An empirical evaluation of stacked ensembles with different meta-learners in imbalanced classification
The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in imbalanced classification, selecting an appropriate and well-performing meta-learner of stacked ensemble is not straigh...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/27115/ |
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