Machine Learning MCQ Questions: Practice and Test Your Knowledge

1

Suppose you are training a linear regression model. Now consider these points.
1. Overfitting is more likely if we have less data
2. Overfitting is more likely when the hypothesis space is small.Which of the above statement(s) are correct?

A) both are false B) 1 is false and 2 is true C) 1 is true and 2 is false D) both are true

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Answer & Solution

Answer: Option C

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2

Gini index does not favour equal sized partitions.

A) TRUE B) FALSE

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Answer & Solution

Answer: Option B

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3

what is the function of 'Unsupervised Learning'?

A) Find clusters of the data and find low-dimensional representations of the data B) Find interesting directions in data and find novel observations/ database cleaning C) Interesting coordinates and correlations D) All

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Answer & Solution

Answer: Option D

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4

In an election, N candidates are competing against each other and people are voting for either of the candidates. Voters don't communicate with each other while casting their votes. Which of the following ensemble method works similar to above-discussed election procedure? Hint: Persons are like base models of ensemble method.

A) bagging B) boosting C) a or b D) none of these

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Answer & Solution

Answer: Option A

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5

The soft margin SVM is more preferred than the hard-margin SVM when-

A) the data is linearly seperable B) the data is noisy and contains overlapping points C) the data is not noisy and linearly seperable D) the data is noisy and linearly seperable

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Answer & Solution

Answer: Option B

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6

Which of the following option is true regarding "Regression" and "Correlation"?
Note: y is dependent variable and x is independent variable.

A) The relationship is symmetric between x and y in both. B) The relationship is not symmetric between x and y in both. C) The relationship is not symmetric between x and y in case of correlation but in case of regression it is symmetric. D) The relationship is symmetric between x and y in case of correlation but in case of regression it is not symmetric.

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Answer & Solution

Answer: Option D

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7

A nearest neighbor approach is best used

A) with large-sized datasets. B) when irrelevant attributes have been removed from the data. C) when a generalized model of the data is desirable. D) when an explanation of what has been found is of primary importance.

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Answer & Solution

Answer: Option B

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8

For the given weather data, what is the probability that players will play if weather is sunny

A) 0.5 B) 0.26 C) 0.73 D) 0.6

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Answer & Solution

Answer: Option D

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9

Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?

A) decision trees B) density-based clustering C) model-based clustering D) k-means clustering

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Answer & Solution

Answer: Option B

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10

Which one of the following is the main reason for pruning a Decision Tree?

A) to save computing time during testing B) to save space for storing the decision tree C) to make the training set error smaller D) to avoid overfitting the training set

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Answer & Solution

Answer: Option D

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