Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
models. The only difference is that the model with custom validation loss stops at 742 boosting iterations while the other runs for a few more. LightGBM with tuned early stopping using custom MSE → LightGBM trained on custom loss and tuned early stopping with MSE Only customizing the training loss