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Exam AIGP topic 1 question 82 discussion

Actual exam question from IAPP's AIGP
Question #: 82
Topic #: 1
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What is the most important purpose of a validation data set when developing a machine learning model?

  • A. To guide model optimization during the training process.
  • B. To increase the total amount of data for ingestion.
  • C. To serve as a final set of unseen data.
  • D. To evaluate the model’s final performance prior to deployment.
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Suggested Answer: A 🗳️

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Ecommail
3 days, 20 hours ago
Selected Answer: A
Correct Answer is: A The most important purpose of a validation dataset when developing a machine learning model is to evaluate the model's performance on unseen data and prevent overfitting. It provides an unbiased estimate of how well the model generalizes to new, independent data by allowing you to tune hyperparameters and assess the model's accuracy, precision, recall, or other metrics during training. This helps ensure the model is not just memorizing the training data but learning patterns that apply broadly.
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