MCDMClassification Metric

召回率（灵敏度）

召回率衡量分类器正确识别出的实际正例的比例。它回答了这样的问题：“在所有真正为正例的样本中，我们找出了多少？”在漏掉正例代价高昂的情况下，召回率至关重要。

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

召回率（灵敏度）

Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI: 10.1016/j.patrec.2005.10.010 ↗
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 ↗

ScholarGate. (2026, June 3). Recall or Sensitivity (True Positive Rate). ScholarGate. https://scholargate.app/zh/model-evaluation/recall

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.