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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.
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Q. 32) A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
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Q. 33) What is the purpose of the Kernel Trick?
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Q. 34) Which of the following can only be used when training data are linearlyseparable?
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Q. 36) Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
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Q. 37) The cost parameter in the SVM means:
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Q. 39) How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?
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Q. 40) Which of the following are real world applications of the SVM?
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