[R] create mean ksvm model

Luigi Marongiu m@rong|u@|u|g| @end|ng |rom gm@||@com
Sat Oct 23 22:19:02 CEST 2021

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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