved items}\}|}{|\{\text{Retrieved items}\}|}$$

Example: Consider the expected set: A,B,C,D,E (5 items), and the retrieved/found set : B,C,D,F (4 items). The set of expected items retrieved is B,C,D (3 items). The precision is $$P = \frac{3}{4} = 75\%$$

### How to calculate Recall?

The recall is the ratio of the number of pertinent items found over the total number of relevant items.

$$\text{Recall}=\frac{|\{\text{Relevant items}\}\cap\{\text{Retrieved items}\}|}{|\{\text{Retrieved items}\}|}$$

Example: Consider the expected set: A,B,C,D,E (5 items), and the retrieved/found set : B,C,D,F (4 items). The set of expected items retrieved is B,C,D (3 items). The recall is $$R = \frac{3}{5} = 60\%$$

### How to calculate F-measure (F1 score)?

F-measure (or F1 score) is the harmonic mean of precision and recall

$$F = \frac{2 (\text{precision} \times \text{recall})}{(\text{precision} + \text{recall})}$$