Oversampling and undersampling in data analysis

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Oversampling and undersampling in data analysis

Quality:

Oversampling and undersampling in data analysis - techniques used to adjust imbalances in the class distribution or ratio between categories in a data set. Article “Oversampling and undersampling in data analysis” in English Wikipedia has 35.1 points for quality (as of July 1, 2025). The article contains 23 references and 17 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 6.2 points.

In this language version of Wikipedia the article has the best quality. Also, this article is the most popular in that (English) language version.

In June 2025 the article “Oversampling and undersampling in data analysis” was edited by 2 authors in English Wikipedia and written by 2 authors in all languages.

Since the creation of article “Oversampling and undersampling in data analysis”, its content was written by 55 registered users of English Wikipedia and edited by 63 registered Wikipedia users in all languages.

The article is cited 6 times in English Wikipedia and cited 15 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (English): #43752 in December 2022
  • Global: #185639 in December 2022

The highest popularity rank from 2008:

  • Local (English): #125542 in April 2019
  • Global: #227654 in April 2019

There are 3 language versions 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 July 1, 2025 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Oversampling and undersampling in data analysis
35.1241
2Korean (ko)
과대표집과 과소표집
1.0955
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
1.049
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "Oversampling and undersampling in data analysis" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Oversampling and undersampling in data analysis
639 751
2Korean (ko)
과대표집과 과소표집
3 062
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
1 339
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "Oversampling and undersampling in data analysis" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Oversampling and undersampling in data analysis
2 257
2Korean (ko)
과대표집과 과소표집
40
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
12
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "Oversampling and undersampling in data analysis" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Oversampling and undersampling in data analysis
55
2Korean (ko)
과대표집과 과소표집
5
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
3
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "Oversampling and undersampling in data analysis" with the highest AI in June 2025
#LanguageAI awardRelative AI
1English (en)
Oversampling and undersampling in data analysis
2
2Korean (ko)
과대표집과 과소표집
0
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "Oversampling and undersampling in data analysis" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Korean (ko)
과대표집과 과소표집
7
2English (en)
Oversampling and undersampling in data analysis
6
3Romanian (ro)
Supraeșantionarea și subeșantionarea în analiza datelor
2
More...

Scores

Estimated value for Wikipedia:
English:
Global:
Popularity in June 2025:
English:
Global:
Popularity in all years:
English:
Global:
Authors in June 2025:
English:
Global:
Registered authors in all years:
English:
Global:
Citations:
English:
Global:

Quality measures

Interwikis

#LanguageValue
enEnglish
Oversampling and undersampling in data analysis
koKorean
과대표집과 과소표집
roRomanian
Supraeșantionarea și subeșantionarea în analiza datelor

Popularity rank trends

Best Rank English:
#125542
04.2019
Global:
#227654
04.2019

AI rank trends

Best Rank English:
#43752
12.2022
Global:
#185639
12.2022

Languages comparison

Important global interconnections (July 2024 – June 2025)

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 21 February 2026

On 21 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Alysa Liu, Eric Dane, 2026 Winter Olympics, Rebecca Gayheart, Johannes Høsflot Klæbo, Wuthering Heights, amyotrophic lateral sclerosis, Andrew Mountbatten-Windsor, John F. Kennedy Jr..

In English Wikipedia the most popular articles on that day were: Eric Dane, Alysa Liu, Rebecca Gayheart, Jeffrey Epstein, 2026 Winter Olympics, Eileen Gu, John F. Kennedy Jr., Carolyn Bessette Kennedy, Deaths in 2026, Johannes Høsflot Klæbo.

About WikiRank

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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information