Empirical comparison of bagging-based ensemble classifiers

• Main Authors: Suganthan, P. N., Ye, Ren
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101838; http://hdl.handle.net/10220/19784; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289900
• Institution: Nanyang Technological University

This paper compares empirically four bagging-based ensemble classifiers, namely the ensemble adaptive neuro-fuzzy inference system (ANFIS), the ensemble support vector machine (SVM), the ensemble extreme learning machine (ELM) and the random forest. The comparison of these four ensemble classifiers...