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.

Results

Precision and Recall -

Tag(s) : Data Processing, Statistics

Share
Share
dCode and more

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!


Please, check our dCode Discord community for help requests!
NB: for encrypted messages, test our automatic cipher identifier!


Feedback and suggestions are welcome so that dCode offers the best 'Precision and Recall' tool for free! Thank you!

Precision and Recall

Precision P and Recall R Calculator

From data sets to compare

Items has to be distinct, duplicates will be removed








From data values




Answers to Questions (FAQ)

What are precision and recall? (Definition)

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.

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: 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 $$ P = \frac{3}{4} = 75\% $$

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: 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 $$ R = \frac{3}{5} = 60\% $$

How to calculate F-measure (F1 score)?

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

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

Which Venn diagram represents precision and recall?

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

Source code

dCode retains ownership of the "Precision and Recall" source code. Except explicit open source licence (indicated Creative Commons / free), the "Precision and Recall" algorithm, the applet or snippet (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, breaker, translator), or the "Precision and Recall" functions (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) and all data download, script, or API access for "Precision and Recall" are not public, same for offline use on PC, mobile, tablet, iPhone or Android app!
Reminder : dCode is free to use.

Cita dCode

The copy-paste of the page "Precision and Recall" or any of its results, is allowed (even for commercial purposes) as long as you cite dCode!
Exporting results as a .csv or .txt file is free by clicking on the export icon
Cite as source (bibliography):
Precision and Recall on dCode.fr [online website], retrieved on 2024-03-19, https://www.dcode.fr/precision-recall

Need Help ?

Please, check our dCode Discord community for help requests!
NB: for encrypted messages, test our automatic cipher identifier!

Questions / Comments

Feedback and suggestions are welcome so that dCode offers the best 'Precision and Recall' tool for free! Thank you!


https://www.dcode.fr/precision-recall
© 2024 dCode — El 'kit de herramientas' definitivo para resolver todos los juegos/acertijos/geocaching/CTF.
 
Feedback