Ensemble Methods

Ensemble methods that train multiple learners and then combine them to use, with extit{Boosting} and extit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.