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.
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.
