05th
Jul
Machine Learning MCQ

Machine Learning MCQ

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  • 05th Jul, 2021
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Machine Learning MCQ with Answers

Following are mostly asked Machine learning MCQ test that are designed for professionals like you to crack you interviews. You can take this Machine learning online test before appearing to you real interview. This Machine learning quiz there are around 30+ multiple choice questions on Machine learning with four options.

1) Common classes of problems in machine learning is

  • A. Regression
  • B. Clustering
  • C. Classification
  • D. All of the Above

2) What is Machine learning?

  • A. The selective acquisition of knowledge through the use of manual programs
  • B. The selective acquisition of knowledge through the use of computer programs
  • C. The autonomous acquisition of knowledge through the use of computer programs
  • D. None of the above

3) the most widely used metrics and tools to assess a classification model are

  • A. Confusion matrix
  • B. Cost-sensitive accuracy
  • C. Area under the ROC curve
  • D. All of the Above

4) how do you handle missing or corrupted data in a dataset?

  • A. Drop missing rows or columns
  • B. Assign a unique category to missing values
  • C. Replace missing values with mean/median/mode
  • D. All of the Above

5) machine learning algorithms build a model based on sample data known as

  • A. Transfer Data
  • B. Training Data
  • C. Data Training
  • D. All of the Above
Download Free : Machine Learning MCQ PDF

6) Which one in the following is not Machine Learning disciplines?

  • A. Physics
  • B. Neurostatistics
  • C. Information Theory
  • D. Optimization + Control

7) ............. is a machine learning technique that helps in detecting the outliers in data.

  • A. Clustering
  • B. Classification
  • C. Anamoly Detection
  • D. None of the above

8) Machine Learning is a field of AI consisting of learning algorithms that

  • A. Executing some task
  • B. Over time with experience
  • C. Improve their performance
  • D. All of the Above

9) Application of Machine learning is

  • A. email filtering
  • B. face recognition
  • C. sentimental analysis
  • D. All of the Above

10) which of the following is not numerical functions in the various function representation of machine learning?

  • A. Case-based
  • B. Neural Network
  • C. Linear Regression
  • D. Support Vector Machines

11) Machine Learning has various function representation, which of the following is not function of symbolic?

  • A. Decision Trees
  • B. Rules in propotional Logic
  • C. Hidden-Markov Models (HMM)
  • D. Rules in first-order predicate logic

12) The machine learning algorithms that can be used with unlabeled data is ...........

  • A. Regression algorithms
  • B. Instance-based algorithms
  • C. Clustering algorithms
  • D. All of the Above

13) Which among the following algorithms are used in Machine learning?

  • A. Naive Bayes
  • B. K-Nearest Neighbors
  • C. Support Vector Machines
  • D. All of the Above

14) The supervised learning problem can be grouped as

  • A. Regression problems
  • B. Classification problems
  • C. Both A & B
  • D. None of the above

15) What is true about Machine Learning?

  • A. Machine Learning (ML) is that field of computer science
  • B. ML is a type of artificial intelligence
  • C. ML is a field of AI consisting of learning algorithms
  • D. All of the Above

16) The instance-based learner is a

  • A. Eager learner
  • B. Lazy-learner
  • C. Both A & B
  • D. None of the Above

17) The Candidate-Elimination Algorithm represents the ............

  • A. Version Space
  • B. Solution Space
  • C. Elimination Space
  • D. All of the Above

18) Which of the following is a disadvantage of decision tree?

  • A. Factor analysis
  • B. Decision trees are robust to outliers
  • C. Decision trees are prone to be over fit
  • D. None of the above

19) What are practical difficulties with Bayesian Learning?

  • A. No consistent hypothesis
  • B. Hypotheses make probabilistic predictions
  • C. Initial knowledge of many probabilities is required
  • D. All of the Above

20) Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

  • A. Regression
  • B. Decision Tree
  • C. Classification
  • D. Random Forest

21) In Machine learning the module that must solve the given performance task is known as

  • A. Critic
  • B. Generalizer
  • C. Performance system
  • D. None of the above

22) For the analysis of ML algorithms, we need

  • A. Statistical learning theory
  • B. Computational learning theory
  • C. Both A & B
  • D. None of the above

23) Neural Networks are complex ............... functions with many parameter.

  • A. Linear
  • B. Discreate
  • C. Non linear
  • D. Exponential

24) Which of the following are the decision tree nodes?

  • A. End Nodes
  • B. Decision Nodes
  • C. Chance Nodes
  • D. All of the Above

25) Genetic algorithms belong to the family of methods in the

  • A. optimization
  • B. artificial intelligence area
  • C. complete enumeration family of methods
  • D. Non-computer based (human) solutions area

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