A dynamic over-sampling procedure based on sensitivity for multi-class problems

Abstract

Classification with imbalanced datasets supposes a new challenge for researches in the framework of machine learning. This problem appears when the number of patterns that represents one of the classes of the dataset (usually the concept of interest) is much lower than in the remaining classes. Thus, the learning model must be adapted to this situation… (More)
DOI: 10.1016/j.patcog.2011.02.019

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