Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
custom validation loss appears to make more predictions on the right side of histogram, i.e. the actual values are greater than the predicted values. This is expected because of the asymmetric custom loss function. This right sided shift of the residuals can be better visualized using a kernel