comparing classifiers
Peter Reutemann <[email protected]> Thu, 27 Oct 2022 10:59:41 +1300
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAHoQ12+prxS2RQhKBypm1oq9svnBoxxk=qpC=8ca1Ogaih5XJw@mail.gmail.com> |
> I have a question, if i want to run a group of classifiers (WEKA) on the same > dataset, is "Accuracy" would be the > > enough to say that c;lassifer 'A' is better than others because it shows > better Accuracy using that dataset, or any other mesurements one need to > taken into consideration You should use the Experimenter for generating such comparisons. It will tell you whether the differences are statistically significant or not. You can then also evaluate other measures, like root mean squared error (RMSE), F1, precision, recall, to check whether the differences are still significant. Check the manual PDF that comes with Weka on how to use the Experimenter. Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ https://www.cs.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