Hi, Dear Greg,

I have one question, if I boosting decision tree, the distribution =
"bernoulli", after that, I use predict.gbm to predict the fitted value for
new data set.

predict(gbm1, newdata, n.trees=best..iteration, type="response")

If type="response" then gbm converts back to the same scale as the outcome.
My outcome is 0 and 1. Will it be 0 and 1?

Also on the help document, " Currently the only effect this will have is
returning probabilities for bernoulli"

how to change to 1 and 0, which is what I want?

Thanks so much!


-- 
Sincerely,
Changbin
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