Questions and answers for exam Preparation

MCQs

Total Questions : 10

Question 1. Which of the following can be used to create sub“samples using a maximum dissimilarity approach ?

Discuss Question

Answer: Option B. -> maxDissim

Splitting is based on the predictors.

Question 2. Which of the following can be used to impute data sets based only on information in the training set. ?

Discuss Question

Answer: Option B. -> preProcess

This can be done with K-nearest neighbors.

Question 3. Which of the following model model include a backwards elimination feature selection routine?

Discuss Question

Answer: Option B. -> MARS

MARS stands for Multivariate Adaptive Regression Splines.

Question 4. Which of the following is a categorical outcome?

Discuss Question

Answer: Option C. -> Accuracy

RMSE stands for Root Mean Squared Error.

Question 5. Which of the following function provides unsupervised prediction ?

Discuss Question

Answer: Option D. -> None of the Mentioned

cl_predict function is clue package provides unsupervised prediction.

Question 6. Which of the following library is used for boosting generalized additive models ?

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Answer: Option A. -> gamBoost

Boosting can be used with any subset of classifier.

Question 7. Point out the correct statement:

Asymptotics are used for inference usually
caret includes several functions to pre-process the predictor data
The function dummyVars can be used to generate a complete set of dummy variables from one or more factors
All of the Mentioned

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Answer: Option D. -> All of the Mentioned

The function dummyVars takes a formula and a data set and outputs an object that can be used to create the dummy variables using the predict method.

Question 8. Point out the correct statement:

findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies
findLinearCombos will return a list that enumerates dependencies
The function findLinearRows can be used to generate a complete set of row variables from one factor
None of the Mentioned

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Answer: Option B. -> findLinearCombos will return a list that enumerates dependencies

For each linear combination, it will incrementally remove columns from the matrix and test to see if the dependencies have been resolved.

Question 9. 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 Question

Answer: Option A. -> The difference between the class centroids and the overall centroid is used to measure the variable influence

The larger the difference between the class centroid and the overall center of the data, the larger the separation between the classes.

Question 10. Which of the following is characteristic of best machine learning method ?