COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM
The subject of research in the article is the problem of classification in machine learning in the presence of imbalanced classes in datasets. The purpose of the work is to analyze existing solutions and algorithms for solving the problem of dataset imbalance of different types and different indust...
Saved in:
Main Authors: | Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy |
---|---|
Format: | Article |
Language: | English |
Published: |
Kharkiv National University of Radio Electronics
2023-08-01
|
Series: | Сучасний стан наукових досліджень та технологій в промисловості |
Subjects: | |
Online Access: | https://itssi-journal.com/index.php/ittsi/article/view/399 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
THEORETICAL AND EXPERIMENTAL STUDY OF THE ECONOMIC BEHAVIOR IRRATIONAL COMPONENT OF UKRAINIAN SOCIETY IN SPECIFIC MARKETS
by: Artem Khovrat, et al.
Published: (2023-08-01) -
Assessing Similarity Between Datasets Using Vector Representations
by: А. А. Usatoff, et al.
Published: (2025-07-01) -
Enhancing Rare Class Performance in HOI Detection with Re-Splitting and a Fair Test Dataset
by: Gyubin Park, et al.
Published: (2025-06-01) -
Toward Automatic Dataset Discovery From Scientific Publications
by: Sandeep Kumar, et al.
Published: (2025-01-01) -
A Clustering Algorithm for Large Datasets Based on Detection of Density Variations
by: Adrián Josué Ramírez-Díaz, et al.
Published: (2025-07-01)