AutoWeka and AttributeSelectedClassifier
Shu-Ju Tu <[email protected]> Wed, 24 Apr 2024 13:59:12 +0800
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CABaQXBsXsyjTL6eQ1qCqw3keNVSjooLXL8PjSChO8UMKqT2_Hw@mail.gmail.com> |
--===============3119073107198786747== Content-Type: multipart/alternative; boundary="000000000000437e4d0616d15f15" --000000000000437e4d0616d15f15 Content-Type: text/plain; charset="UTF-8" Hello Weka development team and users: I read AutoWeka can select best classifiers and tuning optimized hyperparameters. Is it possible whether I can first apply AttributeSelectedClassifier or WrapperSubsetEval for potential best attribute subsets and then use AutoWeka? Sincerely yours and warm regards, Shu-Ju --000000000000437e4d0616d15f15 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Hello Weka development team and users:</div><div><br>= </div><div>I read AutoWeka can select best classifiers and tuning optimized= hyperparameters.</div><div><br></div><div>Is it possible whether I can fir= st apply AttributeSelectedClassifier or WrapperSubsetEval for potential bes= t attribute subsets and then use AutoWeka? <br></div><div><br></div><div>Si= ncerely yours and warm regards,</div><div>Shu-Ju<br></div><div><br></div></= div> --000000000000437e4d0616d15f15-- --===============3119073107198786747== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ 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 --===============3119073107198786747==--