Combining sampling and ensemble classifier for multiclass imbalance data learning
The aim of this paper is to investigate the effects of combining various sampling and ensemble classifiers on the prediction performance in addressing the multiclass imbalance data learning. This research uses data obtained from the Malaysian medicinal leaf images shape data and three other large be...
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| Main Authors: | , , , |
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| Format: | Book Section |
| Published: |
Springer
2018
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/25566/ http://doi.org/10.1007/978-981-10-8276-4_25 |
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