
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 zero–variance 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



在2009-12-19，"Max Kuhn [via R]" <ml-node+975038-1351220626@n4.nabble.com> 写道： -----原始邮件-----
发件人:"Max Kuhn [via R]" <ml-node+975038-1351220626@n4.nabble.com>
发送时间:2009年12月19日 星期六
收件人:bbslover <dluthm@yeah.net>
主题: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? 
> 
> 
> -- 
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