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...forest are based on the predictions of the individual trees. You can get that from the predict() method for a randomForest object with the predict.all option. >From there you can compute the strengths and correlations on your own. Andy ________________________________ From: Li GUO [mailto:guoli84 at yahoo.com] Sent: Thursday, June 18, 2009 11:03 AM To: Liaw, Andy Cc: r-help at r-project.org Subject: Can I estimate strength and correlation of Random Forest in R package " randomForest"? Hello! I want to estimate strength and correlation of RandomForest, but in package &qu...

Dear R users, I have a question on the confusion matrix generated by function randomForest. I used the entire data set to generate the forest, for example: > print(iris.rf) Call: randomForest(formula = Species ~ ., data = iris, importance = TRUE, keep.forest = TRUE) confusion setosa versicolor virginica class.error setosa 50 0 0 0.00

Hello! I want to estimate strength and correlation of RandomForest, but in package "randomForest" there is not an interface to get it. I think I must to change the source code. Is there any advise? Thanks, Li [[alternative HTML version deleted]]

Hello, I have an object of Random Forest : iris.rf (importance = TRUE). What is the difference between "iris.rf$importance" and "importance(iris.rf)"? Thank you in advance, Best, Li GUO [[alternative HTML version deleted]]