Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
using custom MSE The scores from both of these models are very close with no material difference. This is because the the validation loss is only used to decide when to stop boosting. The gradient is optimizing default MSE in both the cases. Each subsequent tree produces same output for both of the