Are categorical variables getting lost in your random forests?TL;DR Decision tree models can handle categorical variables without one-hot encoding them. However, popular implementations of decision trees (and random forests) differ as to whether they honor this fact. We show that one-hot encoding can seriously degrade tree-model performance. Our primary comparison is between H2O (which honors categorical variables) and scikit-learn (which requires them to be
