Oblique decision tree ensemble via twin bounded SVM

• Main Authors: Ganaie, M. A., Tanveer, M., Suganthan, Ponnuthurai Nagaratnam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Oblique; Ensemble
• Online Access: https://hdl.handle.net/10356/161155
• Institution: Nanyang Technological University

Ensemble methods with “perturb and combine” strategy have shown improved performance in the classification problems. Recently, random forest algorithm was ranked one among 179 classifiers evaluated on 121 UCI datasets. Motivated by this, we propose a new approach for the generation of oblique decisi...