Hi all, I run R 2.11.1 under ubuntu 10.10 and caret version 2.88.
I use the caret package to compare different models on a dataset. In order to compare their different performances I would like to use the same data partitions for every models. I understand that using a LGOCV or a boot type re-sampling method along with the "index" argument of the trainControl function, one is able to supply a training partition to the train function. However, I would like to apply a 10-fold cross validation to validate the models and I did not find any way to supply some predefined partition (created with createFolds) in this setting. Any help ? Thank you and great package by the way ! Fabon Dzogang. ______________________________________________ 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.
