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 3 of 7

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Developing Data Products

Q21.

varImp is a wrapper around the evimp function in the _______ package.

numpy

earth

plot

none of the mentioned

Discuss

Answer: (b).earth

Q22.

Point out the wrong statement.

The trapezoidal rule is used to compute the area under the ROC curve

For regression, the relationship between each predictor and the outcome is evaluated

An argument, para, is used to pick the model fitting technique

All of the mentioned

Discuss

Answer: (c).An argument, para, is used to pick the model fitting technique

Q23.

Which of the following curve analysis is conducted on each predictor for classification?

NOC

ROC

COC

All of the mentioned

Discuss

Answer: (b).ROC

Q24.

Which of the following function tracks the changes in model statistics?

varImp

varImpTrack

findTrack

none of the mentioned

Discuss

Answer: (a).varImp

Q25.

Point out the correct statement.

The difference between the class centroids and the overall centroid is used to measure the variable influence

The Bagged Trees output contains variable usage statistics

Boosted Trees uses different approach as a single tree

None of the mentioned

Discuss

Answer: (a).The difference between the class centroids and the overall centroid is used to measure the variable influence

Q26.

Which of the following model model include a backwards elimination feature selection routine?

MCV

MARS

MCRS

All of the mentioned

Discuss

Answer: (b).MARS

Q27.

The advantage of using a model-based approach is that is more closely tied to the model performance.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q28.

Which of the following model sums the importance over each boosting iteration?

Boosted trees

Bagged trees

Partial least squares

None of the mentioned

Discuss

Answer: (a).Boosted trees

Q29.

Which of the following argument is used to set importance values?

scale

set

value

all of the mentioned

Discuss

Answer: (a).scale

Q30.

For most classification models, each predictor will have a separate variable importance for each class.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Page 3 of 7

Welcome to the Machine Learning MCQs Page

Machine Learning MCQs | Page 3 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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