Hi list, I´m working on a predictive modeling task using the caret package. I found the best model parameters using the train() and trainControl() command. Now I want to evaluate my model and make predictions on a test dataset. I tried to follow the instructions in the manual and the vignettes but unfortunately I´m getting an error message I can`t figure out. Here is my code: rfControl <- trainControl(method = "oob", returnResamp = "all", returnData=TRUE, verboseIter = TRUE) rftrain <- train(x=train_x, y=trainclass, method="rf", tuneGrid=tuneGrid, tr.control=rfControl)
pred <- predict(rftrain) pred # this works fine expred <- extractPrediction(rftrain) Error in models[[1]]$trainingData : $ operator is invalid for atomic vectors My predictors are 28 numeric attributes and one factor. I`m working with the latest version of caret and R 2.7.2 on WinXP. Any advice is very welcome. Thanks. TIM ------------------------------------------------------------------------------- Dipl.-Geogr. Tim Häring Sachgebiet Standort und Bodenschutz (SG 2.1) Bayerische Landesanstalt für Wald und Forstwirtschaft Am Hochanger 11 D-85354 Freising Tel.: +49-(0)8161/71-4769 E-Mail: tim.haer...@lwf.bayern.de http://www.lwf.bayern.de [[alternative HTML version deleted]]
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