Machine Learning Algorithms MCQ Questions and Answers

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Each section contains 100 MCQs on Machine Learning Algorithms .

Which of the following method options is provided by train function for bagging?

A) bagEarth B) treebag C) bagFDA D) all of the mentioned

Discuss

Answer & Solution

Answer: Option D

No explanation is given for this question. Let's Discuss on Board

Which of the following function can be used to create balanced splits of the data?

A) newDataPartition B) createDataPartition C) renameDataPartition D) none of the mentioned

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

caret stands for classification and regression training.

A) True B) False

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

For k cross-validation, larger k value implies more bias.

A) True B) False

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

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

A) True B) False

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

Which of the following expression is true?

A) In sample error < out sample error B) In sample error > out sample error C) In sample error = out sample error D) All of the mentioned

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Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

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

A) MCV B) MARS C) MCRS D) All of the mentioned

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

The function preProcess estimates the required parameters for each operation.

A) True B) False

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

Point out the correct statement.

A) Combining classifiers improves interpretability B) Combining classifiers reduces accuracy C) Combining classifiers improves accuracy D) All of the mentioned

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Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

Which of the following is correct about regularized regression?

A) Can help with bias trade-off B) Cannot help with model selection C) Cannot help with variance trade-off D) All of the mentioned

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

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Machine Learning Algorithms MCQ Questions and Answers | Data Science MCQs