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检测汽车保险欺诈使用一种新的惩罚驱动特征选择方法与粒子群集优化和机器学习分类器

Öznur Özaltın1, Övgücan Karadağ Erdemir2

  • 1Department of Actuarial Science, Faculty of Science, Hacettepe University, Ankara, Turkey. oznurozaltin@hacettepe.edu.tr.

Scientific reports
|November 25, 2025
PubMed
概括

一种新的罚款驱动功能选择方法改善了汽车保险欺诈的检测. 这种方法提高了模型的概括性和可解释性,为保险公司提供了一个实用的工具.

关键词:
人工智能的人工智能是人工智能.分类 分类 分类 分类.选择功能选择功能选择.超参数优化超参数优化检测保险欺诈行为 检测保险欺诈行为机器学习是机器学习.粒子群集优化优化 粒子群集优化

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