Machine Learning, Decision Tree, Open Data, Data Science, Artificial Intelligence.
represents a rule (or decision), and each leaf represents an outcome. The depth of a Tree is defined by the number of levels, not including the root node. In this example, a DT of 2 levels. DTs apply a top-down approach to data, so that given a data set, they try to group and label observations