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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.

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Mr. Dubey • 51.43K Points
Coach

Q. 551) Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?

(A) Since the there is a relationship means our model is not good
(B) Since the there is a relationship means our model is good
(C) Can’t say
(D) None of these
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M

Mr. Dubey • 51.43K Points
Coach

Q. 552) SVM can solve linear and non-linear problems

(A) true
(B) false
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 553) The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N — the number of features) that distinctly classifies the data points.

(A) true
(B) false
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 554) Hyperplanes are _____________boundaries that help classify the data points. 

(A) usual
(B) decision
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 555) The _____of the hyperplane depends upon the number of features.

(A) dimension
(B) classification
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 556) SVM algorithms use a set of mathematical functions that are defined as the kernel.

(A) true
(B) false
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 557) What is the purpose of performing cross-validation?

(A) To assess the predictive performance of the models
(B) To judge how the trained model performs outside the sample on test data
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
Coach

Q. 558) ______can be adopted when it's necessary to categorize a large amount of data with a few complete examples or when there's the need to impose some constraints to a clustering algorithm.

(A) Supervised
(B) Semi-supervised
(C) Reinforcement
(D) Clusters
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Mr. Dubey • 51.43K Points
Coach

Q. 559) In reinforcement learning, this feedback is usually called as___.

(A) Overfitting
(B) Overlearning
(C) Reward
(D) None of above
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Mr. Dubey • 51.43K Points
Coach

Q. 560) In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called_____.

(A) Deep learning
(B) Machine learning
(C) Reinforcement learning
(D) Unsupervised learning
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