Overfitting Data
Method of recursive partitioning to construct a classification tree continues to subdivide the set of training cases until each subset in the partition contains cases of a single class, or until no test offers any improvement
Can result in a very complex tree that “overfits the data” leading to an increased error rate on unseen cases