Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis

• Main Authors: Jamaluddin, Ahmad Hakiim, Mahat, Nor Idayu
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: https://repo.uum.edu.my/id/eprint/28128/1/JICT%2020%201%202021%2083-102.pdf; https://doi.org/10.32890/jict.20.1.2021.6358; https://repo.uum.edu.my/id/eprint/28128/; http://jict.uum.edu.my/index.php/currentissue; https://doi.org/10.32890/jict.20.1.2021.6358
• Institution: Universiti Utara Malaysia

The curse of class imbalance affects the performance of many conventional classification algorithms including linear discriminant analysis (LDA). The data pre-processing approach through some resampling methods such as random oversampling (ROS) and random undersampling (RUS) is one of the treatments...