#### Classification Quiz Questions

1. Which of the following metrics are used to evaluate classification models?

2. Which one is a classification algorithm?

3. Classification is-

4. You have a dataset of different flowers containing their petal lengths and color. Your model has to predict the type of flower for given petal lengths and color. This is a-

5. A classifier-

6. Classification is appropriate when you-

7. With the help of a confusion matrix, we can compute-

8. What does recall refer to in classification?

9. False negatives are-

10. Suppose your classification model predicted true for a class which actual value was false. Then this is a-

11. The false negative value is 5 and the true positive value is 20. What will be the value of recall-

12. The true positive value is 10 and the false positive value is 15. Calculate the value of precision-

13. If the precision is 0.6 and the recall value is 0.4. What will be the f measure?

14. Which one is a different algorithm?

15. What is a support vector?

16. Which of the following is a lazy learning algorithm?

17. Which of the following is not a lazy learning algorithm?

18. What is the most widely used distance metric in KNN?

19. Which of the following is the best algorithm for text classification?

20. What does k stand for in the KNN algorithm?

21. Support Vector Machine is-

22. What are hyperplanes?

23. What is a kernel?

24. Which of the following is not a kernel?

25. Why Naive Bayes is called naive?

26. For two events A and B, the Bayes theorem will be-

27. How does a decision tree work?

28. Suppose you have a dataset that is randomly distributed. What will be the best algorithm for that dataset?

29. Which pair of the algorithms are similar in operation?

30. Which metric is not used for evaluating classification models?