Saturday, November 21, 2020

Machine Learning Multiple Choice Questions and Answers 22

Top 3 Machine Learning Quiz Questions with Answers explanation, Interview questions on machine learning, quiz questions for data scientist answers explained, machine learning exam questions, question bank in machine learning, classification, decision tree, two class classification, bayes net


Machine learning MCQ - Set 22

 

1. Which of the following classifiers can perfectly classify the following data?

Classification data

a) Decision tree

b) Logistic regression

c) Gaussian Naïve Bayes

d) All of the above

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2. Which is the correct joint distribution for the following Bayesian net?

Bayes Net

a) P(A,B,C,D,E) = P(E)P(C)P(D|E)P(A|C)P(B|D,E)

b) P(A,B,C,D,E) = P(A)P(B)P(C|A)P(D|A,B,C)P(E|D)

c) P(A,B,C,D,E) = P(A)P(B)P(C)P(D)P(E)P(E|A,B,C,D)

d) P(A,B,C,D,E) = P(A)P(B)P(D|A,B,C)P(E|D)

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3. For a two class classification problem, which among the following are true?

a) In case both the covariance matrices are spherical and equal, the within class variance term has an effect on the LDA derived direction.

b) In case both the covariance matrices are spherical and equal, the within class variance term has no effect on the LDA derived direction.

c) In case both the covariance matrices are spherical but unequal, the within class variance term has an effect on the LDA derived direction.

d) In case both the covariance matrices are spherical but unequal, the within class variance term has no effect on the LDA derived direction.

Click here to view answer


 

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Related links:

Which classification algorithm can perfectly classify the given data

Define two class classification

What is the effect of 'within class variance' on LDA derived direction if both the covariance matrices are spherical

How to calculate the joint distribution of a bayes network 

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