R help - Feb 2006 - Cross-validation in SVM

Dear David, Dear R Users,
   
   Calculation of Cross-Validation for SVM, with thoese time series which
include negative and positive values ( for example return of a stock exchange
index) must be different from a calculation of Cross-Validation with time series
which includes just absolute values( for example a stock exchange index).
  How is it calculated for a return time series? 
  Thank you very much for any help.
  Amir 
   
   
   

		
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On Thu, 23 Feb 2006, Amir Safari wrote:
> Calculation of Cross-Validation for SVM, with thoese time series which
> include negative and positive values ( for example return of a stock
> exchange index) must be different from a calculation of Cross-Validation
> with time series which includes just absolute values( for example a
> stock exchange index).
Not necessarily, depends on the type of data.
> How is it calculated for a return time series?
>From the man page of svm():
   cross: if a integer value k>0 is specified, a k-fold cross
          validation on the training data is performed to assess the
          quality of the model: the accuracy rate for classification
          and the Mean Squared Error for regression

i.e., MSE will be used.
Z