F*: An Interpretable Transformation of the F-measure
July 31, 2020 ยท Declared Dead ยท ๐ Machine-mediated learning
"No code URL or promise found in abstract"
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Authors
David J. Hand, Peter Christen, Nishadi Kirielle
arXiv ID
2008.00103
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.CV,
cs.IR,
stat.ML
Citations
176
Venue
Machine-mediated learning
Last Checked
3 months ago
Abstract
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.
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