Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets
Machine learning algorithms assume that datasets are balanced, but most of the datasets in the real world are imbalanced. Class imbalance is a major challenge in machine learning and data mining. Oversampling and undersampling methods are commonly used to address this issue. Edited Nearest Neighbor...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221509862500031X |
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