Search for a tool
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, specificity and sensitivity.

Results

Precision and Recall -

Tag(s) : Data processing, Mathematics

dCode and you

dCode is free and its tools are a valuable help in games, puzzles and problems to solve every day!
You have a problem, an idea for a project, a specific need and dCode can not (yet) help you? You need custom development? Contact-me!


Team dCode likes feedback and relevant comments; to get an answer give an email (not published). It is thanks to you that dCode has the best Precision and Recall tool. Thank you.

Precision and Recall

Sponsored ads

Precision P and Recall R Calculator

From data sets to compare

Items has to be distinct, duplicates will be removed








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, specificity and sensitivity.

Answers to Questions

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.

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

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

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

Which Venn diagram represents precision and recall?

The following diagram includes precision, recall, true positive, false positive, true negative and false negative (source wikipedia)precision-recall

Ask a new question

Source code

dCode retains ownership of the source code of the script Precision and Recall online. Except explicit open source licence (indicated Creative Commons / free), any algorithm, applet, snippet, software (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, translator), or any function (convert, solve, decrypt, encrypt, decipher, cipher, decode, code, translate) written in any informatic langauge (PHP, Java, C#, Python, Javascript, Matlab, etc.) which dCode owns rights will not be given for free. To download the online Precision and Recall script for offline use on PC, iPhone or Android, ask for price quote on contact page !

Questions / Comments


Team dCode likes feedback and relevant comments; to get an answer give an email (not published). It is thanks to you that dCode has the best Precision and Recall tool. Thank you.


Source : https://www.dcode.fr/precision-recall
© 2018 dCode — The ultimate 'toolkit' to solve every games / riddles / geocaches. dCode
Feedback