What is the primary purpose of testing data in Machine Learning?

Options

  • A. To evaluate how well a trained model performs on previously unseen data
  • B. To directly modify the model parameters during training
  • C. To create the programming language used by the model
  • D. To replace all training data
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. To evaluate how well a trained model performs on previously unseen data

Detailed Explanation

Testing data is used to evaluate the performance of a trained Machine Learning model on data that was not used for learning. It provides an estimate of how well the model may perform on unseen real-world examples.

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