Muhammad Azam wrote:
Dear R community
I have a question regarding the value of cost complexity parameter "k" used in "tree" package for pruning purpose. Any help in finding the optimum value of "k" is requested. Please give some suggestion in this regard. In the example below i used k=0 but i don't know why? But if i use k=NULL, then it will not plot the resultant tree.
0 means you have not pruned, higher values will result in "more"
pruning. Now, which value to choose is up to you: Do you want just a
reasonably complex tree in order to explain things? Or do you want to
optimize some performance measure? In the latter case: Which one?
Misclassification rate? Then you probbaly want to use cross validation
for different values of k. And so on.
But then, better read a good book about trees. And also not that the
author of the tree package suggests to use the package "rpart" instead.
Uwe Ligges
library(tree)
ds=iris; iris=transform(iris, Species = factor(Species, labels = letters[1:3]))
miris <- tree(Species ~ ., data = iris, control=tree.control(nobs = 150, minsize = 5,
mincut = 2)); iris.prun=prune.tree(miris, method=c("misclass"), best = NULL, k=0);
iris.prun; summary(iris.prun); plot(iris.prun)
best regards
Muhammad Azam
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