Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models

Tal Galili, Isaac Meilijson

It is widely believed that the prediction accuracy of decision tree models is invariant under any strictly monotone transformation of the individual predictor variables. However, t…