Which statement correctly describes the training and testing process in Machine Learning?

Options

  • A. Training data is used to learn the model, while testing data is used to evaluate its performance on unseen examples
  • B. Testing data is always used before training data
  • C. Training and testing data must always contain exactly the same records
  • D. Testing data is used only to increase the size of the training dataset
  • 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 its performance on unseen examples

Detailed Explanation

During training, the model learns patterns from the training dataset. During testing, the trained model is evaluated using previously unseen data. Keeping testing data separate helps provide a more reliable estimate of the model’s generalization ability.

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