Machine Learning MCQ Questions: Practice and Test Your Knowledge

61

Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models

A) you will have only k features after the first stage B) you will have only m features after the first stage C) you will have k+m features after the first stage D) you will have k*n features after the first stage

Discuss

Answer & Solution

Answer: Option B

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62

Type of dataset available in Supervised Learning is

A) unlabeled dataset B) labeled dataset C) csv file D) excel file

Discuss

Answer & Solution

Answer: Option B

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63

Another name for an output attribute.

A) predictive variable B) independent variable C) estimated variable D) dependent variable

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Answer & Solution

Answer: Option B

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64

PCA works better if there is
1. A linear structure in the data
2. If the data lies on a curved surface and not on a flat surface
3. If variables are scaled in the same unit

A) 1 and 2 B) 2 and 3 C) 1 and 3 D) 1,2 and 3

Discuss

Answer & Solution

Answer: Option C

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65

What is/are true about kernel in SVM?
1. Kernel function map low dimensional data to high dimensional space
2. It's a similarity function

A) 1 B) 2 C) 1 and 2 D) None of these

Discuss

Answer & Solution

Answer: Option C

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66

Which statement about outliers is true?

A) outliers should be part of the training dataset but should not be present in the test data B) outliers should be identified and removed from a dataset C) the nature of the problem determines how outliers are used D) outliers should be part of the test dataset but should not be present in the training data

Discuss

Answer & Solution

Answer: Option C

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67

Select the correct answers for following statements.
1. Filter methods are much faster compared to wrapper methods.
2. Wrapper methods use statistical methods for evaluation of a subset of features while Filter methods use cross validation.

A) both are true B) 1 is true and 2 is false C) both are false D) 1 is false and 2 is true

Discuss

Answer & Solution

Answer: Option B

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68

With Bayes classifier, missing data items are

A) treated as equal compares. B) treated as unequal compares. C) replaced with a default value. D) ignored.

Discuss

Answer & Solution

Answer: Option B

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69

scikit-learn also provides functions for creating dummy datasets from scratch:

A) make_classification() B) make_regression() C) make_blobs() D) all above

Discuss

Answer & Solution

Answer: Option D

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70

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

A) TRUE B) FALSE

Discuss

Answer & Solution

Answer: Option A

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