Re: Prediction output consisting only of question marks
Peter Reutemann <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAHoQ12+BMQTafTqr6+scmTKRNXYOtRDz_gm5ZLHOkqE5iKMxfQ@mail.gmail.com> |
> I'm using a training and a test dataset with the random forest algorithm for this project. My issue is that the output prediction shows the total number of instances is 0, and the detailed accuracy by class information is all represented by question marks. > > Some additional information: I get no pop-up errors for this, and all my attributes in the data files match between the training and test file (as does the spelling of the attribute names). I've also tried running the test file with cross-validation, and that has worked fine. The issue is just occurring when I run the training dataset using the 'supplied test set' option to make predictions with my test dataset. I'm fairly new to using Weka, so any advice would be greatly appreciate! Can you verify this behaviour with another dataset? E.g., split the iris UCI dataset and perform the same procedure. 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