Dear All,
We came across a problem when using the "tree" package to analyze our data
set.
First, in the "tree" function, if we use the default value "mindev=0.01",
the resulting regression tree has a single node. So, we set "mindev=0", and
obtain a tree with 931 terminal nodes.
However, when we further use the "cv.tree" function to run a 10-fold
cross-validation, the error message is:
"Error in prune.tree(list(frame = list(var = 1L, n = 6676, dev =
3.28220789569792, : can not prune singlenode tree".
Is the "cv.tree" function respecting the mindev chosen in the tree function
or what else might be wrong?
Thanks,
Shiyao
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
