Welcome to your Machine Learning Quizzes 2024 This quiz has multiple choice questions and each has only one correct answer.
Total Questions : 25
To pass this quiz you need to score 80% or above.
Time Provided : 45 minutes
Today's Date : 10 September 2026
All the best!!
Name
Email
1. In decision trees, what is the information gain used for?
2. Which of the following methods can be used to estimate the parameters of a linear regression model?
3. Which of the following is the logistic regression model used for?
4. What is overfitting in the context of decision trees?
5. What is the equation of the logistic function used in logistic regression?
6. What type of dependent variable is used in logistic regression?
7. What does the coefficient "m" represent in the linear regression equation y=mx+b?
8. In a simple linear regression model, what is the equation used to predict the dependent variable y?
9. What does an odds ratio greater than 1 indicate in logistic regression?
10. What is multicollinearity in the context of multiple linear regression?
11. Which of the following is a common regularization technique used in logistic regression to prevent overfitting?
12. Which of the following is the main objective of linear regression?
13. In the context of logistic regression, what is multicollinearity?
14. Which of the following metrics is commonly used to measure the goodness of fit in a linear regression model?
15. Which of the following methods can be used to estimate the parameters in logistic regression?
16. What is the purpose of the y-intercept "b" in the linear regression equation y=mx+b?
17. Which of the following metrics is commonly used to evaluate the performance of a logistic regression model?
18. What is a leaf node in a decision tree?
19. Which assumption is NOT required for linear regression analysis?
20. What type of problems are decision trees typically used for?
21. In the context of linear regression, what does a residual represent?
22. Which of the following techniques can be used to check for multicollinearity?
23. What is a decision node in a decision tree?
24. Which criterion is commonly used to split nodes in a decision tree for classification?
25. In logistic regression, what is the purpose of the threshold value?
