A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data
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Training classification models on imbalanced data tends to result in bias towards the majority class. In this paper, we demonstrate how variable discretization and cost-sensitive logistic regression help mitigate this bias on an imbalanced credit scoring datas... ...
