相关实验视频

Updated: Jan 8, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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在不平衡的空气污染数据中,使用具有相关性加权 (MBB-RW) 的移动块引导方法对极端值进行修改的重新采样策略

Mahiran Muhammad1, Ahmad Zia Ul-Saufie2, Noor Fadhilah Ahmad Radi1

  • 1Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, 40450, Selangor, Malaysia.

Scientific reports
|December 12, 2025
PubMed
概括

一个新的重新采样策略,即移动块引导与相关权重 (MBB-RW),有效地解决了空气污染数据的不平衡. 这种方法可以提高极端事件的预测准确度,这对于公共卫生和环境监测至关重要.

关键词:
极端事件 极端事件极端梯度提升 (XGBoost) 的使用不平衡的数据不平衡的数据移动区块启动 (MBB) 的一个例子.移动区块启动带有相关性加权 (MBB-RW)颗粒物质10 (PM10) 颗粒物质10 (PM10) 颗粒物质10 (PM10) 颗粒物质10 (PM10) 颗粒物质10 (PM10)

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