Challenges and limitations of synthetic minority oversampling techniques in machine learning

doi:10.5662/wjm.v13.i5.373

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1778

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209

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World Journal of Methodology

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2222-0682

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Methodol. Dec 20, 2023; 13(5): 373-378
Published online Dec 20, 2023. doi: 10.5662/wjm.v13.i5.373

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Figure 1 The number of papers that discussed, utilized, or addressed oversampling or synthetic minority oversampling technique between 2000 and 2022.

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