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Deep Learning for Computer Vision · End Term · 31 Aug 2025 · May 2025 term · Set QDB1

Question 10: Which one of the following statements regarding hyperpar…

Question 10

+2 marksOne correct option

Which one of the following statements regarding hyperparameter tuning is false?

  1. A

    Validation set is the best choice for tuning hyperparameters

  2. B

    Picking hyperparameters that perform the best on the training set leads to overfitting

  3. C

    Tuning hyperparameters on the test set is an acceptable approach to find the most powerful model for generalization performance

  4. D

    Test set performance, with hyperparameters tuned on the validation set, would be a realistic measure of how the model will generalize to new data.

Show answer

Correct answer

  • C

    Tuning hyperparameters on the test set is an acceptable approach to find the most powerful model for generalization performance

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Question 10 of 52 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIA3 31 Aug 2025). It carries 2 marks.

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