If you read the help page for randomForest(), you would expect this behavior...
In the "Value" section of that help page, it says: predicted the predicted values of the input data based on out-of-bag samples. Andy From: Rodney Barnett > > Is it expected that predict.randomForest() produces the > response vector when > given the same data frame as provided to randomForest()? See below. > > Thanks. > > Rodney > > > rf <- randomForest (Species ~ ., iris) > > pc <- predict (rf, iris) > > confusion (pc, iris$Species) > true > object setosa versicolor virginica > setosa 50 0 0 > versicolor 0 50 0 > virginica 0 0 50 > attr(,"error") > [1] 0 > > confusion (rf$predicted, iris$Species) > true > object setosa versicolor virginica > setosa 50 0 0 > versicolor 0 47 3 > virginica 0 3 47 > attr(,"error") > [1] 0.04 > > rf$confusion > setosa versicolor virginica class.error > setosa 50 0 0 0.00 > versicolor 0 47 3 0.06 > virginica 0 3 47 0.06 > > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > Notice: This e-mail message, together with any attachme...{{dropped:12}} ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
