A systematic analysis of performance measures for classification tasks
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2009/07/01
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Indian UGC (journal)
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Refrences45
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Citations2,468
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Marina Sokolova
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Guy Lapalme
Cite
Sokolova, Marina, and Guy Lapalme. “A Systematic Analysis of Performance Measures for Classification Tasks”. Information Processing &Amp; Management, vol. 45, no. 4, 2009, pp. 427-3, https://doi.org/10.1016/j.ipm.2009.03.002.
Sokolova, M., & Lapalme, G. (2009). A systematic analysis of performance measures for classification tasks. Information Processing &Amp; Management, 45(4), 427-437. https://doi.org/10.1016/j.ipm.2009.03.002
Sokolova M, Lapalme G. A systematic analysis of performance measures for classification tasks. Information Processing & Management. 2009;45(4):427-3.
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
RECOGNIZING STRONG AND WEAK OPINION CLAUSES | Computational Intelligence |
| 47 | 2006 |
| Selecting the right objective measure for association analysis | Information Systems |
| 2004 | |
Performance measurement framework for hierarchical text classification | Journal of the American Society for Information Science and Technology | 23 | 2003 | |
Machine learning in automated text categorization | ACM Computing Surveys |
| 2,025 | 2002 |
| MIPS: a database for protein sequences, homology data and yeast genome information | Nucleic Acids Research |
| 135 | 1997 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
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| 2024 | |
Semi‐supervised learning methods for weed detection in turf | Pest Management Science |
| 2024 | |
Convolutional neural network based on the fusion of image classification and segmentation module for weed detection in alfalfa | Pest Management Science |
| 2024 | |
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Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 786
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Two information-theoretic tools to assess the performance of multi-class classifiers and was published in 2010. The most recent citation comes from a 2024 study titled Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process. This article reached its peak citation in 2021, with 409 citations. It has been cited in 993 different journals, 22% of which are open access. Among related journals, the IEEE Access cited this research the most, with 89 citations. The chart below illustrates the annual citation trends for this article.