Random Forests: Question about R^2
Dear Random Forests gurus, I have a question about R^2 provided by randomForest (for regression). I don't succeed in finding this information. In the help file for randomForest under "Value" it says: rsq: (regression only) - "pseudo R-squared'': 1 - mse / Var(y). Could someone please explain in somewhat more detail how exactly R^2 is calculated? Is "mse" mean squared error for prediction? Is "mse" an average of mse's for all trees run on out-of-bag holdout samples? In other words - is this R^2 based on out-of-bag samples? Thank you very much for clarification!
Dimitri Liakhovitski MarketTools, Inc. Dimitri.Liakhovitski at markettools.com