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I'm developing a binary decision tree in R with the "party" package, ctree. Further, I want to prune the tree with some controls (ctree_control) e.g., maxdepth, minsplit, and mtry. The model looks something like this:

tree <- ctree(Class ~ ., data = train, controls = ctree_control(mincriterion = 0.99,minsplit = 500))

How can I visualize the controls to choose the optimal criterion?

visu_hello
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  • Just to understand the question better. Do you want to visualize if, for example, the constrain you imposed, say `minsplit=500`, was actually an active restriction? – Álvaro A. Gutiérrez-Vargas Jul 01 '21 at 07:46
  • This will probably depend on how exactly you do the selection of the parameters. Note that there are also packages like `caret`, for example, that offer automatic tuning for `ctree`. – Achim Zeileis Jul 01 '21 at 09:42
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    @ÁlvaroA.Gutiérrez-Vargas Yes, I want to vizualize that e.g. minsplit=500 is the optimal constraint for the model – visu_hello Jul 05 '21 at 11:38

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