Home / Engineering / Machine Learning (ML) MCQs / Page 54

Machine Learning (ML) MCQs | Page - 54

Dear candidates you will find MCQ questions of Machine Learning (ML) 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.

M

Mr. Dubey • 51.43K Points
Coach

Q. 531) ________is much more difficult because it's necessary to determine a supervised strategy to train a model for each feature and, finally, to predict their value

(A) Removing the whole line
(B) Creating sub-model to predict those features
(C) Using an automatic strategy to input them according to the other known values
(D) All above
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 532) How it's possible to use a different placeholder through the parameter_______.

(A) regression
(B) classification
(C) random_state
(D) missing_values
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 533) SVM is a ------------------ algorithm 

(A) Classification
(B) Clustering
(C) Regression
(D) All
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 534) SVM is a ------------------ learning

(A) Supervised
(B) Unsupervised
(C) Both
(D) None
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 535) The linear SVM classifier works by drawing a straight line between two classes

(A) True
(B) false
(C) ---
(D) ---
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 536) Even if there are no actual supervisors ________ learning is also based on feedback provided by the environment

(A) Supervised
(B) Reinforcement
(C) Unsupervised
(D) None of the above
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 537) When it is necessary to allow the model to develop a generalization ability and avoid a common problem called______.

(A) Overfitting
(B) Overlearning
(C) Classification
(D) Regression
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 538) Techniques involve the usage of both labeled and unlabeled data is called___.

(A) Supervised
(B) Semi-supervised
(C) Unsupervised
(D) None of the above
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 539) A supervised scenario is characterized by the concept of a _____.

(A) Programmer
(B) Teacher
(C) Author
(D) Farmer
View Answer Discuss Share

M

Mr. Dubey • 51.43K Points
Coach

Q. 540) overlearning causes due to an excessive ______.

(A) Capacity
(B) Regression
(C) Reinforcement
(D) Accuracy
View Answer Discuss Share

Explore Sets

Machine Learning (ML) MCQs Set 1

Machine Learning (ML) MCQs Set 2

Machine Learning (ML) MCQs Set 3

Machine Learning (ML) MCQs Set 4

Machine Learning (ML) MCQs Set 5

Machine Learning (ML) MCQs Set 6

Machine Learning (ML) MCQs Set 7

Machine Learning (ML) MCQs Set 8

Machine Learning (ML) MCQs Set 9

Machine Learning (ML) MCQs Set 10

Machine Learning (ML) MCQs Set 11

Machine Learning (ML) MCQs Set 12

Machine Learning (ML) MCQs Set 13

Machine Learning (ML) MCQs Set 14

Machine Learning (ML) MCQs Set 15

Machine Learning (ML) MCQs Set 16

Machine Learning (ML) MCQs Set 17

Machine Learning (ML) MCQs Set 18

Machine Learning (ML) MCQs Set 19

Machine Learning (ML) MCQs Set 20

Machine Learning (ML) MCQs Set 21

Machine Learning (ML) MCQs Set 22

Machine Learning (ML) MCQs Set 23

Machine Learning (ML) MCQs Set 24

Machine Learning (ML) MCQs Set 25

Machine Learning (ML) MCQs Set 26

Machine Learning (ML) MCQs Set 27

Machine Learning (ML) MCQs Set 28

Machine Learning (ML) MCQs Set 29

Machine Learning (ML) MCQs Set 30

Machine Learning (ML) MCQs Set 31

Machine Learning (ML) MCQs Set 32

Machine Learning (ML) MCQs Set 33

Machine Learning (ML) MCQs Set 34

Machine Learning (ML) MCQs Set 35

Machine Learning (ML) MCQs Set 36

Machine Learning (ML) MCQs Set 37

Machine Learning (ML) MCQs Set 38

Machine Learning (ML) MCQs Set 39

Machine Learning (ML) MCQs Set 40

Machine Learning (ML) MCQs Set 41

Machine Learning (ML) MCQs Set 42

Machine Learning (ML) MCQs Set 43

Machine Learning (ML) MCQs Set 44

Machine Learning (ML) MCQs Set 45

Machine Learning (ML) MCQs Set 46

Machine Learning (ML) MCQs Set 47

Machine Learning (ML) MCQs Set 48

Machine Learning (ML) MCQs Set 49

Machine Learning (ML) MCQs Set 50

Machine Learning (ML) MCQs Set 51

Machine Learning (ML) MCQs Set 52

Machine Learning (ML) MCQs Set 53

Machine Learning (ML) MCQs Set 54

Machine Learning (ML) MCQs Set 55

Machine Learning (ML) MCQs Set 56

Machine Learning (ML) MCQs Set 57

Machine Learning (ML) MCQs Set 58

Machine Learning (ML) MCQs Set 59

Machine Learning (ML) MCQs Set 60

Machine Learning (ML) MCQs Set 61

Machine Learning (ML) MCQs Set 62

Machine Learning (ML) MCQs Set 63

Machine Learning (ML) MCQs Set 64

Machine Learning (ML) MCQs Set 65

Machine Learning (ML) MCQs Set 66