Comparative Performance Evaluation of Efficiency for High Dimensional Classification Methods

• Main Authors: Okwonu, Friday Zinzendoff, Ahad, Nor Aishah, Ogini, Nicholas Oluwole, Okoloko, Innocent Ejiro, Wan Husin, Wan Zakiyatussariroh
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2022
• Subjects: QA Mathematics
• Online Access: https://repo.uum.edu.my/id/eprint/28745/1/JICT%2021%2003%202022%20437-464.pdf; https://doi.org/10.32890/jict2022.21.3.6; https://repo.uum.edu.my/id/eprint/28745/; https://e-journal.uum.edu.my/index.php/jict/article/view/14789; https://doi.org/10.32890/jict2022.21.3.6

This paper aimed to determine the efficiency of classifiers for high-dimensional classification methods. It also investigated whether an extreme minimum misclassification rate translates into robust efficiency. To ensure an acceptable procedure, a benchmark evaluation threshold (BETH) was proposed a...