Machine Learning MCQs with answers Page - 16

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Q. Which of the following is a good test dataset characteristic?

  • (A) large enough to yield meaningful results
  • (B) dependent
  • (C) both A and B
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (C) both A and B

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Features being classified is . . . . . . . . of each other in Nave Bayes Classifier

  • (A) independent
  • (B) conceptual clustering
  • (C) partial dependent
  • (D) none
💬 Discuss
✅ Correct Answer: (A) independent

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. The gini index is not biased towards multivalued attributed.

  • (A) TRUE
  • (B) Vector
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (B) Vector

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Can we calculate the skewness of variables based on mean and median?

  • (A) TRUE
  • (B) Test error is non zero
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (B) Test error is non zero

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. It is possible to design a Linear regression algorithm using a neural network?

  • (A) TRUE
  • (B) b and c
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (A) TRUE

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. If Linear regression model perfectly first i.e., train error is zero, then . . . . . . . .

  • (A) Test error is also always zero
  • (B) in blending, you create out of fold prediction
  • (C) Couldn't comment on Test error
  • (D) Test error is equal to Train error
💬 Discuss
✅ Correct Answer: (C) Couldn't comment on Test error

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Increase in size of a convolutional kernel would necessarily increase the performance of a convolutional network.

  • (A) TRUE
  • (B) linear, binary
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (B) linear, binary

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. To control the size of the tree, we need to control the number of regions. One approach to do this would be to split tree nodes only if the resultant decrease in the sum of squares error exceeds some threshold. For the described method, which among the following are true?
a. It would, in general, help restrict the size of the trees
b. It has the potential to affect the performance of the resultant regression/classification model
c. It is computationally infeasible

  • (A) a and b
  • (B) unsupervised learning
  • (C) a and c
  • (D) all of the above
💬 Discuss
✅ Correct Answer: (A) a and b

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following is the difference between stacking and blending?

  • (A) stacking has less stable cv compared to blending
  • (B) backword feature selection
  • (C) stacking is simpler than blending
  • (D) none of these
💬 Discuss
✅ Correct Answer: (D) none of these

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Logistic regression is a . . . . . . . . regression technique that is used to model data having a . . . . . . . . outcome.

  • (A) linear, numeric
  • (B) nonlinear functions
  • (C) nonlinear, numeric
  • (D) nonlinear, binary
💬 Discuss
✅ Correct Answer: (D) nonlinear, binary

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

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