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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主要作者: Seng , Zian
格式: Thesis
出版: 2021
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在线阅读: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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