#### 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

#### Q58: What is the link between the degree of significance and the level of confidence?

- (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

## Answers:

Question | Q51 | Q52 | Q53 | Q54 | Q55 | Q56 | Q57 | Q58 | Q59 | Q60 |

Answer | C | A | C | B | A | B, C | B, D | D | F | A |