On 31/12/2011 12:34, Israel Saeta Pérez wrote:
Hello list,
I'm trying to generate classifiers for a certain task using several
methods, one of them being decision trees. The doubts come when I want to
estimate the cross-validation error of the generated tree:
tree<- rpart(y~., data=data.frame(x
Hello list,
I'm trying to generate classifiers for a certain task using several
methods, one of them being decision trees. The doubts come when I want to
estimate the cross-validation error of the generated tree:
tree <- rpart(y~., data=data.frame(xsel, y), cp=0.1)
ptree <- prune(tree,
cp=tre
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