Hi, I created an rpart object and pruned the tree using 1-SE rule. I used 10-fold cross validation while creating the tree. Then, I extracted the cross-validated predictions for my data points using xpred.rpart and obtained some statistics like precision, recall, overall error rate, etc.
However, these values change each time I run xpred.rpart because of the random shuffling going on before cross validation (I think so). What should I do in this case? I am inclined to treat them as random variables with normal distribution. So, when I have, say 100 runs, i can say something about the mean with some confidence interval. However, I also doubt that these subsequent runs may not be independent from each other. I would highly appreciate if someone could make a suggestion. Best regards ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
