Decision tree model

A decision tree model is a type of supervised machine learning algorithm used for both classification and regression tasks. It represents decisions and their potential consequences in a tree-like structure, which visualizes how to reach a decision based on certain conditions or features. ### Structure of a Decision Tree: - **Nodes:** Each internal node represents a feature (or attribute) used to make decisions. - **Branches:** The branches represent the outcomes of tests on features, leading to subsequent nodes or leaf nodes.