Q11: Explain Decision Tree algorithm with the help of a suitable example.

Introduction Decision Tree is a popular supervised learning algorithm used for both classification and regression tasks. It uses a tree-like structure where each internal node represents a test on a feature, each branch represents an outcome of the test, and each leaf node represents a class label or output. Key Concepts Root Node: The starting […]

Q11: Explain Decision Tree algorithm with the help of a suitable example. Read More »