Machine Learning: MCQs Set – 06

Machine Learning: MCQs Set – 06

Q51: Which is a measure of the estimated regression equation’s quality of fit?

  • (A) multiple coefficient of determination
  • (B) mean square due to error
  • (C) mean square due to regression
  • (D) none of the above

Q52: Time complexity of K-fold cross-validation is

  • (A) linear in K
  • (B) quadratic in K
  • (C) cubic in K
  • (D) exponential in K

Q53: The multiple coefficient of determination is calculated as follows:

  • (A) dividing SSR by SST
  • (B) dividing SST by SSR
  • (C) dividing SST by SSE
  • (D) none of the above

Q54: With Bayes classifier, missing data items are

  • (A) treated as equal compares
  • (B) treated as unequal compares
  • (C) replaced with a default value
  • (D) ignored.

Q55: In ensemble learning, predictions for weak learners are aggregated so that an ensemble of these models predicts better than individual models. Which of the following assertions is/are correct for weak learners in an ensemble model? (1). They don’t often overfit. (2). Because they have a large bias, they are unable to tackle complicated learning tasks. (3). They are frequently overfit.

  • (A) 1 and 2
  • (B) 1 and 3
  • (C) 2 and 3
  • (D) None of the above

Q56: Consider the problem of binary classification. Assume I trained a model on a linearly separable training set, and now I have a new labeled data point that the model properly categorized and is far away from the decision border. In which instances is the learnt decision boundary likely to change if I now add this additional point to my previous training set and re-train?

  • (a) When my model is a perceptron.
  • (b) When my model is logistic regression.
  • (c) When my model is an SVM.
  • (d) When my model is Gaussian discriminant analysis.

Q57: Which of the following are true about subset selection?

  • (A) Subset selection can substantially decrease the bias of support vector machines
  • (B) Subset selection can reduce overfitting
  • (C) Ridge regression frequently eliminates some of the features
  • (D) Finding the true best subset takes exponential time
  • (A) Significance level = Confidence level
  • (B) Significance level = 1- Confidence level
  • (C) Significance level = 1/Confidence level
  • (D) None of the above

Q59: Which of the following options cannot be the probability of any event? (A). -0.00001 (B). 0.5 (C). 1.001

  • (A) Only A
  • (B) Only B
  • (C) Only C
  • (D) A and B
  • (E) B and C
  • (F) A and C

Q60: Which of the following events is most likely?

  • (A) At least one 6, when 6 dice are rolled
  • (B) At least 2 sixes when 12 dice are rolled
  • (C) At least 3 sixes when 18 dice are rolled
  • (D) All the above have same probability