varImp function on rfe results
0
0
Entering edit mode
4.0 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 • 774 views
ADD COMMENT

Login before adding your answer.

Traffic: 1644 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6