Machine Learning Multiple Choice Questions and Answers

MCQ quiz on Machine Learning multiple choice questions and answers on Machine Learning MCQ questions on Machine Learning objectives questions with answer test pdf for interview preparations, freshers jobs and competitive exams. Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject.

Machine Learning MCQ Questions and Answers Quiz

1. 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
  5. only one independent variable
  6. more than one dependent variable
  7. more than one independent variable
  8. none of the above
  9. only one independent variable
  10. more than one dependent variable
  11. more than one independent variable
  12. none of the above

2. Which statement is true about prediction problems?

  1. The output attribute must be categorical.
  2. The output attribute must be numeric.
  3. The resultant model is designed to determine future outcomes.
  4. The resultant model is designed to classify current behavior.

3. Supervised learning differs from unsupervised clustering in that supervised learning requires

  1. at least one input attribute.
  2. input attributes to be categorical.
  3. at least one output attribute.
  4. ouput attriubutes to be categorical.

4. 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
  5. only one independent variable
  6. more than one dependent variable
  7. more than one independent variable
  8. none of the above
  9. only one independent variable
  10. more than one dependent variable
  11. more than one independent variable
  12. none of the above

5. 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
  5. only one independent variable
  6. more than one dependent variable
  7. more than one independent variable
  8. none of the above
  9. only one independent variable
  10. more than one dependent variable
  11. more than one independent variable
  12. none of the above

6. Supervised learning and unsupervised clustering both require at least one

  1. hidden attribute.
  2. output attribute.
  3. input attribute.
  4. categorical attribute.

7. A measure of goodness of fit for the estimated regression equation is the

  1. multiple coefficient of determination
  2. mean square due to error
  3. mean square due to regression
  4. none of the above

8. A nearest neighbor approach is best used

  1. with large-sized datasets.
  2. when irrelevant attributes have been removed from the data.
  3. when a generalized model of the data is desireable.
  4. when an explanation of what has been found is of primary importance.

9. A regression model in which more than one independent variable is used to predict the dependent variable is called

  1. a simple linear regression model
  2. a multiple regression models
  3. an independent model
  4. none of the above

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

  1. regression
  2. correlation
  3. multicollinearity
  4. none of the above
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