Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
limiting the number of boosting rounds to default (i.e., 100), we should let the model decide optimal number of boosting rounds using the early stopping hyper parameter. Hyper parameter optimization matters! LightGBM with tuned early stopping rounds using MSE → LightGBM with tuned early stopping