Which statement best describes Semi-supervised Learning?

Options

  • A. It uses a combination of a small amount of labeled data and a larger amount of unlabeled data
  • B. It uses only labeled data
  • C. It uses only unlabeled data
  • D. It does not use any training data
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It uses a combination of a small amount of labeled data and a larger amount of unlabeled data

Detailed Explanation

Semi-supervised Learning combines labeled and unlabeled data during learning. Typically, a relatively small portion of the available data has labels, while a much larger portion is unlabeled. This approach can be useful when obtaining labels is expensive or time-consuming.

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