varImp function on rfe results
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3.5 years ago

Hello everyone, I've performed a feature selection analysis using rfe function from caret package, on a Linearsvm model. When I end the analysis (getting for example the rfe object "result") , the result$optVariables gives me the most important features retained, but I red that VarImp function would be more adeguate for this purpose; I've tried this and the result is even a longer vector that the one that I could obtain with result$optVariables. I'm novice in feature selection and I can't understand the difference between these two approaches. How can I get a vector with all the features sorted by importance in this case? Thank you

rfe feature selection machine learning R • 711 views
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