Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
trained on custom training loss and tuned early stopping rounds with customized validation loss The final model uses both custom training and validation losses. It gives the best asymmetric MSE score with relatively small number of boosting iterations. The losses are aligned with what we care