A neighborhood undersampling stacked ensemble (NUS-SE) in imbalanced classification
Stacked ensemble, which formulates an ensemble by using a meta-learner to combine (stack) the predictions of multiple base classifiers, suffers from the problem of suboptimal performance on imbalanced classification. To improve the classification performance of stacked ensemble on imbalanced dataset...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/27148/ |
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