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Updated: Jul 8, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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STB:对于入侵检测系统不平衡数据集的树增强模型的合成少数超标采样技术

Li-Hua Li1, Ramli Ahmad1, Radius Tanone1

  • 1Information Management, Chaoyang University of Technology, Taichung, Wufeng District, Taiwan.

PeerJ. Computer science
|December 11, 2023
PubMed
概括

本研究介绍了SMOTE树增强 (STB),以解决入侵检测系统 (IDS) 中不平衡的数据集. 该方法提高了对网络攻击的预测准确性,达到99%的准确性和F1分数.

关键词:
在 CatBoost 中使用 CatBoost.侵入检测系统的入侵检测系统轻GBMM 轻GBM 轻GBM 轻GBM机器学习是机器学习.在SMOTE中使用.在XGBoost中使用.

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