| cv.tree(tree) | R Documentation |
Runs a K-fold cross-validation experiment to find the deviance or
number of misclassifications as a function of the cost-complexity
parameter k.
cv.tree(object, rand, FUN=prune.tree, K=10, ...)
object |
An object of class "tree". |
rand |
Optionally an integer vector of the length the number of
cases used to create object, assigning the cases to different
groups for cross-validation. |
FUN |
The function to do the pruning. |
K |
The number of folds of the cross-validation. |
... |
Additional arguments to FUN. |
A copy of FUN applied to object, with component
dev replaced by the cross-validated results from the
sum of the dev components of each fit.
B.D. Ripley
library(MASS)
data(cpus)
cpus.ltr <- tree(log10(perf) ~ syct + mmin + mmax + cach
+ chmin + chmax, cpus)
cv.tree(cpus.ltr, , prune.tree)