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Updated: Jan 7, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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SIMBA:数据不平衡的强大和可通用的测量方法

Julie R Pivin-Bachler1, Egon L van den Broek1

  • 1Information and Computing Sciences, Utrecht University, Utrecht 3584 CC, the Netherlands.

Patterns (New York, N.Y.)
|December 31, 2025
PubMed
概括

现实世界的数据不平衡给机器学习 (ML) 带来了挑战. 我们引入了失衡状态 (SIMBA) 测量,它准确地量化了多类数据失衡,并优于现有指标.

关键词:
辛巴 辛巴 辛巴 辛巴一个基准的基准指标.数据的复杂性数据的复杂性数据分布数据的分布.数据不平衡的数据不平衡域名通用化域名通用化重要的特征 重要的特征 重要的特征机器学习是机器学习.测量 测量 测量 测量 测量不平衡状态的状态.调查调查调查调查调查调查调查调查

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