Tool to compute statistical measures of Precision and Recall. Precision and recall are two statistical measures which can evaluate sets of items.

Precision and Recall - dCode

Tag(s) : Data Processing, Statistics

dCode is free and its tools are a valuable help in games, maths, geocaching, puzzles and problems to solve every day!

A suggestion ? a feedback ? a bug ? an idea ? *Write to dCode*!

The **precision and the recall** are two statistical values which make it possible to characterize the differences between 2 sets of elements: the calculated/selected set (to be evaluated/compared) and the expected set (reference/gold standard).

Precision is the ratio of the number of common elements relative to the size of the calculated set. Precision is also known as *positive predictive value*.

The reminder is the ratio of the number of common elements relative to the size of the expected set. The recall is also known as *true positive rate* or *sensitivity*.

For more statistical data, see the Confusion Matrix page.

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

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

In statistics, F-measure (or F1 score) is the harmonic mean of precision $ P $ and recall $ R $

$$ F = \frac{2 (P \times R)}{(P + R)} $$

dCode retains ownership of the online 'Precision and Recall' tool source code. Except explicit open source licence (indicated CC / Creative Commons / free), any 'Precision and Recall' algorithm, applet or snippet (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, translator), or any 'Precision and Recall' function (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) and no data download, script, copy-paste, or API access for 'Precision and Recall' will be for free, same for offline use on PC, tablet, iPhone or Android ! dCode is free and online.

Please, check our dCode Discord community for help requests!

NB: for encrypted messages, test our automatic cipher identifier!

precision,recall,predictive,value,specificity,sensitivity,statistic,set,item,common,f1

Source : https://www.dcode.fr/precision-recall

© 2021 dCode — The ultimate 'toolkit' to solve every games / riddles / geocaching / CTF.

Feedback

▲
Thanks to your feedback and relevant comments, dCode has developed the best 'Precision and Recall' tool, so feel free to write! Thank you!