Machine Learning MCQ Multiple Choice Questions Answers | Quiz for Practice
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.
Machine Learning MCQ Questions for Practice
1. Regression trees are often used to model ........... data.
Correct Answer is: nonlinear
2. Selecting data so as to assure that each class is properly represented in both the training and test set.
Correct Answer is: stratification
3. Simple regression assumes a ........... relationship between the input attribute and output attribute.
Correct Answer is: linear
4. Supervised learning and unsupervised clustering both require at least one
Correct Answer is: hidden attribute.
5. Supervised learning differs from unsupervised clustering in that supervised learning requires
Correct Answer is: input attributes to be categorical.
6. Suppose your model is overfitting. Which of the following is NOT a valid way to try and reduce the overfitting?
Correct Answer is: Improve the optimisation algorithm being used for error minimisation.
7. The adjusted multiple coefficient of determination accounts for
Correct Answer is: none of the above
8. The average positive difference between computed and desired outcome values.
Correct Answer is: mean positive error
9. The average squared difference between classifier predicted output and actual output.
Correct Answer is: mean squared error
10. The correlation between the number of years an employee has worked for a company and the salary of the employee is 0.75. What can be said about employee salary and years worked?
Correct Answer is: Individuals that have worked for the company the longest have higher salaries.
11. The correlation coefficient for two real-valued attributes is 0.85. What does this value tell you?
Correct Answer is: As the value of one attribute decreases the value of the second attribute increases.
12. The leaf nodes of a model tree are
Correct Answer is: linear regression equations.
13. The multiple coefficient of determination is computed by
Correct Answer is: dividing SST by SSE
14. The process of forming general concept definitions from examples of concepts to be learned.
Correct Answer is: induction
15. The standard error is defined as the square root of this computation.
Correct Answer is: The sample variance divided by the total number of sample instances.
16. This clustering algorithm initially assumes that each data instance represents a single cluster.
Correct Answer is: K-Means clustering
17. This clustering algorithm merges and splits nodes to help modify nonoptimal partitions.
Correct Answer is: K-Means clustering
18. This supervised learning technique can process both numeric and categorical input attributes.
Correct Answer is: linear regression
19. This technique associates a conditional probability value with each data instance.
Correct Answer is: logistic regression
20. This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration.
Correct Answer is: K-Means clustering
21. When doing least-squares regression with regularisation (assuming that the optimisation can be done exactly), increasing the value of the regularisation parameter (Lambda)
Correct Answer is: will never decrease the training error.
22. Which is not true about Gradient of a continuous and differentiable function
Correct Answer is: is non-zero at a maximum
23. Which of the following is a common use of unsupervised clustering?
Correct Answer is: detect outliers
24. Which of the following is not an advantage of Grid search
Correct Answer is: It runs reasonably fast for multiple linear regression.
25. Which of the following points would Bayesians and frequentists disagree on?
Correct Answer is: The use of prior distributions on the parameters in a probabilistic model.
26. Which of the following sentence is FALSE regarding regression?
Correct Answer is: It discovers causal relationships.
27. Which statement about outliers is true?
Correct Answer is: The nature of the problem determines how outliers are used.
28. Which statement is true about neural network and linear regression models?
Correct Answer is: Both models require input attributes to be numeric.
29. Which statement is true about prediction problems?
Correct Answer is: The resultant model is designed to classify current behavior.
