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Finding a decision tree's leaf node from a new value
2 messages · João Mendes Moreira, Stephen D. Weigand
3 days later
It sounds to me like you're looking for the function predict.rpart(). Hope this helps, Stephen
On Sep 9, 2005, at 8:45 AM, Jo??o Mendes Moreira wrote:
Dear mailinglist members, I have the following problem: I run a decision tree using the rpart function and, afterwords, I try to find to which leaf node a new register (not used to build the decision tree) belongs to. I will try to explain better: rpart.tree <- rpart(target.value ~., data) leaf.node <- new.function(rpart.tree, new.register) The new register has all the explanatory values used to build the tree but has not the target value. The new.function is the function I am trying to write and shall return the leaf.node from the decision tree where it should belong. What I need ( and I am am not able to) is to reproduce the decision path over my new.register. Thanks in advance Joao Moreira