decisiontree <- rpart(....
prune(decisiontree, cp = tree.cptable[which.min(tree.full$cptable[, "xerror"]), "CP"])
how do you interpret this code for pruning cp in decision trees?
It looks like it's selecting the minimum cross validation error, but what does the ,"CP]) at the end mean?