Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
problem. Concretely, instead of directly optimizing num boosting rounds, we usually use the early_stopping_rounds variable. It stops boosting when the validation loss starts increasing for the given number of early stopping rounds. Effectively, it prevents overfitting by monitoring the validation