Hello, Max The caret package is so good, I am learning it, but one problem is that nearZeroVar function can be used to identify near zeroâvariance variables and it only identify, how can I remove those variables that were identify, because I have many zero- or near zero- ones, it is not realistic to removel it by hand, can this function can identify and removel those ones automatically? looking for your reply. kevin
å¨2009-12-19ï¼"Max Kuhn [via R]" <ml-node+975038-1351220...@n4.nabble.com> åéï¼ -----åå§é®ä»¶----- å件人:"Max Kuhn [via R]" <ml-node+975038-1351220...@n4.nabble.com> åéæ¶é´:2009å¹´12æ19æ¥ ææå æ¶ä»¶äºº:bbslover <dlu...@yeah.net> 主é¢:Re: [R] Hello all, How can I get corss-validation MSE of SVM in e1071? You can get this using the caret package. There are a few package vignettes that come with the package and a JSS article http://www.jstatsoft.org/v28/i05/paper about the package. Max On Fri, Dec 18, 2009 at 12:26 PM, bbslover <[hidden email]> wrote: > > as known, svm need tune some parameters like cost,gamma and epsilon to get > better performance,but one question appear, how can i monitor the > performance . generally speaking ,we chose the cross-validation MSE in the > training set, but It seems svm can not return the cross-validation MSE > value, we just get it from "summary model.svm", if I write a loop, have no > idear call the cros-validate MSE, and no way to monitor this performance > ,how can I do? > > > -- > View this message in > context:http://n4.nabble.com/Hello-all-How-can-I-get-corss-validation-MSE-of-SVM-in-e1071-tp974942p974942.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ >[hidden email]mailing list >https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Max ______________________________________________ [hidden email]mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. View message @http://n4.nabble.com/Hello-all-How-can-I-get-corss-validation-MSE-of-SVM-in-e1071-tp974942p975038.html To unsubscribe from Hello all, How can I get corss-validation MSE of SVM in e1071?,click here. -- View this message in context: http://n4.nabble.com/Hello-all-How-can-I-get-corss-validation-MSE-of-SVM-in-e1071-tp974942p975955.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]
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