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/
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