You appear to be bombarding the list with statistics questions. Please note
per the posting guide linked below:
"*Questions about statistics:* The R mailing lists are primarily intended
for questions and discussion about the R software. However, questions about
statistical methodology are sometimes posted. If the question is well-asked
and of interest to someone on the list, it *may* elicit an informative
up-to-date answer."
So you should not be surprised if you do not receive any responses. You
*may* do better posting such questions on Cross Validated:
https://stats.stackexchange.com/ .
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Sat, Oct 23, 2021 at 1:19 PM Luigi Marongiu <marongiu.luigi at
gmail.com>
wrote:
> Hello,
> I am using the ksvm function from the library kernlab to generate an
> SVM classification. I am running the model with k-mean
> cross-validation, thus obtaining different accuracy.
> Is it possible to merge the different models obtained with the
> separate data set to generate a kind of median model, one that
> accounts for all the datasets used for the training?
> Thank you
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>
[[alternative HTML version deleted]]