Machine Learning: MCQs Set – 23

Machine Learning: MCQs Set – 23

by codecrucks · Published 12/09/2021 · Updated 26/03/2023

Q221: The k-means algorithm is a

(A) Supervised learning algorithm
(B) Unsupervised learning algorithm
(C) Semi-supervised learning algorithm
(D) Weakly supervised learning algorithm

Q222: When the number of features increase

(A) Computation time increases
(B) Model becomes complex
(C) Learning accuracy decreases
(D) All of the above

Q223: For unsupervised learning we have ____ model.

(A) interactive
(B) predictive
(C) descriptive
(D) prescriptive

Q224: Engineering a good feature space is a crucial ___ for the success of any machine learning model.

(A) Pre-requisite
(B) Process
(C) Objective
(D) None of the above

Q225: In LDA, intra-class and inter-class ___ matrices are calculated.

(A) Scatter
(B) Adjacency
(C) Similarity
(D) None of the above

Q226: We can define this probability as p(A|B) = p(A,B)/p(B) if p(B) > 0

(A) Conditional probability
(B) Marginal probability
(C) Bayes probability
(D) Normal probability

Q227: Predicting whether a tumour is malignant or benign is an example of?

(A) Unsupervised Learning
(B) Supervised Regression Problem
(C) Supervised Classification Problem
(D) Categorical Attribute

Q228: This refers to the transformations applied to the identified data before feeding the same into the algorithm.

(A) Problem Identification
(B) Identification of Required Data
(C) Data Pre-processing
(D) Definition of Training Data Set

Q229: Which of the following is true about SVM?

(A) It is useful only in high-dimensional spaces
(B) It requires less memory
(C) SVM does not perform well when we have a large data set
(D) SVM performs well when we have a large data set

Q230: When you find many noises in data, which of the following options would you consider in kNN?

(A) Increase the value of k
(B) Decrease the value of k
(C) Noise does not depend on k
(D) k = 0

Answers:

Question	Q211	Q222	Q223	Q224	Q225	Q226	Q227	Q228	Q229	Q230
Answer	B	D	C	A	A	A	C	C	D	A