I am just starting to use R language, and jumped into using svm (e1071) model to do classification analysis using svm. Meanwhile, I used 10-fold cross validation to evaluate initial classification accuracy. Now I am going to run for example 100 times cross validation to determine the distribution of classification accuracy (confidential interval of classificaiton accuracy). How do I program it to get these results? Thanks in advance. -- View this message in context: http://www.nabble.com/how-to-get-confidential-interval-for-classification-accuracy-using-10-fold-validation-in-svm-package-tp18473138p18473138.html Sent from the R help mailing list archive at Nabble.com.
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