title: Feature selection + cross-validation, but how to make ROC-curves in R
body: <p>I'm stuck with the next problem. I divide my data into 10 folds. Each time, I use 1 fold as test set and the other 9 as training set (I do this ten times). On each training set, I do feature selection (filter methode with chi.squared) and then I make a SVMmodel with my training set and the selected features.<br>
  So at the end, I become 10 different models (because of the feature selection). But now I want to make a ROC-curve in R from this filter methode in general. How can I do this?</p>
  
  <p>Silke</p>