Enhanced Robust Univariate Classification Methods for Solving Outliers and Overfitting Problems

• Main Authors: Okwonu, Friday Zinzendoff, Ahad, Nor Aishah, Hamid, Hashibah, Muda, Nora, Sharipov, Olimjon Shukurovich
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: https://repo.uum.edu.my/id/eprint/29392/1/JICT%2022%2001%202023%201-30.pdf; https://repo.uum.edu.my/id/eprint/29392/; https://doi.org/10.32890/jict2023.22.1.1
• Institution: Universiti Utara Malaysia

The robustness of some classical univariate classifiers is hampered if the data are contaminated. Overfitting is another hiccup when the data sets are uncontaminated with a considerable sample size. The performance of the classification models can be easily biased by the outliers’ problems, of which...