Rebalancing classes in binary classification with Bayes classifiers

doi:10.1016/j.patcog.2026.113310

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Rebalancing classes in binary classification with Bayes classifiers

2026-02-17

PRE

DOI：10.1016/j.patcog.2026.113310

Original

Original request for help

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Abstract

En 中文

• Analyze the intricate relationship between the rebalancing ratio and key performance metrics. • Derive the optimal rebalancing ratio in synthetic dataset. • Propose an efficient algorithm to compute the optimal rebalancing ratio in real dataset. • Extensive experiments confirm the effectiveness of the approach.

Keywords:

rebalancing ratio

binary classification

Bayes classifiers

performance metrics

optimal algorithm

Journal

Pattern Recognition

IF:

7.6

Papers:

1.3W

Citations:

4.5W

Organization

Shenzhen University

Scholars:

4.0K

Papers: 1.7K

Citations: 5.4W

Dongguan University of Technology

Scholars:

5.2K

Papers: 4.5K

Citations: 7.8K

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