two-class tree

The **two-class tree** refers to a type of decision tree or classification tree used in machine learning and data analysis, where the goal is to categorize data points into one of two distinct classes. This binary classification model splits data based on feature values to create branches that lead to a final decision, helping to predict outcomes such as yes/no, true/false, or positive/negative. Two-class trees are commonly used in applications like spam detection, medical diagnosis, and customer churn prediction.