Sari, Nilam Novita and Zain, Ismaini and Fithriasari, Kartika and Muhaimin, Amri (2021) BR+ for Addressing Imbalanced Multilabel Data Classification Combined with Resampling Technique. In: Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia.
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Abstract
BR+ is a multilabel method that transforms multilabel into binary single label and assumes label dependency. BR+ can use any different classification method such as random forest. Random forest is an advantageous classification method. But presence of imbalanced classes, random forest will result in
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:32 |
| Last Modified: | 17 Apr 2026 08:10 |
| URI: | http://eprints.eai.eu/id/eprint/35274 |
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