Machine Learning MCQs with answers Page - 9

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Q. The multiple coefficient of determination is computed by

  • (A) dividing ssr by sst
  • (B) dividing sst by ssr
  • (C) dividing sst by sse
  • (D) none of the above

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Q. The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA?
1. PCA is an unsupervised method
2. It searches for the directions that data have the largest variance
3. Maximum number of principal components <= number of features
4. All principal components are orthogonal to each other

  • (A) 1 & 2
  • (B) 2 & 3
  • (C) 3 & 4
  • (D) all of the above

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Q. A term used to describe the case when the independent variables in a multiple regression model are correlated is

  • (A) regression
  • (B) correlation
  • (C) multicollinearity
  • (D) none of the above

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Q. What are two steps of tree pruning work?

  • (A) pessimistic pruning and optimistic pruning
  • (B) Lasso regression uses subset selection of features
  • (C) cost complexity pruning and time complexity pruning
  • (D) none of the options

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Q. 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

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Q. Type of dataset available in Supervised Learning is

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

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Q. Another name for an output attribute.

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

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Q. 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

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Q. 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

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Q. 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

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