A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera

Abstract: Highlights•We present an overview of recent and iconic bagging and boosting based algorithms.•We list their software tools available online and features.•We perform a performance study, extracting some lessons learned.•Some perspectives on ensemble learning are discussed.•Some opportunities and future fields are examined for ensembles in machine learning.