Machine Learning (ML) MCQs | Page - 4
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. 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.
✅ Correct Answer: (A)
true
Q. What is the purpose of the Kernel Trick?
✅ Correct Answer: (A)
to transform the data from nonlinearly separable to linearly separable
Q. Which of the following can only be used when training data are linearlyseparable?
✅ Correct Answer: (A)
linear hard-margin svm
Q. The firing rate of a neuron
✅ Correct Answer: (B)
is more analogous to the output of a unit in a neural net than the output voltage of the neuron
Q. Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
✅ Correct Answer: (D)
mean-squared-error
Q. The cost parameter in the SVM means:
✅ Correct Answer: (C)
the tradeoff between misclassification and simplicity of the model
Q. The kernel trick
✅ Correct Answer: (D)
exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points
Q. How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?
✅ Correct Answer: (C)
ridge has larger bias, smaller variance
Q. Which of the following are real world applications of the SVM?
✅ Correct Answer: (D)
all of the above
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