Re: What these metrics mean? Machine Learning WEKA
Peter Reutemann <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAHoQ12JLo0C9t18fh+9L6B4F-6wzAwAAaf1LbXb3Oy+9GsaerQ@mail.gmail.com> |
> I am new with Machine Learning and* I am doing some predictions with > classification algorithms as Random Tree or J48 using WEKA*. > > I get the following results but, to be honest, I don't know what these > means. I have been searching examples on Google but I didn't find anything > that can help me. > > For example, I would like to know if my prediction is good or bad and why, > just that to starting learning. > > This is my output: > > <https://weka.8497.n7.nabble.com/file/t6747/aaaCaptura.png> I recommend you working through the Weka MOOCs to get a basic understanding first: https://www.cs.waikato.ac.nz/ml/weka/courses.html Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 577-5304 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/ _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html