Machine Learning MCQs with answers Page - 31

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Q. The network that involves backward links from output to the input and hidden layers is called

  • (A) self organizing maps
  • (B) perceptrons
  • (C) recurrent neural network
  • (D) multi layered perceptron
💬 Discuss
✅ Correct Answer: (C) recurrent neural network

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Which of the following is true about averaging ensemble?

  • (A) it can only be used in classification problem
  • (B) it can only be used in regression problem
  • (C) it can be used in both classification as well as regression
  • (D) none of these
💬 Discuss
✅ Correct Answer: (C) it can be used in both classification as well as regression

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms?
1. Max number of samples
2. Max features
3. Bootstrapping of samples
4. Bootstrapping of features

  • (A) 1 and 3
  • (B) 2 and 3
  • (C) 1 and 2
  • (D) all of above
💬 Discuss
✅ Correct Answer: (D) all of above

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Which one of the following is not a major strength of the neural network approach?

  • (A) neural network learning algorithms are guaranteed to converge to an optimal solution
  • (B) neural networks work well with datasets containing noisy data
  • (C) neural networks can be used for both supervised learning and unsupervised clustering
  • (D) neural networks can be used for applications that require a time element to be included in the data
💬 Discuss
✅ Correct Answer: (A) neural network learning algorithms are guaranteed to converge to an optimal solution

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Given above is a description of a neural network. When does a neural network model become a deep learning model?

  • (A) when you add more hidden layers and increase depth of neural network
  • (B) when there is higher dimensionality of data
  • (C) when the problem is an image recognition problem
  • (D) when there is lower dimensionality of data
💬 Discuss
✅ Correct Answer: (A) when you add more hidden layers and increase depth of neural network

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Which of the following metrics, do we have for finding dissimilarity between two clusters in hierarchical clustering?
1. Single-link
2. Complete-link
3. Average-link

  • (A) 1 and 2
  • (B) 1 and 3
  • (C) 2 and 3
  • (D) 1, 2 and 3
💬 Discuss
✅ Correct Answer: (D) 1, 2 and 3

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. which among the following is the most appropriate kernel that can be used with SVM to separate the classes.

  • (A) linear kernel
  • (B) gaussian rbf kernel
  • (C) polynomial kernel
  • (D) option 1 and option 3
💬 Discuss
✅ Correct Answer: (B) gaussian rbf kernel

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. Having built a decision tree, we are using reduced error pruning to reduce the size of the tree. We select a node to collapse. For this particular node, on the left branch, there are 3 training data points with the following outputs: 5, 7, 9.6 and for the right branch, there are four training data points with the following outputs: 8.7, 9.8, 10.5, 11. What were the original responses for data points along the two branches (left & right respectively) and what is the new response after collapsing the node?

  • (A) 10.8, 13.33, 14.48
  • (B) 10.8, 13.33, 12.06
  • (C) 7.2, 10, 8.8
  • (D) 7.2, 10, 8.6
💬 Discuss
✅ Correct Answer: (C) 7.2, 10, 8.8

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. The selling price of a house depends on many factors. For example, it depends on the number of bedrooms, number of kitchen, number of bathrooms, the year the house was built, and the square footage of the lot. Given these factors, predicting the selling price of the house is an example of . . . . . . . . task.

  • (A) binary classification
  • (B) multilabel classification
  • (C) simple linear regression
  • (D) multiple linear regression
💬 Discuss
✅ Correct Answer: (D) multiple linear regression

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. A measure of goodness of fit for the estimated regression equation is the

  • (A) multiple coefficient of determination
  • (B) mean square due to error
  • (C) mean square due to regression
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (C) mean square due to regression

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

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