使,

Liangfei Ye1, Qianqian Dong1, Aaron McCright2

  • 1Texas A&M University, College Station, TX, USA.

概括

预测公共饮用水系统 (PWS) 的风险至关重要. 一项新的研究表明,极端梯度增强 (XGBoost) 有效地利用社区和监管数据预测PWS风险,优于其他模型.

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