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Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques Cover

Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques

Cybernetics and Information Technologies
Volume 23 (2023): Issue 4 (November 2023)
By: Muhammad Arham Tariq,  Allah Bux Sargano,  Muhammad Aksam Iftikhar and  Zulfiqar Habib  
Open Access
|Nov 2023
Authors

Authors

Muhammad Arham Tariq

arhamtariq99@gmail.com

University of Central Punjab, Department of Computer Science, Lahore, Pakistan

Allah Bux Sargano

allahbux@cuilahore.edu.pk

COMSATS University Islamabad, Department of Computer Science, Lahore, Pakistan

Muhammad Aksam Iftikhar

aksamiftikhar@cuilahore.edu.pk

COMSATS University Islamabad, Department of Computer Science, Lahore, Pakistan

Zulfiqar Habib

drzhabib@cuilahore.edu.pk

COMSATS University Islamabad, Department of Computer Science, Lahore, Pakistan
DOI: https://doi.org/10.2478/cait-2023-0044 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 199 - 212
Submitted on: Oct 11, 2023
Accepted on: Nov 17, 2023
Published on: Nov 30, 2023
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Imbalance educational datasets,
Students’ academic performance,
Educational data mining,
Data re-sampling
Related subjects:
Computer sciences,
Information technology

© 2023 Muhammad Arham Tariq, Allah Bux Sargano, Muhammad Aksam Iftikhar, Zulfiqar Habib, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 23 (2023): Issue 4 (November 2023)
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