saving clusters to new arff files

[shiloon ()]

Hi forum :)

how it is possible using filters to classify a data file into 10 dataset, 9 as train data, 1 as test using cross-validation j48 algorithm?

thanks for your help

[Peter Reutemann-3]

> how it is possible using filters to classify a data file into 10 dataset, 9
> as train data, 1 as test using cross-validation j48 algorithm?

I'm confused at what you're trying to do... Are you trying to perform
a clustering task, like your subject suggests or are you trying to
manually perform cross-validation (i.e., a classification task)?

In my previous post, I already mentioned how you can generate subsets
of a dataset using filters:
  https://list.scms.waikato.ac.nz/mailman/htdig/wekalist/2009-October/019663.html

You might also want to have a look at the wiki article "Generating
cross-validation folds" (the "filter approach" uses the RemoveFolds
filter I mentioned in my previous post):
  http://weka.wikispaces.com/Generating+cross-validation+folds

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[shiloon]

Many thanks Peter, it worked :)

Peter Reutemann-3 wrote:

> how it is possible using filters to classify a data file into 10 dataset, 9
> as train data, 1 as test using cross-validation j48 algorithm?

I'm confused at what you're trying to do... Are you trying to perform
a clustering task, like your subject suggests or are you trying to
manually perform cross-validation (i.e., a classification task)?

In my previous post, I already mentioned how you can generate subsets
of a dataset using filters:
  https://list.scms.waikato.ac.nz/mailman/htdig/wekalist/2009-October/019663.html

You might also want to have a look at the wiki article "Generating
cross-validation folds" (the "filter approach" uses the RemoveFolds
filter I mentioned in my previous post):
  http://weka.wikispaces.com/Generating+cross-validation+folds

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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