All of the following are true regarding full versus pruned decision trees EXCEPT: O pruning is a technique in machine learning that reduces the size of decision trees O pruning increases overfitting and therefore increases accuracy O pruning reduces the complexity Opruning removing sections of the tree that provide little power to classify instances