Listar por tema "imbalance"
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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 ... -
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Elsevier (2018-07)Credit risk and corporate bankruptcy prediction has widely been studied as a binary classification problem using both advanced statistical and machine learning models. Ensembles of classifiers have demonstrated their ...