#### 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:

Question | Q71 | Q72 | Q73 | Q74 | Q75 | Q76 | Q77 | Q78 | Q79 | Q80 |

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