Data Science, Machine Learning, Extrapolation, Regression, IBM.
smaller than tree-based models in this use case is that the distribution of values is more extreme. As mentioned above the data distribution has a high number of extreme outliers and therefore the target values in the extrapolation set are farther away from the known distribution in our training