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.

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

Explore more Topics under Data Science

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Data Science Basics

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Data Analysis with Python

03

Data Manipulation

04

Data Analysis and Research

05

Statistical Inference and Regression Models

06

Developing Data Products

Q31.

Which of the following is the valid component of the predictor?

data

question

algorithm

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q32.

Point out the wrong statement.

In Sample Error is also called generalization error

Out of Sample Error is the error rate you get on the new dataset

In Sample Error is also called resubstitution error

All of the mentioned

Discuss

Answer: (a).In Sample Error is also called generalization error

Q33.

Which of the following is correct order of working?

questions->input data ->algorithms

questions->evaluation ->algorithms

evaluation->input data ->algorithms

all of the mentioned

Discuss

Answer: (a).questions->input data ->algorithms

Q34.

Which of the following shows correct relative order of importance?

question->features->data->algorithms

question->data->features->algorithms

algorithms->data->features->question

none of the mentioned

Discuss

Answer: (b).question->data->features->algorithms

Q35.

Point out the correct statement.

In Sample Error is the error rate you get on the same dataset used to model a predictor

Data have two parts-signal and noise

The goal of predictor is to find signal

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q36.

Which of the following is characteristic of best machine learning method?

Fast

Accuracy

Scalable

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q37.

True positive means correctly rejected.

True

False

May be True or False

Can't say

Discuss

Answer: (b).False

Q38.

Which of the following trade-off occurs during prediction?

Speed vs Accuracy

Simplicity vs Accuracy

Scalability vs Accuracy

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q39.

Which of the following expression is true?

In sample error < out sample error

In sample error > out sample error

In sample error = out sample error

All of the mentioned

Discuss

Answer: (a).In sample error < out sample error

Q40.

Backtesting is a key component of effective trading-system development.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Page 4 of 7

Welcome to the Machine Learning MCQs Page

Machine Learning MCQs | Page 4 of 7

Explore more Topics under Data Science

Data Science Basics

Data Analysis with Python

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Developing Data Products

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