Handling highly imbalanced output class label: a case study on Fantasy Premier League (FPL) virtual player price changes prediction using machine learning / Muhammad Muhaimin Khamsan and Ruhaila Maskat

In practice, a balanced target class is rare. However, an imbalanced target class can be handled by resampling the original dataset, either by oversampling/upsampling or undersampling/downsampling. A popular upsampling technique is Synthetic Minority Over-sampling Technique (SMOTE). This technique i...

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Bibliographic Details

Main Authors:	Khamsan, Muhammad Muhaimin, Maskat, Ruhaila
Format:	Article
Language:	en
Published:	Penerbit UiTM 2019
Subjects:	Data processing
Online Access:	https://ir.uitm.edu.my/id/eprint/61448/1/61448.pdf https://ir.uitm.edu.my/id/eprint/61448/ https://mjoc.uitm.edu.my/
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