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Wekalist -- Weka machine learning workbench list.

 
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About Wekalist
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The Weka mailing list (wekalist@list.waikato.ac.nz) is for discussions pertaining to the use of the Weka machine learning workbench.

Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes.

Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets.

Weka is publically available and is distributed under the GPL.

http://www.cs.waikato.ac.nz/~ml/

To see the collection of prior postings to the list, visit the Wekalist Archives, Mirror 1, Mirror 2

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Using Wekalist

To post a message to all the list members, send email to wekalist@list.waikato.ac.nz.
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Subscribing to Wekalist

Subscribe to Wekalist by filling out the following form. You will be sent email requesting confirmation, to prevent others from gratuitously subscribing you. This is a private list, which means that the list of members is not available to non-members.

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