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?
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