It isn't building the same model since each fit is created from different data sets.
The resampling is sort of the point of the function, but if you really want to avoid it, supply your own index in trainControl that has every index (eg, index = seq(along = mdrrClass)). In this case, the performance it gives is the apparent error rate. Max On Sun, May 1, 2011 at 5:57 PM, pdb <ph...@philbrierley.com> wrote: > I want to use caret to build a model with an algorithm that actually has no > parameters to find. > > How do I stop it from repeatedly building the same model 25 times? > > > library(caret) > data(mdrr) > LOGISTIC_model <- train(mdrrDescr,mdrrClass > ,method='glm' > ,family=binomial(link="logit") > ) > LOGISTIC_model > > 528 samples > 342 predictors > 2 classes: 'Active', 'Inactive' > > Pre-processing: None > Resampling: Bootstrap (25 reps) > > Summary of sample sizes: 528, 528, 528, 528, 528, 528, ... > > Resampling results > > Accuracy Kappa Accuracy SD Kappa SD > 0.552 0.0999 0.0388 0.0776 -- > View this message in context: > http://r.789695.n4.nabble.com/caret-prevent-resampling-when-no-parameters-to-find-tp3488761p3488761.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.
