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 Hello   I have questions about gbm package.  It seems we have to devide data to two part (training set and test set) for first.   1- trainig set for running of gbm function 2- test set for gbm.perf      is it rigth? I have 123 sample that I devided 100 for trainig and 23 for test.   So, parameter of cv.folds in gbm function is for what?   Thanks alot Azam       [[alternative HTML version deleted]]

Hello, In the attached file training.csv (I apologize for the large file) I have 238 objects belonging to 13 classes, which are described by 183 properties. I would like to find a svm model for these objects. I tried the following R statements. library('e1071') datatraining <- read.csv("training.csv",head=TRUE) names<-names(datatraining) print("before