Devising Multivariate Splits for Optimal Decision Trees

Decision trees are often desirable for classification/regression tasks thanks to their human-friendly models. Unfortunately, the construction of decision trees is a hard problem which usually implies having to rely on imperfect heuristic methods. Advancements in algorithmics and hardware processing power have rendered globally optimal trees...