Data Science

caret

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following model model include a backwards elimination feature selection routine?
MCV
MARS
MCRS
All of the mentioned
Explanation:
MARS stands for Multivariate Adaptive Regression Splines.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to identify near zero-variance variables?
zeroVar
nearVar
nearZeroVar
all of the mentioned
Explanation:
The saveMetrics argument can be used to show the details and usually defaults to FALSE.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
The advantage of using a model-based approach is that is more closely tied to the model performance.
True
False
Explanation:
Model-based approach is able to incorporate the correlation structure between the predictors into the importance calculation.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can create the indices for time series type of splitting?
newTimeSlices
createTimeSlices
binTimeSlices
none of the mentioned
Explanation:
Rolling forecasting origin techniques are associated with time series type of splitting.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to create balanced splits of the data?
newDataPartition
createDataPartition
renameDataPartition
none of the mentioned
Explanation:
If the y argument to this function is a factor, the random sampling occurs within each class and should preserve the overall class distribution of the data.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following curve analysis is conducted on each predictor for classification?
NOC
ROC
COC
All of the mentioned
Explanation:
For two class problems, a series of cutoffs is applied to the predictor data to predict the class.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
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
Explanation:
For each linear combination, it will incrementally remove columns from the matrix and test to see if the dependencies have been resolved.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function tracks the changes in model statistics?
varImp
varImpTrack
findTrack
none of the mentioned
Explanation:
GCV change value can also be tracked.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
The function preProcess estimates the required parameters for each operation.
True
False
Explanation:
predict.preProcess is used to apply them to specific data sets.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to generate balanced cross–validation groupings from a set of data?
createFolds
createSample
createResample
none of the mentioned
Explanation:
createResample can be used to make simple bootstrap samples.