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Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification
Many real classification problems are characterized by a strong disturbance in a prior probability, which for the most of classification algorithms leads to favoring majority classes. The action most often used to deal with this problem is oversampling of the minority class by the smote algorithm. F...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303698/ http://dx.doi.org/10.1007/978-3-030-50423-6_8 |