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

Question 31: When using a Support Vector Classifier (SVC) in scikit-l…

Question 31

+3 marksOne or more correct options

When using a Support Vector Classifier (SVC) in scikit-learn with different values of the regularization parameter (C), how does the complexity of the decision boundary change? Select all correct statements:

Select all that apply.

  1. A

    Smaller values of C result in a more complex decision boundary.

  2. B

    Larger values of C result in a more complex decision boundary.

  3. C

    The decision boundary becomes simpler with increasing values of C.

  4. D

    Very large values of C may lead to overfitting.

Show answer

Correct answers

  • B

    Larger values of C result in a more complex decision boundary.

  • D

    Very large values of C may lead to overfitting.

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Question 31 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 3 marks.

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