Ensemble Learning
E
Ensemble Learning
Definition
A machine learning approach that combines multiple models to produce better predictions than any individual model. Techniques include bagging (Random Forest), boosting (XGBoost, AdaBoost), and stacking, which leverage the diversity of different learners.