Ensemble Methods: Foundations and Algorithms

nsemble methods train multiple learners and then combine them for use. They have become a hot topic in academia since the 1990s, and are enjoying increased attention in industry. This is mainly based on their generalization ability, which is often much stronger than that of simple/base learners. Ensemble methods are able to boost weak learners, which are even just slightly better than random performance to strong learners, which can make very accurate predictions.