Machine Learning (ML) MCQs | Page - 3
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.
Q. Dimensionality reduction algorithms are one of the possible ways to reduce the computation time required to build a model.
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Correct Answer: (A)
true
Q. Which of the following techniques would perform better for reducing dimensions of a data set?
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Correct Answer: (A)
removing columns which have too many missing values
Q. Supervised learning and unsupervised clustering both require which is correct according to the statement.
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Correct Answer: (C)
input attribute.
Q. What characterize is hyperplance in geometrical model of machine learning?
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Correct Answer: (B)
a plane with 2 dimensional fewer than number of input attributes
Q. In multiclass classification number of classes must be
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Correct Answer: (C)
greater than two
Q. Which of the following can only be used when training data are linearlyseparable?
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Correct Answer: (A)
linear hard-margin svm
Q. What do you mean by a hard margin?
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Correct Answer: (A)
the svm allows very low error in classification
Q. The effectiveness of an SVM depends upon:
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Correct Answer: (A)
selection of kernel
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