Decision Trees QUIZ (MCQ QUESTIONS AND ANSWERS)

Question: 1

In the context of decision trees, what is "one-hot encoding" used for?

Question: 2

What is a common technique used to reduce the variance of a decision tree?

Question: 3

In a decision tree, what is the purpose of the leaf nodes?

Question: 4

Which of the following algorithms can be used for both classification and regression tasks?

Question: 5

What is the primary difference between a decision tree and a decision stump?

Question: 6

How can decision trees be made more robust to noise in the data?

Question: 7

Which of the following is an ensemble learning technique that uses decision trees as base learners?

Question: 8

Which of the following is a disadvantage of using decision trees for classification tasks?

Question: 9

In the context of decision trees, what does "feature importance" refer to?

Question: 10

Which of the following is a disadvantage of using decision trees for regression tasks?

Question: 11

Which of the following is NOT a common use case for decision trees?

Question: 12

What is the primary purpose of the Gradient Boosting Machine (GBM) algorithm?

Question: 13

Which of the following techniques can be used to reduce overfitting in decision trees?

Question: 14

What is the main disadvantage of using a large maximum depth for a decision tree?

Question: 15

How do decision trees handle continuous variables?

Question: 16

What is a decision tree in the context of machine learning?

Question: 17

Which of the following is a common stopping criterion for growing a decision tree?

Question: 18

What is entropy in the context of decision trees?

Question: 19

What is a decision boundary in the context of decision trees?

Question: 20

Which of the following is a popular method for splitting nodes in a regression tree?

Question: 21

What is the primary purpose of the AdaBoost algorithm?

Question: 22

What is the primary difference between bagging and boosting in the context of decision trees?

Question: 23

What is the main advantage of using bagging with decision trees?

Question: 24

What is the primary purpose of the Random Forest algorithm?

Question: 25

What is the main difference between classification and regression trees (CART)?

Question: 26

Which of the following is a popular algorithm for constructing decision trees?

Question: 27

What is the purpose of pruning in decision trees?

Question: 28

What is the main disadvantage of decision trees in machine learning?

Question: 29

Which of the following is a common method for splitting nodes in a decision tree?

Question: 30

What is the primary advantage of using decision trees in machine learning?