Bagging Controller By Sharp

Bagging is a term in machine learning that refers to ensemble learning techniques in which multiple models are trained on different subsets (or "bags") of the training data, and their predictions are then combined to make a final prediction. A bagging controller is a technique that can be used to optimize the hyperparameters of a bagging model to achieve better performance. Overall, bagging is a powerful technique for reducing overfitting and improving the robustness and generalization of machine learning models.