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Three-group classification with unequal misclassification costs: a mathematical programming approach

机译:具有不平等分类错误成本的三组分类:一种数学编程方法

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摘要

Mathematical programming approaches to the statistical classification problem have attracted considerable research interest since the early 1980s. In this paper a mixed-integer programming model is proposed for the minimization of misclassification costs in the three-group problem. In the proposed model, distinct costs c(h|g) can be assigned to the misclassification of an observation from one group to either of the other two groups.
机译:自1980年代初以来,用于统计分类问题的数学编程方法就引起了相当大的研究兴趣。为了最小化三组问题中的误分类成本,本文提出了一种混合整数规划模型。在提出的模型中,可以将明显的成本c(h | g)分配给观察结果从一组到另一组的错误分类。

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