Machine Learning (ML) MCQs | Page - 56

Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.

M

Mr. Dubey • 97.30K Points
Coach

Q. The effectiveness of an SVM depends upon:

  • (A) selection of ke
  • (B) kernel param
  • (C) soft margin pa
  • (D) all of the abov
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M

Mr. Dubey • 97.30K Points
Coach

Q. Support vectors are the data points that lie closest to the decision

  • (A) true
  • (B) false
  • (C) ---
  • (D) ---
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M

Mr. Dubey • 97.30K Points
Coach

Q. Suppose you are using RBF kernel in SVM with high Gamma valu

  • (A) the model wo
  • (B) uthe model wo
  • (C) the model wou
  • (D) none of the ab
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M

Mr. Dubey • 97.30K Points
Coach

Q. Which of the following are real world applications of the SVM?

  • (A) text and hype
  • (B) image classifi
  • (C) clustering of n
  • (D) all of the abov
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M

Mr. Dubey • 97.30K Points
Coach

Q. Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting.Which of the following option would you more likely to consider iterating SVM next time?

  • (A) you want to in
  • (B) you want to d
  • (C) you will try to c
  • (D) you will try to r
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M

Mr. Dubey • 97.30K Points
Coach

Q. We usually use feature normalization before using the Gaussian k

  • (A) e 1
  • (B) 1 and 2
  • (C) 1 and 3
  • (D) 2 and 3
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M

Mr. Dubey • 97.30K Points
Coach

Q. Linear SVMs have no hyperparameters that need to be set by cross-valid

  • (A) true
  • (B) false
  • (C) ---
  • (D) ---
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M

Mr. Dubey • 97.30K Points
Coach

Q. The process of forming general concept definitions from examples of concepts to be learned.

  • (A) deduction
  • (B) abduction
  • (C) induction
  • (D) conjunction
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