Decision trees are a very intuitive, easy-to-implement predictive modeling technique. They literally can be depicted as a tree — a sequence of criteria for classifying customers according to a metric such as likelihood of response. The pictorial representation of the tree makes it easy to apply and communicate. This chapter discusses the methods for creating the branches of the tree, deciding how many branches the tree should have and further details in constructing decision trees.
KeywordsDecision Tree Root Node Internal Node Child Node Terminal Node
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