Machine Learning MCQs with answers Page - 18

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Q. Which of the following method is used to find the optimal features for cluster analysis

  • (A) k-means
  • (B) density-based spatial clustering
  • (C) spectral clustering find clusters
  • (D) all above
💬 Discuss
✅ Correct Answer: (D) all above

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Perceptron Classifier is

  • (A) unsupervised learning algorithm
  • (B) semi-supervised learning algorithm
  • (C) supervised learning algorithm
  • (D) soft margin classifier
💬 Discuss
✅ Correct Answer: (C) supervised learning algorithm

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. The correlation coefficient for two real-valued attributes is -0.85. What does this value tell you?

  • (A) the attributes are not linearly related.
  • (B) as the value of one attribute increases the value of the second attribute also increases
  • (C) as the value of one attribute decreases the value of the second attribute increases
  • (D) the attributes show a linear relationship
💬 Discuss
✅ Correct Answer: (C) as the value of one attribute decreases the value of the second attribute increases

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. There are also many univariate methods that can be used in order to select the best features according to specific criteria based on . . . . . . . .

  • (A) F-tests and p-values
  • (B) chi-square
  • (C) ANOVA
  • (D) All above
💬 Discuss
✅ Correct Answer: (A) F-tests and p-values

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following is an application of NN (Neural Network)?

  • (A) sales forecasting
  • (B) data validation
  • (C) risk management
  • (D) all of the mentioned
💬 Discuss
✅ Correct Answer: (D) all of the mentioned

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which statement is true about the K-Means algorithm?

  • (A) the output attribute must be cateogrical
  • (B) all attribute values must be categorical
  • (C) all attributes must be numeric
  • (D) attribute values may be either categorical or numeric
💬 Discuss
✅ Correct Answer: (C) all attributes must be numeric

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.

  • (A) The polynomial degree
  • (B) Whether we learn the weights by matrix inversion or gradient descent
  • (C) The use of a constant-term
  • (D) None of these
💬 Discuss
✅ Correct Answer: (A) The polynomial degree

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. How can we best represent 'support' for the following association rule: "If X and Y, then Z".

  • (A) x,y total number of transactions
  • (B) z total number of transactions
  • (C) z x,y
  • (D) x,y,z total number of transactions
💬 Discuss
✅ Correct Answer: (C) z x,y

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. With Bayes theorem the probability of hypothesis(H) specified by P(H) is referred to as

  • (A) a conditional probability
  • (B) an a priori probability
  • (C) a bidirectional probability
  • (D) a posterior probability
💬 Discuss
✅ Correct Answer: (B) an a priori probability

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. We have been given a dataset with n records in which we have input attribute as x and output attribute as y. Suppose we use a linear regression method to model this data. To test our linear regressor, we split the data in training set and test set randomly. Now we increase the training set size gradually. As the training set size increases, what do you expect will happen with the mean training error?

  • (A) increase
  • (B) decrease
  • (C) remain constant
  • (D) can't say
💬 Discuss
✅ Correct Answer: (D) can't say

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

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