Java: Data Science Made Easy

Decision tree types

A tree can be taught by dividing an input dataset by the features. This is often done in a recursive fashion and is called recursive partitioning or Top-Down Induction of Decision Trees (TDIDT). The recursion is bounded when node's values are all of the same type as the target or the recursion no longer adds value.

Classification and Regression Tree (CART) analysis refers to two different types of decision tree types:

• Classification tree analysis: The leaf corresponds to a target feature
• Regression tree analysis: The leaf possesses a real number representing a feature

During the process of analysis, multiple trees may be created. There are several techniques used to create trees. The techniques are called ensemble methods ...