Machine Learning MCQs with answers Page - 13

Here, you will find a collection of MCQ questions on Machine Learning. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. The average positive difference between computed and desired outcome values.

  • (A) root mean squared error
  • (B) mean squared error
  • (C) mean absolute error
  • (D) mean positive error

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Q. The most general form of distance is

  • (A) manhattan
  • (B) eucledian
  • (C) mean
  • (D) minkowski

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Q. In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

  • (A) the decision boundry in the transformed feature space in non-linear
  • (B) the decision boundry in the transformed feature space in linear
  • (C) the decision boundry in the original feature space in not considered
  • (D) the decision boundry in the original feature space in linear

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Q. Which of the following is a categorical data?

  • (A) branch of bank
  • (B) expenditure in rupees
  • (C) prize of house
  • (D) weight of a person

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Q. The F-test

  • (A) an omnibus test
  • (B) considers the reduction in error when moving from the complete model to the reduced model
  • (C) considers the reduction in error when moving from the reduced model to the complete model
  • (D) can only be conceptualized as a reduction in error

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Q. Linear Regression is a supervised machine learning algorithm.

  • (A) TRUE
  • (B) Image classification, Real-time visual tracking
  • (C) ---
  • (D) ---

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Q. Which of the following are supervised learning applications

  • (A) Spam detection, Pattern detection, Natural Language Processing
  • (B) is representative of the dataset as a whole
  • (C) Autonomous car driving, Logistic optimization
  • (D) Bioinformatics, Speech recognition

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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

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

  • (A) independent
  • (B) conceptual clustering
  • (C) partial dependent
  • (D) none

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

  • (A) TRUE
  • (B) Vector
  • (C) ---
  • (D) ---

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