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Welcome to the Machine Learning MCQs Page

Dive deep into the fascinating world of Machine Learning with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Machine Learning, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Machine Learning, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Machine Learning. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Machine Learning. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Machine Learning MCQs | Page 5 of 7

Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (c).False positive=correctly identified
Q43.
Which of the following is a common error measure?
Discuss
Answer: (d).All of the mentioned
Q44.
Which of the following is not a machine learning algorithm?
Discuss
Answer: (a).SVG
Discuss
Answer: (d).None of the mentioned
Q46.
Which of the following is a categorical outcome?
Discuss
Answer: (c).Accuracy
Q47.
For k cross-validation, larger k value implies more bias.
Discuss
Answer: (b).False
Q48.
Which of the following method is used for trainControl resampling?
Discuss
Answer: (a).repeatedcv
Q49.
Which of the following can be used to create the most common graph types?
Discuss
Answer: (a).qplot
Q50.
For k cross-validation, smaller k value implies less variance.
Discuss
Answer: (a).True
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Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!