Machine Learning MCQ with Answers 2021 (updated)

Machine Learning MCQ Questions, that checks your basic knowledge of Machine Learning. This Machine Learning MCQ Test contains 20 multiple-choice questions. You have to select the right answer to every question to check your final preparation completely free.

 Machine Learning MCQ Quiz & Online Test to Test your Knowledge

1. What is machine learning?

1.  The selective acquisition of knowledge through the use of manual programs
2.  The selective acquisition of knowledge through the use of computer programs
3.  The autonomous acquisition of knowledge through the use of manual programs
4.  The autonomous acquisition of knowledge through the use of computer programs

View Answer: The autonomous acquisition of knowledge through the use of computer programs

2. Machine Learning is a field of AI consisting of learning algorithms that …………..

•  At executing some task
•  Over time with experience
•  Improve their performance
•  All of the above

 View Answer: All of the above

3. ………….. is a widely used and effective machine learning algorithm based on the idea of bagging.

•  Regression
•  Classification
•  Decision Tree
•  Random Forest

 View Answer: Random Forest

4. What is the disadvantage of decision trees?

•  Factor analysis
•  Decision trees are robust to outliers
•  Decision trees are prone to be overfit
•  All of the above

 View Answer: Decision trees are prone to be overfit

5. …………….. is a widely used and effective machine learning algorithm based on the idea of bagging.

•  Regression
•  Classification
•  Random Forest
•  Decision Tree

 View Answer: Random Forest

6. How can you handle missing or corrupted data in a dataset?

•  Drop missing rows or columns
•  Assign a unique category to missing values
•  Replace missing values with mean/median/mode
•  All of the above

 View Answer: All of the above

7. Which of the followings are most widely used metrics and tools to assess a classification model?

•  Confusion matrix
•  Cost-sensitive accuracy
•  Area under the ROC curve
•  All of the above

 View Answer: All of the above

8. Machine learning algorithms build a model based on sample data, known as ……..

•  Training Data
•  Transfer Data
•  Data Training
•  None of the above

 View Answer:Training Data

9. Machine learning is a subset of …………….

•  Deep Learning
•  Artificial Intelligence
•  Data Learining
•  None of the above

 View Answer: Artificial Intelligence

10. A Machine Learning technique that helps in detecting the outliers in data.

•  Clustering
•  Classification
•  Anamoly Detection
•  All of the above

View Answer: Anamoly Detection

11. Who is the father of Machine Learning?

•  Geoffrey Hill
•  Geoffrey Chaucer
•  Geoffrey Everest Hinton
•  None of the above

 View Answer: Geoffrey Everest Hinton

12. What is the most significant phase in a genetic algorithm?

•  Selection
•  Mutation
•  Crossover
•  Fitness function

 View Answer: Crossover

13. Which one in the following is not Machine Learning disciplines?

•  Physics
•  Information Theory
•  Neurostatistics
•  Optimization Control

 View Answer: Neurostatistics

14. Machine Learning has various function representation, which of the following is not function of symbolic?

•  Decision Trees
•  Rules in propotional Logic
•  Rules in first-order predicate logic
•  Hidden-Markov Models (HMM)

 View Answer: Hidden-Markov Models (HMM)

15. ………………. algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.

•  Deep Learning
•  Machine Learning
•  Artificial Intelligence
•  None of the above

 View Answer: Machine Learning

16. What are the three types of Machine Learning?

•  Supervised Learning
•  Unsupervised Learning
•  Reinforcement Learning
•  All of the above

 View Answer: All of the above

17. Which of the following is not a supervised learning?

•  PCA
•  Naive Bayesian
•  Linear Regression
•  Decision Tree Answer

 View Answer: PCA

18. Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of

•  Reinforcement Learning
•  Supervised Learning: Classification
•  Unsupervised Learning: Regression
•  None of the above

 View Answer: Reinforcement Learning

19. Which of the following is not numerical functions in the various function representation of Machine Learning?

•  Case-based
•  Neural Network
•  Linear Regression
•  Support Vector Machines

 View Answer: Case-based

20. Common classes of problems in machine learning is

•  Clustering
•  Regression
•  Classification
•  All of the above

  Answer: All of the above

Thanks for reading, and enjoy coding ❤.

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