Which statement correctly distinguishes training data from testing data?

Options

  • A. Training data is used to learn the model, while testing data is used to evaluate the trained model on unseen examples
  • B. Testing data is always used to train the model
  • C. Training and testing data must always contain exactly the same records
  • D. Testing data is used only for increasing the number of features
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. Training data is used to learn the model, while testing data is used to evaluate the trained model on unseen examples

Detailed Explanation

Training data is used by the learning algorithm to learn model parameters or patterns. Testing data is kept separate and is used after training to estimate how well the model performs on previously unseen examples.

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