Supervised Learning QUIZ - MCQ QUESTIONS AND ANSWERS

Question: 1

Which of the following evaluation metrics is commonly used for classification problems?

Question: 2

Which of the following evaluation metrics is commonly used for regression problems?

Question: 3

In the context of supervised learning, what is the purpose of a grid search?

Question: 4

Which of the following is a common method for feature scaling?

Question: 5

What is the purpose of one-hot encoding in supervised learning?

Question: 6

What is the role of a bias term in linear models, such as linear regression or logistic regression?

Question: 7

Which of the following is an example of an ensemble method?

Question: 8

What is the purpose of using a confusion matrix in classification problems?

Question: 9

What is the purpose of using feature scaling in supervised learning?

Question: 10

Which of the following is an example of a parametric supervised learning algorithm?

Question: 11

Which of the following is an example of a non-parametric supervised learning algorithm?

Question: 12

In the context of supervised learning, what is an ensemble method?

Question: 13

Which supervised learning algorithm is based on the concept of entropy and information gain?

Question: 14

Which supervised learning algorithm is based on the idea of maximizing the margin between classes?

Question: 15

What is the main difference between a parametric and a non-parametric supervised learning algorithm?

Question: 16

Which of the following is a common loss function for classification problems?

Question: 17

Which of the following is a common loss function for regression problems?

Question: 18

What is the purpose of regularization in supervised learning?

Question: 19

Which of the following is an example of regularization?

Question: 20

What is the role of a validation set in supervised learning?

Question: 21

What is underfitting in supervised learning?

Question: 22

Which of the following is a common method for splitting data into training and testing sets?

Question: 23

Which of the following is an example of a supervised learning algorithm?

Question: 24

What is the purpose of using a loss function in supervised learning?

Question: 25

What is supervised learning?

Question: 26

Which of the following is a supervised learning task?

Question: 27

What are the two main types of supervised learning problems?

Question: 28

What is the main goal of supervised learning?

Question: 29

In supervised learning, what is a label?

Question: 30

What is overfitting in supervised learning?