论文标题
F*：F量的可解释转换
F*: An Interpretable Transformation of the F-measure
论文作者
论文摘要
F量度（也称为F1得分）被广泛用于评估分类算法的性能。但是，一些研究人员发现它缺乏直观的解释，质疑将绩效的两个方面相结合为概念上的两个方面的适当性，例如精确和回忆，并且质疑谐波的含义是否是将它们结合的最佳方法。为了缓解这种关注点，我们描述了F-Measure的简单转换，我们称之为F*（F-Star），它具有直接的实际解释。
The F-measure, also known as the F1-score, is widely used to assess the performance of classification algorithms. However, some researchers find it lacking in intuitive interpretation, questioning the appropriateness of combining two aspects of performance as conceptually distinct as precision and recall, and also questioning whether the harmonic mean is the best way to combine them. To ease this concern, we describe a simple transformation of the F-measure, which we call F* (F-star), which has an immediate practical interpretation.
