A Hybrid Undersampling-SMOTE Method for Imbalanced Big Data Classification
Imbalanced data is an important issues and challenges faced in data classification. This will lead to poor performance of binary classifiers, this is due to bias in classification in favour of the majority class and lack of understanding of the influence of the minority class, while the minority cla...
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| Main Authors: | , |
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| Format: | Book |
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College of Education for Pure Sciences,
2023-12-01T00:00:00Z.
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