Empirical bayesian binary classification forests using bootstrap prior

• 主要な著者: Olaniran, Oyebayo Ridwan, Abdullah, Mohd Asrul Affendi, Gopal Pillay, Khuneswari A/P, Olaniran, Saidat Fehintola
• フォーマット: 論文
• 出版事項: Science Publishing Corporation 2018
• 主題: T57.6-57.97 Operations research. Systems analysis
• オンライン･アクセス: 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...