An intruder from another world
F1-score.
DOI:
https://doi.org/10.30445/rear.v16i4.1258Keywords:
Diagnostic tests, Sensitivity, Positive predictive value, F1-scoreAbstract
The F1-score, also called F-score or F-measure, is an estimator of the classification capacity of a test that is frequently used in data science and artificial intelligence algorithms and that can be useful for evaluation of diagnostic tests. It is the harmonic mean of sensitivity and positive predictive value, so it weights the value of both in a single estimator.
References
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- Linear and logistic regression. En: Zumel N, Mount J, eds. Practical Data Science with R, 2ª ed. Manning Publications Co. Shelter Island, NY, 2020;215-73.
- Sasaki Y. The truth of the F-measure. School of Computer Science, University of Manchester, 2007. [Disponible en: https://www.researchgate.net/publication/268185911_The_truth_of_the_F-measure]. [Consultado en 12/09/2023].
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