Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
multiple models and take the maximum vote across those models for the final prediction are called ensemble methods. The idea is that it’s highly unlikely that multiple models would make the same error in the test set. Suppose that we have K regression models, with the model #i making an error ϵi on