[R] create mean ksvm model

Luigi Marongiu m@rong|u@|u|g| @end|ng |rom gm@||@com
Sun Oct 24 07:40:15 CEST 2021

Thank you for the clarification.

On Sat, Oct 23, 2021 at 11:42 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:
> 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 using 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
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Best regards,

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