Machine Learning: MCQs Set – 22

Machine Learning: MCQs Set – 22

Q211: How many types are available in machine learning?

  • (A) 1
  • (B) 2
  • (C) 3
  • (D) 4

Q212: Feature selection tries to eliminate features which are

  • (A) Rich
  • (B) Redundant
  • (C) Irrelevant
  • (D) Relevant

Q213: For supervised learning we have ____ model.

  • (A) interactive
  • (B) predictive
  • (C) descriptive
  • (D) prescriptive

Q214: LOOCV in machine learning stands for

  • (A) Love one-out cross validation
  • (B) Leave-one-out cross-validation
  • (C) Leave-object oriented cross-validation
  • (D) Leave-one-out class-validation

Q215: The new features created in PCA are known as

  • (A) Principal components
  • (B) Eigenvectors
  • (C) Secondary components
  • (D) None of the above

Q216: Based on this joint distribution on two events p(A,B), we can define the this distribution as follows: p(A) = p(A,B) = p(A|B = b) p(B = b)

  • (A) Conditional distribution
  • (B) Marginal distribution
  • (C) Bayes distribution
  • (D) Normal distribution

Q217: Naïve Bayes classifier makes the naïve assumption that the attribute values are conditionally dependent given the classification of the instance.

  • (A) True
  • (B) False

Q218: This is the cleaning/transforming the data set in the supervised learning model.

  • (A) Problem Identification
  • (B) Identification of Required Data
  • (C) Data Pre-processing
  • (D) Definition of Training Data Set

Q219: Which of the following is true about SVM?

  • (A) It is useful only in high-dimensional spaces
  • (B) It always gives an approximate value
  • (C) It is accurate
  • (D) Understanding SVM is difficult

Q220: Which of the following will be Manhattan distance between the two data points A(8,3) and B(4,3)?

  • (A) 1
  • (B) 2
  • (C) 4
  • (D) 8