Final answer:
A decision tree is a display of an algorithm that uses a flowchart-like structure to make predictions or classifications based on input features.
Step-by-step explanation:
A decision tree is a display of an algorithm. This statement is true.
A decision tree is a display of an algorithm that uses a flowchart-like structure to make predictions or classifications based on input features. A decision tree is a flowchart-like structure in which each internal node represents a decision or test on an attribute, each branch represents an outcome of the decision, and each leaf node represents a class label or outcome.
For example, in the field of machine learning, decision trees are commonly used as a predictive modeling tool. They can be used to classify data into different categories based on a set of input features and corresponding labels. Each decision in the tree leads to a different branch, ultimately resulting in a final prediction or classification.