Alejandro,
Hi, somebody knows about one R-package which i can evaluate quality (recall, precision, accuracy, etc) of Neural network classification with more than 2 classes. I found ROCT package, http://cran.r-project.org/web/packages/ROCR/index.html, but it only workes with binary classifications,
I guess that is because strictly these measures are defined for binary problems (though I expand them to multi-class situations by using class-A ./. not-class-A binary measures which comes quite naturally for my classes).
In case you need something that takes soft or fuzzy class measures: I put my ideas about that into package softclassval and would much appreciate feedback. Best, Claudia
Best regards, ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Claudia Beleites Spectroscopy/Imaging Institute of Photonic Technology Albert-Einstein-Str. 9 07745 Jena Germany email: claudia.belei...@ipht-jena.de phone: +49 3641 206-133 fax: +49 2641 206-399 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.