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Rebalancing classes in binary classification with Bayes classifiers
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DOI：10.1016/j.patcog.2026.113310.png)
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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
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