A neighbourhood undersampling stacked ensemble with H-measure maximising meta-learner for imbalanced classification / Seng Zian
Stacked ensemble formulates an ensemble using a meta-learner to combine (stack) the predictions of multiple base classifiers. It suffers from the problem of suboptimal performance in imbalanced classification. Several underlying difficulty factors are reported to be responsible for performance de...
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| フォーマット: | 学位論文 |
| 出版事項: |
2021
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| オンライン･アクセス: | http://studentsrepo.um.edu.my/14776/1/Seng_Zian.pdf http://studentsrepo.um.edu.my/14776/2/Seng_Zian.pdf http://studentsrepo.um.edu.my/14776/ |
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