Which statement correctly describes precision, recall, and F1-score in classification?

Options

  • A. Precision measures the correctness of positive predictions, recall measures how many actual positives are identified, and F1-score balances precision and recall
  • B. Precision measures only the training time, while recall measures memory usage
  • C. Recall is used only for regression problems
  • D. F1-score is calculated without considering precision or recall
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. Precision measures the correctness of positive predictions, recall measures how many actual positives are identified, and F1-score balances precision and recall

Detailed Explanation

Precision measures how many predicted positive cases are actually positive. Recall measures how many actual positive cases are correctly identified. The F1-score combines precision and recall into a single measure and is particularly useful when both are important.

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