Which of the following is a major advantage of supervised learning?

Options

  • A. It can learn a mapping from inputs to known target outputs and make predictions for new data
  • B. It never requires labeled data
  • C. It cannot be used for prediction
  • D. It always produces perfectly accurate results
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It can learn a mapping from inputs to known target outputs and make predictions for new data

Detailed Explanation

A major advantage of Supervised Learning is that labeled examples provide a clear target for learning. This allows models to perform tasks such as classification and regression and make predictions on previously unseen data. Its major limitation is the need for reliable labeled training data.

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