Dear all,
I am working with randomForest package and I am interested in examining the
"Gini importance" measures that are used as a general indicator of feature
relevance. Is there a possibility of getting the Gini measure that is being
estimated in each tree by the output of the getTree() functio
This message landed in the "Junk e-mails" folder (of which I have no
control), and it just so happens today that I glanced in the folder
today, instead of just emptying it without checking, trusting the filter
to do the Right Thing...
Since you seem to run into preblem with predict.randomForest, o
I am trying to run a partialPlot with Random Forest (as I have done many times
before).
First I run my forest... Cell is a 6 level factor that is the dependent
variable - all other variables are predictors, most of these are factors as
well.
predCell<-randomForest(x=tempdata[-match("Cell",name
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