Hello everyone,
I have been doing a binary classification using random forest from the
library "randomForest". One of the predictors is a factor variable,
which is
known to be highly related to the binary response I am trying to predict.
Other 80 predictors are numeric. Totally I have 44 subjects. However, the
random forest returns the factor variable as the least important one based
on the decreased accuracy measurement. I specified the classification in
the way below:
myrf <- randomForest (disease ~ ., data = mydata, ntree = 500, importance T,
do.trace = F, keep.forest = T)
disease is factor of "cases" and "controls". Are there any
specific things I
need to do differently when a factor predictor is included?
Thank you very much,
Jing
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