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Oct, 2017
面向成本和误差敏感分类的软方法论
Soft Methodology for Cost-and-error Sensitive Classification
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Te-Kang Jan, Da-Wei Wang, Chi-Hung Lin, Hsuan-Tien Lin
TL;DR
本论文提出了一种新颖的代价敏感分类方法,称为软代价敏感分类,通过多准则优化将代价和错误率相结合,可以改善现有的代价敏感分类算法,并且可以考虑加权错误率以解决不平衡分类问题。实验结果表明,该方法在测试错误率和测试代价方面都比现有的代价敏感分类算法更优秀。
Abstract
Many real-world data mining applications need varying cost for different types of classification errors and thus call for
cost-sensitive classification
algorithms. Existing algorithms for
cost-sensitive classification
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