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ArXiv
|June 17, 2024
PubMed
概括

交叉验证可以对机器学习模型的评估产生负面影响,这是由于分布式偏差. 一种新的再平衡交叉验证方法纠正了这种偏差,在数据稀缺的场景中改善了绩效评估.

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