[R] Question on implementing Random Forests scoring

Liaw, Andy andy_liaw at merck.com
Fri Apr 9 21:15:11 CEST 2010

From: Larry D'Agostino
> So I've been working with Random Forests ( R library is 
> randomForest) and I
> curious if Random Forests could be applied to classifying on 
> a real time
> basis.  For instance lets say I've scored fraud from a group of
> transactions.  If I want to score any new incoming 
> transactions for fraud
> could Random Forests be used in that context.  Linear 
> Regression is nice in
> that it is very easy to score.
> I suppose R could be used as a real time API to load in data, 
> score, then
> output results.  Is there any other way with Random Forests?

Yes, but not without more work.  You can write the forest out to a file
(with simple R code), and then write a stand-alone C code to read that
model file and score the new data.  The C function that scores new data
from the model can be found in the source code of the package.  Your C
code just need to wrap around that.

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