Machine Learning MCQ Questions and Answers Quiz

51. Machine learning techniques differ from statistical techniques in that machine learning methods

  1. typically assume an underlying distribution for the data.
  2. are better able to deal with missing and noisy data.
  3. are not able to explain their behavior.
  4. have trouble with large-sized datasets

52. Regarding bias and variance, which of the follwing statements are true? (Here high and low are relative to the ideal model)

  1. Models which overfit have a high bias and underfit have a high variance.
  2. Models which overfit have a high bias and underfit have a low variance.
  3. Models which overfit have a low bias and underfit have a high variance.
  4. Models which overfit have a low bias and underfit have a low variance.

53. A multiple regression model has

  1. only one independent variable
  2. more than one dependent variable
  3. more than one independent variable
  4. none of the above
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