Factorial code - Data representation for machine learning. Article "Factorial code" in English Wikipedia has 4.5 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections.
Since the creation of article "Factorial code", its content was written by 18 registered users of English Wikipedia and edited by 18 registered Wikipedia users in all languages.
The article is cited 6 times in English Wikipedia and cited 6 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | English: #882217 02.2009 |
Global: #1464518 01.2008 |
| Best Rank | English: #100925 06.2007 |
Global: #238117 06.2007 |
On 12 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, 2024–25 UEFA Champions League, UEFA Champions League, Diego Simeone, Kim Sae-ron, Kim Soo-hyun, Greenland, Giuliano Simeone, Donald Trump, ChatGPT.
In English Wikipedia the most popular articles on that day were: Kim Sae-ron, Alabama, Deaths in 2025, Sarah McBride, Kim Soo-hyun, Elon Musk, 2024–25 UEFA Champions League, Mark Carney, Rosie O'Donnell, Mickey 17.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.19+0+0+14.29+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
