Rebalancing classes in binary classification with Bayes classifiers

Zian Le

doi:10.1016/j.patcog.2026.113310

2026-02-17

PRE

DOI：10.1016/j.patcog.2026.113310

原文链接

摘要

En 中文

• 分析再平衡比率与关键性能指标之间的复杂关系。 • 在合成数据集中推导最优再平衡比率。 • 提出一种高效算法，用于计算真实数据集中的最优再平衡比率。 • 大量实验证实了该方法的有效性。

Keyword:

rebalancing ratio

binary classification

Bayes classifiers

performance metrics

optimal algorithm

期刊

Pattern Recognition

IF:

7.6

论文数:

1.4W

被引数:

4.5W

机构

Shenzhen University

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4.0K

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Dongguan University of Technology

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