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

Question

23 Jan 2025

Answer :

Word Count : 267

A Decision Tree is a supervised machine learning algorithm used for both classification and regression tasks. It works by splitting the data into subsets based on feature values, creating a tree-like structure where each node represents a decision based on a specific feature. The leaves of the tree represent the final outcome or _____ _____ _______ ____ __________ ________ _________ ______ __________ ____ _______.
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