What are Decision Trees?
A decision tree is a prediction model that bases choices on incoming data using a flowchart-like structure. It creates data branches and places result at leaf nodes. For classification and regression problems, decision trees are utilized, offering models that are simple to understand. A hierarchical model known as a decision tree is used in decision support to represent decisions and their potential outcomes, including chance events, resource costs, and utility. This algorithmic approach, which is non-parametric, supervised learning, and appropriate for both classification and regression applications, makes use of conditional control statements. A root node, branches, internal nodes, and leaf nodes make up the tree structure, which has a hierarchical tree-like shape.