When constructing the argument for a bagging tree strategy, the varImpPlot function displays feature importance graphically. For this we set the type argument to either equal 1 or 2. If type = 2, then what does this command?
A) to show the average decrease in the predictive variable mean in a percentage form
B) that R will use the average decrease in the Gini impurity index to compare the feature importance
C) to show the feature importance as the average decrease in overall accuracy
D) that R will use the average increase in the Gini impurity index to compare future importance

Question

Quizplus · Accepted Answer

The `varImpPlot` function with `type = 2` uses the average decrease in the Gini impurity index to compare the feature importance. This is a common method for measuring how each feature contributes to the homogeneity of the nodes and leaves in the decision trees within the ensemble.

When Constructing the Argument for a Bagging Tree Strategy, the VarImpPlot