Empirical bayesian binary classification forests using bootstrap prior

• Main Authors: Olaniran, Oyebayo Ridwan, Abdullah, Mohd Asrul Affendi, Gopal Pillay, Khuneswari A/P, Olaniran, Saidat Fehintola
• Format: Article
• Published: Science Publishing Corporation 2018
• Subjects: T57.6-57.97 Operations research. Systems analysis
• Online Access: http://eprints.uthm.edu.my/3676/

In this paper, we present a new method called Empirical Bayesian Random Forest (EBRF) for binary classification problem. The prior ingredient for the method was obtained using the bootstrap prior technique. EBRF addresses explicitly low accuracy problem in Random Forest (RF) classifier when the numb...