The caret package can do a lot of that for you: http://www.jstatsoft.org/v28/i05/paper http://cran.r-project.org/web/packages/caret/index.html http://cran.r-project.org/web/packages/caret/vignettes/caretTrain.pdf
Max On Fri, May 21, 2010 at 8:05 AM, Roel Meeuws <r.j.mee...@tudelft.nl> wrote: > Dear R expert > > I have come across the GBM package for R and it seemed appropriate for my > research. I am trying to predict the number of FPGA resources required by a > Software Function if it were mapped onto hardware. As input I use software > metrics (a lot of them). I already use several regression techniques, and > the graphs I produce with GBM look promising. > > Now my question... I see that the output of the GBM package gives (when > using cross-validation) also an array called cv.error. How might I obtain > the Cross-Validated Rooted Mean Square Error from that data? Or is there > another approach to that? > Also I would like to have a plot of the cross-validated predictions versus > the original data, I could do this by manually performing Leave-One-Out and > getting the predictions for the plot, but as GBM incorporates > Cross-Validation I was wondering if there is an easier approach. > > I hope someone can point me in the right direction. Many thanks for any help > anyone might be able to give. > > kind regards, > > Roel Meeuws > -------------------------------------------- > Roel Meeuws > PhD. Student > Delft University of Technology > Faculty of Electrical Engineering Mathematics and Computer Science > Computer Engineering Laboratory > Mekelweg 4, 2628 CD Delft, The Netherlands > -------------------------------------------- > Email:r.j.mee...@tudelft.nl <email%3ar.j.mee...@tudelft.nl> > Office: HB 16.290 > Office phone: +31 (0)15 27 82 165 > Mob. phone: +31 (0)6 10 82 44 01 > -------------------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Max ______________________________________________ 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.
