Which of the following best describes a decision tree?

A decision tree is best described as a flowchart-like structure for decision-making processes. It is designed to assist in making decisions by visually mapping out different possible outcomes or actions based on certain conditions. Each internal node of the tree represents a decision point based on the value of a certain attribute, while branches indicate the possible options or decisions that can be made. The terminal nodes or leaves of the tree represent the final outcome after traversing the various branches according to the conditions provided.

This structure is versatile and can be applied to both classification and regression problems, making it a key tool in machine learning and data analysis. The logical progression from the root to the leaves allows users to easily follow the path based on specific inputs, making it a powerful tool for understanding complex decision-making processes.