Ensemble Learning

**Definition:** A method in machine learning where several base learners are combined to create an optimal learning model. This can be used for a variety of models including forecasting, classification, or function approximation.

**Tree numbers:** - G17.035.250.500.438 - L01.224.050.375.530.438

**Synonyms:** - Ensemble Model Aggregation