Weka meta bagging and boosting classifiers
Michael Hall <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
@Felix Mohr I’m not sure you are aware that Weka classifiers can be wrapped with meta classifiers. Bagging and AdaBoostM1 e.g. These sort of chain the classifiers or create a hybrid classifier My best Weka results are often Bagging RandomForest. Sort of odd since I found out later that RandomForest is sort of bagging but often true. Does MLPlan support that sort of classifier was sort of the question. Fwiw, I found at one point that you could even chain the meta classifiers… http://mikehall.pairserver.com/ensemble.html _______________________________________________ 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