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 "Precision and Recall" source code. Any algorithm for the "Precision and Recall" algorithm, applet or snippet or script (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, breaker, translator), or any "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.) or any database download or API access for "Precision and Recall" or any other element are not public (except explicit open source licence like Creative Commons). Same with the download for offline use on PC, mobile, tablet, iPhone or Android app.
Reminder: dCode is an educational and teaching resource, accessible online for free and for everyone.
The content of the page "Precision and Recall" and its results may be freely copied and reused, including for commercial purposes, provided that dCode.fr is cited as the source.
Exporting the results is free and can be done simply by clicking on the export icons ⤓ (.csv or .txt format) or ⧉ (copy and paste).
To cite dCode.fr on another website, use the link:
In a scientific article or book, the recommended bibliographic citation is: Precision and Recall on dCode.fr [online website], retrieved on 2025-04-15,