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?
- The selective acquisition of knowledge through the use of manual programs
- The selective acquisition of knowledge through the use of computer programs
- The autonomous acquisition of knowledge through the use of manual programs
- 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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