Prediction results for two response variable from random forest

Question

Would any R expert explain the predic function in the randomforest package to me?

I want to get two prediction results for numberic response variable A and B seperately from following regression

result <-randomforest(A + B ~ C + D + E, data = dataset)
predict(result)

I can get one prediction result. But prediction is neither A nor B. I can get the prediction results for both A and B from Mvpart and party package.

Thanks in advance!

Answer 1

Build two forests using the same input data and different response variables, one forest for A and one for B.

You can then combine the output of the two trees to create a prediction {A,B}.

Answer 2

Random Forest does not fit multiple response. You need to fit separate models for A and B. In your case Random Forest has treated the sum(A,B) as single dependent variable. So the prediction also corresponds to sum(A,B).