Home / Programming Questions / Machine Learning MCQs / Page 4

Machine Learning MCQs with answers Page - 4

Dear candidates you will find MCQ questions of Machine Learning here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
Share your questions by clicking Add Question

M

Mr. Dubey • 51.47K Points
Coach

Q. 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) the data is noisy and contains overlapping points
(C) a or b
(D) none of these

M

Mr. Dubey • 51.47K Points
Coach

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

(A) the data is linearly seperable
(B) The relationship is not symmetric between x and y in both.
(C) the data is not noisy and linearly seperable
(D) the data is noisy and linearly seperable

M

Mr. Dubey • 51.47K Points
Coach

Q. 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) when irrelevant attributes have been removed from the data.
(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.

M

Mr. Dubey • 51.47K Points
Coach

Q. A nearest neighbor approach is best used

(A) with large-sized datasets.
(B) 0.26
(C) when a generalized model of the data is desirable.
(D) when an explanation of what has been found is of primary importance.

M

Mr. Dubey • 51.47K Points
Coach

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

(A) 0.5
(B) density-based clustering
(C) 0.73
(D) 0.6

M

Mr. Dubey • 51.47K Points
Coach

Q. 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) to save space for storing the decision tree
(C) model-based clustering
(D) k-means clustering

M

Mr. Dubey • 51.47K Points
Coach

Q. What would you do in PCA to get the same projection as SVD?

(A) transform data to zero mean
(B) transform data to zero median
(C) not possible
(D) none of these

M

Mr. Dubey • 51.47K Points
Coach

Q. The . . . . . . . . of the hyperplane depends upon the number of features.

(A) dimension
(B) classification
(C) reduction
(D) none of the above

Login

Forgot username? click here

Forgot password? Click here

Don't have account? Register here.