Listar por tema "SMOTE"
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Estudio empírico del enfoque asociativo en el contexto de los problemas de clasificación
Centro de Investigacion en Computacion (CIC) del Instituto Politecnico Nacional (IPN) (2019)Research carried out by the scientific community has shown that the performance of the classifiers depends not only on the learning rule, if not also on the complexities inherent in the data sets. Some traditional classifiers ... -
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
Springer (2012)Many traditional approaches to pattern classifi- cation assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the ratios ...