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Machine Learning (ML) MCQs | Page - 22
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. Which of the following is true about Manhattan distance?
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Q. A company has build a kNN classifier that gets 100% accuracy on training data. When they deployed this model on client side it has been found that the model is not at all accurate. Which of the following thing might gone wrong? Note: Model has successfully deployed and no technical issues are found at client side except the model performance
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Q. hich of the following classifications would best suit the student performance classification systems?
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Q. Which statement is true about the K-Means algorithm? Select one:
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Q. Which of the following can act as possible termination conditions in K-Means?
1. For a fixed number of iterations.
2. Assignment of observations to clusters does not change between iterations. Except for cases with a bad local minimum.
3. Centroids do not change between successive iterations.
4. Terminate when RSS falls below a threshold.
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Q. Which of the following statement is true about k-NN algorithm?
1) k-NN performs much better if all of the data have the same scale
2) k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large
3) k-NN makes no assumptions about the functional form of the problem being solved
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Q. In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes
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Q. How will you counter over-fitting in decision tree?
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Q. Skewness of Normal distribution is ___________
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