What is true of SVM in relation to understanding the relative importance of predictor variables?
A) SVM is a "black box" methodology which hides the relative roles of predictor variables.
B) Listing of variables by importance is a menu choice in RStudio.
C) Variable importance may be assessed through a leave-one-out method in which one predictor at a time is dropped from the model.
D) As with OLS regression, beta weights indicate relative predictive importance in SVM

Question

Quizplus · Accepted Answer

Variable importance may be assessed through a leave-one-out method in which one predictor at a time is dropped from the model.

What Is True of SVM in Relation to Understanding the Relative