Copyright
©The Author(s) 2023.
World J Methodol. Dec 20, 2023; 13(5): 373-378
Published online Dec 20, 2023. doi: 10.5662/wjm.v13.i5.373
Published online Dec 20, 2023. doi: 10.5662/wjm.v13.i5.373
Figure 1 The number of papers that discussed, utilized, or addressed oversampling or synthetic minority oversampling technique between 2000 and 2022.
Figure 2 Trend of PubMed publications on oversampling and undersampling techniques in machine learning over the years.
Figure 3 Errors in the synthetic minority sample after synthetic minority oversampling technique application.
SMOTE: Synthetic minority oversampling technique.
Figure 4 Overview of the existing methods for the class imbalance problem.
- Citation: Alkhawaldeh IM, Albalkhi I, Naswhan AJ. Challenges and limitations of synthetic minority oversampling techniques in machine learning. World J Methodol 2023; 13(5): 373-378
- URL: https://www.wjgnet.com/2222-0682/full/v13/i5/373.htm
- DOI: https://dx.doi.org/10.5662/wjm.v13.i5.373