Decision Tree Algorithm! Table Of Contents: Decision Tree Algorithm. Why Use Decision Trees? Types Of Decision Trees. Terminology Related To Decision Tree. Examples Of Decision Tree. Assumptions While Creating Decision Tree. How Decision Trees Work. Attribute Selection Measures. Advantages & Disadvantages Of Decision Tree. (1) What Is Decision Tree Algorithm? A decision tree is a non-parametric supervised learning algorithm for classification and regression tasks. It has a hierarchical tree structure consisting of a root node, branches, internal nodes, and leaf nodes. Decision trees are used for classification and regression tasks, providing easy-to-understand models. In a Decision tree, there are two nodes,

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