一朵玫瑰的其他名字:关于 2x2 表格中的基本分数及其附带的大量名称

Harold E. Brooks, Montgomery L. Flora, Michael E. Baldwin
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摘要

预测评估指标在各种情况下被发现和重新发现,从而导致混乱。我们研究了 2x2 或然率表中的度量及其发展历史,并说明了不同领域在处理类似问题时如何对相同的数学概念采取不同的方法和视角。例如,"检测概率 "是气象学中的一个量,在该领域也被称为 "预报率",而同样的东西在信息科学和机器学习中被称为 "召回率",在医学文献中被称为 "灵敏度 "和 "真阳性率"。许多将 2x2 表格中的三个元素结合在一起的分数可以从维恩图的角度来看,也可以从两个性能指标比率的毕达哥拉斯平均值(可能是加权的)的角度来看。虽然这两种视角之间存在代数关系,但作者们所采用的方法将他们引向了不同的方向,因此他们不太可能发现自然产生于另一种方法的分数。最后,我们讨论了理解分数选择所表达的隐含或明确价值的重要性。最后,我们讨论了理解分数选择所表达的隐性或显性价值观的重要性。此外,我们还就发表跨学科作品时应使用的适当术语提出了一些简单的建议。
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A rose by any other name: On basic scores from the 2x2 table and the plethora of names attached to them
Forecast evaluation metrics have been discovered and rediscovered in a variety of contexts, leading to confusion. We look at measures from the 2x2 contingency table and the history of their development and illustrate how different fields working on similar problems has led to different approaches and perspectives of the same mathematical concepts. For example, Probability of Detection is a quantity in meteorology that was also called Prefigurance in the field, while the same thing is named Recall in information science and machine learning, and Sensitivity and True Positive Rate in the medical literature. Many of the scores that combine three elements of the 2x2 table can be seen as either coming from a perspective of Venn diagrams or from the Pythagorean means, possibly weighted, of two ratios of performance measures. Although there are algebraic relationships between the two perspectives, the approaches taken by authors led them in different directions, making it unlikely that they would discover scores that naturally arose from the other approach. We close by discussing the importance of understanding the implicit or explicit values expressed by the choice of scores. In addition, we make some simple recommendations about the appropriate nomenclature to use when publishing interdisciplinary work.
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