Decision trees function by splitting data into branches based on specific criteria. Each node in the tree represents a question, and each branch represents the possible answers to that question. This continues until a conclusion or decision is reached. For instance, a decision tree might be used to select the appropriate type of nanomaterial for a specific application based on properties like size, shape, and chemical composition.
