Machine Learning: MCQs Set – 08

Q71: What is the name of a regression model in which more than one independent variable is utilized to predict the dependent variable?

  • (A) a simple linear regression model
  • (B) a multiple regression models
  • (C) an independent model
  • (D) none of the above

Q72: Logistic regression is a ……….. regression technique that is used to model data having a ……….. outcome.

  • (A) linear, numeric
  • (B) linear, binary
  • (C) nonlinear, numeric
  • (D) nonlinear, binary

Q73: The standard error is defined as the square root of this computation.

  • (A) The sample variance divided by the total number of sample instances
  • (B) The population variance divided by the total number of sample instances
  • (C) The sample variance divided by the sample mean
  • (D) The population variance divided by the sample mean

Q74: What is Machine learning?

  • (A) The autonomous acquisition of knowledge through the use of computer programs
  • (B) The autonomous acquisition of knowledge through the use of manual programs
  • (C) The selective acquisition of knowledge through the use of computer programs
  • (D) The selective acquisition of knowledge through the use of manual programs

Q75: Which of the following K values will result in the lowest leave-one-out cross validation accuracy?

  • (A) 1NN
  • (B) 3NN
  • (C) 4NN
  • (D) All have same leave one out error

Q76: On which of the following would Bayesians and frequentists disagree?

  • (A) The use of a non-Gaussian noise model in probabilistic regression.
  • (B) The use of probabilistic modelling for regression.
  • (C) The use of prior distributions on the parameters in a probabilistic model.
  • (D) The idea of assuming a probability distribution over models.

Q77: Which of the following factors can aid in the reduction of overfitting in an SVM classifier?

  • (A) Use of slack variables
  • (B) High-degree polynomial features
  • (C) Normalizing the data
  • (D) Setting a very low learning rate

Q78: What happens when we introduce more variables to a linear regression model?

  • (A) The r squared value may increase or remain constant, the adjusted r squared may increase or decrease
  • (B) The r squared may increase or decrease while the adjusted r squared always increases.
  • (C) Both r square and adjusted r square always increase on the introduction of new variables in the model.
  • (D) Both might increase or decrease depending on the variables introduced.

Q79: A 1-inch-diameter coin is tossed onto a table with a grid of lines spaced two inches apart. What is the probability that the coin will land inside a square without hitting any of the grid’s lines? You can suppose that the person throwing the coin has no talent and is throwing it at random. 

  • (A) 1/2
  • (B) 1/4
  • (C) 0
  • (D) 1/3

Q80: Which of the following are unsupervised problem?

  • (A) Google news
  • (B) Rain predictor
  • (C) Customer segmentation
  • (D) Tumor prediction

Answers:

QuestionQ71Q72Q73Q74Q75Q76Q77Q78Q79Q80
AnswerCDBAAC, DAABA, C

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