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通过基于坐标的少数特征采矿来改进高斯的天真贝叶斯对不平衡数据的分类

Wei Wang1, Li Yan1, Fen Liu1

  • 1School of Business, Guilin Tourism University, Guilin, Guangxi, China.

PeerJ. Computer science
|September 24, 2025
PubMed
概括

这项研究引入了一种新的坐标转换算法,以提高高斯天真贝叶斯 (GNB) 对不平衡数据的分类性能. 辐射局部相对密度变化 (RLDC) 方法增强了少数阶级的代表性,而不改变数据分布,优于传统的采样技术.

关键词:
协调转换的转换.高斯的天真贝叶斯分类器.不平衡的数据不平衡的数据少数阶级的突出特征 少数阶级的突出特征

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