Data Science Questions and Answers – caret – 2

This set of Data Science MCQs focuses on “Caret – 2”.

1. Which of the following function is a wrapper for different lattice plots to visualize the data?
a) levelplot
b) featurePlot
c) plotsample
d) none of the mentioned
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2. Point out the wrong statement.
a) In every situation, the data generating mechanism can create predictors that only have a single unique value
b) Predictors might have only a handful of unique values that occur with very low frequencies
c) The function findLinearCombos uses the QR decomposition of a matrix to enumerate sets of linear combinations
d) All of the mentioned
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3. Which of the following function can be used to identify near zero-variance variables?
a) zeroVar
b) nearVar
c) nearZeroVar
d) all of the mentioned
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4. Which of the following function can be used to flag predictors for removal?
a) searchCorrelation
b) findCausation
c) findCorrelation
d) none of the mentioned
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5. Point out the correct statement.
a) findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies
b) findLinearCombos will return a list that enumerates dependencies
c) the function findLinearRows can be used to generate a complete set of row variables from one factor
d) none of the mentioned
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6. Which of the following can be used to impute data sets based only on information in the training set?
a) postProcess
b) preProcess
c) process
d) all of the mentioned
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7. The function preProcess estimates the required parameters for each operation.
a) True
b) False
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8. Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?
a) ICA
b) SCA
c) PCA
d) None of the mentioned
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9. Which of the following function is used to generate the class distances?
a) preprocess.classDist
b) predict.classDist
c) predict.classDistance
d) all of the mentioned
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10. The preProcess class can be used for many operations on predictors.
a) True
b) False
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