Decision trees are constructed by analyzing a set of training examples for which the class ... They are expressive enough to model many partitions of the data that are not as easily achieved ...

Note that the leaves are always decisions, and a particular decision might be at the end of multiple branches (for example, we could choose to go to the cinema for two different reasons). Armed with ...