11. It is not necessary to have a target variable for applying dimensionality reduction algorithms
12. Hierarchical clustering is slower than non-hierarchical clustering?
13. Which of the following can help to reduce overfitting in an SVM classifier?
14. SVM can solve linear and non-linear problems
15. Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?
16. Overfitting is more likely when you have huge amount of data to train?
17. Gain ratio tends to prefer unbalanced splits in which one partition is much smaller than the other
18. In the mathematical Equation of Linear Regression Y = β1 + β2X + ∊, (β1, β2) refers to . . . . . . . .
19. Which of the following is not a kernel method in SVM?
20. Identify the various approaches for machine learning.
Read More Section(Machine Learning)
Each Section contains maximum 100 MCQs question on Machine Learning. To get more questions visit other sections.