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%
caret does not use the proxy package.
True
False
Explanation:
caret uses the proxy package.
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 argument is used to set importance values?
scale
set
value
all of the mentioned
Explanation:
All measures of importance are scaled to have a maximum value of 100.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Simple random sampling of time series is probably the best way to resample times series data.
Three parameters are used for time series splitting
Horizon parameter is the number of consecutive values in test set sample
All of the mentioned
Explanation:
Simple random sampling of time series is probably not the best way to resample times series data.
Question 7
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 8
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 9
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 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to maximize the minimum dissimilarities?
sumDiss
minDiss
avgDiss
all of the mentioned
Explanation:
sumDiss can be used to maximize the total dissimilarities.