ScholarGate
助手
MCDMClassification Metric

Matthews Correlation Coefficient

Matthews Correlation Coefficient (MCC) 是一种衡量预测二元分类与实际二元分类之间相关性的指标。其值域为 -1 至 1,被认为是评估二元分类器最可靠的单分数指标之一,尤其是在处理不平衡数据集时。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. DOI: 10.1016/0005-2795(75)90109-9
  2. Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. link

如何引用本页

ScholarGate. (2026, June 3). Matthews Correlation Coefficient (MCC). ScholarGate. https://scholargate.app/zh/model-evaluation/matthews-correlation-coefficient

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateMatthews Correlation Coefficient (Matthews Correlation Coefficient (MCC)). 于 2026-06-15 检索自 https://scholargate.app/zh/model-evaluation/matthews-correlation-coefficient · 数据集: https://doi.org/10.5281/zenodo.20539026