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Updated: Jan 12, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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尽量减少不必要的税务审计使用XGBoost的多目标超参数调整与焦点损失

Ivan P Malashin1, Igor S Masich1, Vadim S Tynchenko1

  • 1Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia.

Frontiers in artificial intelligence
|November 3, 2025
PubMed
概括

本研究引入了一种机器学习 (ML) 模型,用于检测公司的税收违规行为. 优化的XGBoost模型显著提高了检测准确度,有助于监管监督.

关键词:
在XGBoost中使用.检测异常检测异常检测公司数据 公司数据机器学习是机器学习.税务合规性 税务合规性

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