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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 4 of 7

Q31.
Which of the following is the valid component of the predictor?
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (a).In Sample Error is also called generalization error
Discuss
Answer: (a).questions->input data ->algorithms
Discuss
Answer: (b).question->data->features->algorithms
Discuss
Answer: (d).None of the mentioned
Q36.
Which of the following is characteristic of best machine learning method?
Discuss
Answer: (d).All of the mentioned
Q37.
True positive means correctly rejected.
Discuss
Answer: (b).False
Q38.
Which of the following trade-off occurs during prediction?
Discuss
Answer: (d).None of the mentioned
Discuss
Answer: (a).In sample error < out sample error
Q40.
Backtesting is a key component of effective trading-system development.
Discuss
Answer: (a).True
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