A Cluster-based Undersampling Technique for Multiclass Skewed Datasets
Imbalanced data classification is a demanding issue in data mining and machine learning. Models that learn with imbalanced input generate feeble performance in the minority class. Resampling methods can handle this issue and balance the skewed dataset. Cluster-based Undersampling (CUS) and Near-Mis...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2023-06-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/5844 |