Data Science

caret

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?
ICA
SCA
PCA
None of the mentioned
Explanation:
ICA stands for independent component analysis.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following package tools are present in caret?
pre-processing
feature selection
model tuning
all of the mentioned
Explanation:
There are many different modeling functions in R.
Question 3
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 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%
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 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to create sub–samples using a maximum dissimilarity approach?
minDissim
maxDissim
inmaxDissim
all of the mentioned
Explanation:
Splitting is based on the predictors.
Question 7
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 8
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 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to flag predictors for removal?
searchCorrelation
findCausation
findCorrelation
none of the mentioned
Explanation:
Some models thrive on correlated predictors.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
caret does not use the proxy package.
True
False
Explanation:
caret uses the proxy package.