Advanced Database Management System - Tutorials and Notes: Machine Learning Multiple Choice Questions and Answers 19

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Wednesday, 14 October 2020

Machine Learning Multiple Choice Questions and Answers 19

Top 5 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, cross-validation, conditional probability, credit card fraud detection


Machine learning MCQ - Set 19

1. Which of the following cross validation versions may not be suitable for very large datasets with hundreds of thousands of samples?

a) k-fold cross-validation

b) Leave-one-out cross-validation

c) Holdout method

d) All of the above

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2. Assume that A and B are two events. If P(A, B) increases while P(A) decreases, then which of the following must be true?

a) P(A|B) decreases.

b) P(B|A) increases.

c) P(B) decreases.

d) P(A|B) increases.

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3. Which of the following cross validation versions is suitable quicker cross-validation for very large datasets with hundreds of thousands of samples?

a) k-fold cross-validation

b) Leave-one-out cross-validation

c) Holdout method

d) All of the above

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4. Which of the following is a disadvantage of k-fold cross-validation method?

a) The variance of the resulting estimate is reduced as k is increased.

b) This usually does not take longer time to compute

c) Reduced bias

d) The training algorithm has to rerun from scratch k times

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5. Consider that you are analyzing a large collection of fraudulent credit card transactions to discover if there are sub-types of these transactions. Which of the following learning methods best describes the given learning problem?

a) Reinforcement Learning

b) Supervised Learning

c) Unsupervised Learning

d) Semi-supervised learning

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Related links:

What are the applications of unsupervised learning

What type of learning is the credit card fraud detection

What are the disadvantages of k-fold cross-validation

Why the leave-one-out cross-validation (loocv) is not best suited for very large databases

Explain cross-validation

List the different cross validation methods

Which cross validation methods does not consume longer times to complete. Fastest cross-validation method.

Discuss the steps of k-fold cross-validation 

Why k-fold cross-validation takes more time than holdout method

 

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