Cited by 2,285Imbalanced Data Classification TechniquesMachine Learning and Data ClassificationData Mining and Machine Learning Applications

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A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation

Goutte, Cyril, Gaussier, Eric·2005·Lecture Notes in Computer Science

DOI 10.1007/978-3-540-31865-1_25

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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
DOI: 10.1007/978-3-540-31865-1_25
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

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A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation

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