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A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
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“Confidence intervals for metrics derived from confusion matrices can be calculated by treating the matrices as probabilistic models of system performance [24].”
From Model Cards for Model Reporting (2019) · cites this paper as [24]
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Metadata
- Authors
- Goutte, C., & Gaussier, E.
- ORCID
- Goutte, Cyril
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 345-359
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1584308190
- Cited by
- 2,285
- References
- 15
- Citations by year
- 2026: 106 · 2025: 269 · 2024: 356 · 2023: 325 · 2022: 279 · 2021: 253 · 2020: 219 · 2019: 151 · 2018: 68 · 2017: 56 · 2016: 41 · 2015: 46 · 2014: 32 · 2013: 23 · 2012: 21
- FWCI
- 3.33
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- precision, memory retrieval, F-score, posterior distribution, comparison of classification methods, information retrieval evaluation, uncertainty quantification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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