Comparing the performance of adaboost, xgboost, and logistic regression for imbalanced data
An imbalanced data problem occurs in the absence of a good class distribution between classes. Imbalanced data will cause the classifier to be biased to the majority class as the standard classification algorithms are based on the belief that the training set is balanced. Therefore, it is crucial to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Horizon Research Publishing
2021
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| Series: | Mathematics and Statistics
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |