Research and application of XGBoost in imbalanced data
As a new and efficient ensemble learning algorithm, XGBoost has been widely applied for its multitudinous advantages, but its classification effect in the case of data imbalance is often not ideal. Aiming at this problem, an attempt was made to optimize the regularization term of XGBoost, and a clas...
| Główni autorzy: | , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
Wiley
2022-06-01
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| Seria: | International Journal of Distributed Sensor Networks |
| Dostęp online: | https://doi.org/10.1177/15501329221106935 |