Classification of diabetic patients with imbalanced class distribution by using a Cost-Sensitive forest algorithm / Ummi Asyiqin Che Muhammad and Muhammad Hasbullah Mohd Razali

In the medical data set, the majority class consist of healthy patients, whereas the minority class consist of a few sick patients. Although many machine learning algorithms have been developed by researchers, the class imbalanced distribution still makes it challenging for classifiers to properly...

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Bibliographic Details
Main Authors: Che Muhammad, Ummi Asyiqin, Mohd Razali, Muhammad Hasbullah
Format: Book Section
Language:English
Published: College of Computing, Informatics and Media, UiTM Perlis 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/100154/1/100154.pdf
https://ir.uitm.edu.my/id/eprint/100154/
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