No, the sampling is done on rows. The definition of a bootstrap (re)sample is one which is the same size as the original data but taken with replacement. The "Accuracy SD" and "Kappa SD" columns give you a sense of how the model performance varied across these bootstrap data sets (i.e. they are not the same data set).
In the end, the original training set is used to fit the final model that is used for prediction. Max On Sun, May 1, 2011 at 6:41 PM, pdb <ph...@philbrierley.com> wrote: > Hi Max, > > But in this example, it says the sample size is the same as the total number > of samples, so unless the sampling is done by columns, wouldn't you get > exactly the same model each time for logistic regression? > > ps - great package btw. I'm just beginning to explore its potential now.-- > View this message in context: > http://r.789695.n4.nabble.com/caret-prevent-resampling-when-no-parameters-to-find-tp3488761p3488881.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
