Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors can have varying c...

中文翻译：

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通过成本敏感学习的 Neyman-Pearson 多类分类


大多数现有的分类方法旨在最小化总体错误分类错误率。然而，在贷款违约预测等应用中，不同类型的错误可能有不同的原因...