Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
without changing the validation loss hurts the model performance. The model with only custom training loss boosts for more rounds (1848) than other cases. If we observe carefully, this model has really low training loss (0.013) and is highly overfitting on the training set. Each gradient boosting