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Updated: May 1, 2026

A Tactile Automated Passive-Finger Stimulator TAPS
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Published on: June 3, 2009

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纳特:对不平衡类别的可解释信用评分的非pArameTric方法

Seongil Han1, Haemin Jung2

  • 1School of Computing & Mathematical Sciences, University of London, Birkbeck College, London, United Kingdom.

PloS one
|December 31, 2024
PubMed
概括

可解释信用评分 (NATE) 框架的非parametric过量采样方法提高了信用风险分类的准确性和可解释性. NATE有效地处理不平衡的数据,优于后勤回归并提高决策透明度.

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