Abstract—Decision trees are one of the most widely used methods of inductive inference. They can be used to learn discrete or continuous valued hypotheses and create compact rules for evaluation of a set of data. An advantage of decision and regression trees is that they are robust to noisy data, which makes them perfectly suited [...]