Dear mailinglist members, I was wondering if there was a way to re-evaluate the instances of a tree (in the forest) again after I have manually changed a splitpoint (or split variable) of a decision node. Here's an illustration:
library("randomForest") forest.rf <- randomForest(formula = Species ~ ., data = iris, do.trace = TRUE, ntree = 3, mtry = 2, norm.votes = FALSE) # I am going to change the splitpoint of the root node of the first tree to 1 forest.rf$forest$xbestsplit[1,] forest.rf$forest$xbestsplit[1,1] <- 1 forest.rf$forest$xbestsplit[1,] Because I've changed the splitpoint, some instances in the leafs are not supposed where they should be. Is there a way to reappoint them to the correct leaf? I was also wondering how I should interpret the output of do.trace: ntree OOB 1 2 3 1: 3.70% 0.00% 6.25% 5.88% 2: 3.49% 0.00% 3.85% 7.14% 3: 3.57% 0.00% 5.56% 5.26% What's OOB and what does the percentages mean? Thanks in advance, Martin ______________________________________________________ Click here to donate to the Hurricane Katrina relief effort. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html