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Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification
Multi-class imbalanced classification tasks are characterized by the skewed distribution of examples among the classes and, usually, strong overlapping between class regions in the feature space. Furthermore, frequently the goal of the final system is to obtain very high precision for each of the co...
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| Vydáno v: | Computational Science – ICCS 2020 |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7303687/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50423-6_11 |
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