tag:blogger.com,1999:blog-1049047234230352587.post2499604035961432744..comments2024-01-24T21:38:58.138-08:00Comments on Math + Statistics + Python: Analyzing Kaggle sci kit learn data using the r caret packageAnne Dwyerhttp://www.blogger.com/profile/09548346496596196253noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-1049047234230352587.post-12137205835038463522014-11-30T10:55:54.142-08:002014-11-30T10:55:54.142-08:00Thanks for your comment. It is my very first one!
...Thanks for your comment. It is my very first one!<br /><br />This blog post was specifically about using the caret package. The caret package doesn't have an SVM based rfe.<br /><br />I haven't researched this in r. If you can't find anything, you can always use the scikit learn pipeline in Python. Here is the specific website: http://scikit-learn.org/stable/modules/feature_selection.htmlAnne Dwyerhttps://www.blogger.com/profile/09548346496596196253noreply@blogger.comtag:blogger.com,1999:blog-1049047234230352587.post-31194484290648538482014-11-28T06:43:29.348-08:002014-11-28T06:43:29.348-08:00Hi! Thank you for this very useful example using t...Hi! Thank you for this very useful example using the caret package. It helps me a lot! However, wouldn't it be more "logical" to use RFE based on a SVM model instead of using one based on the random forest? Actually, I'm looking for a RFE algorithm based on SVM… Anonymousnoreply@blogger.com