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Machine Learning Practice · End Term · 24 Dec 2023 · September 2023 term · Set FDD1

Question 5: Consider the Ridge regression model in scikit-learn, repr…

Question 5

+2 marksOne correct option

Consider the Ridge regression model in scikit-learn, represented by the Ridge class.
Which of the following statements about Ridge regression is correct?

  1. A

    Ridge regression is designed to handle class imbalance of the dataset.

  2. B

    The regularization term in Ridge regression is added to the sum of absolute residuals.

  3. C

    Increasing the value of the regularization parameter (alpha) in Ridge regression makes the model less sensitive to high-magnitude coefficients.

  4. D

    Ridge regression is equivalent to Lasso regression when the regularization parameter (alpha) is set to zero.

Show answer

Correct answer

  • C

    Increasing the value of the regularization parameter (alpha) in Ridge regression makes the model less sensitive to high-magnitude coefficients.

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Question 5 of 38 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 24 Dec 2023, in the September 2023 term (IIT M DIPLOMA FN EXAM FDD1 24 Dec 2023). It carries 2 marks.

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