Which statement correctly describes a Decision Tree in Machine Learning?

Options

  • A. It represents decisions using a tree-like structure of tests, branches, and outcomes
  • B. It always requires all features to be statistically independent
  • C. It can only solve unsupervised learning problems
  • D. It is used only for storing training datasets
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It represents decisions using a tree-like structure of tests, branches, and outcomes

Detailed Explanation

A Decision Tree represents a model as a tree structure. Internal nodes generally represent tests on features, branches represent possible outcomes of those tests, and leaf nodes represent the final prediction or class. Decision trees can be used for classification and regression.

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