Stacking is an ensemble learning technique that combines several machine learning techniques into one predictive model. The base level models are trained based on a complete training set, then the meta-model is trained on the outputs of the base level model as features.
An ensemble learning technique that combines several machine learning techniques into one predictive model.
Written by Alejandro Bonilla
Updated over a week ago