Data Science, Machine Learning, Extrapolation, Regression, IBM.
also important features in tree-based models. They were both among the top 6 features, but were not as valuable as they were for linear regression. Random forest and decision tree determined seasonal and weather features to be more important (Figs 2.3 and 2.4). In other words, the linear model