The more data is available for training the decision tree, the more accurate its knowledge extraction will be, and thus, it will make more accurate decisions. The more variables the tree can choose from, the greater is the likely of the accuracy of the decision tree. In addition, a good decision tree should also be frugal so that it takes the least number of questions, and thus, the least amount of effort, to get to the right decision.
