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AUC的不一致性分析
引用本文:王书芹,华钢,徐永刚,王永星. AUC的不一致性分析[J]. 徐州师范大学学报(自然科学版), 2013, 0(3): 31-34
作者姓名:王书芹  华钢  徐永刚  王永星
作者单位:[1]江苏师范大学计算机科学与技术学院。江苏徐州221116 [2]中国矿业大学信电学院,江苏徐州221116
基金项目:国家自然科学基金资助项目(51204186),江苏师范大学自然科学基金资助项目(10XLA12)作者简介:
摘    要:AUC(曲线下面积)作为分类器性能的评价指标,得到了广泛的应用.但其存在一定的缺陷.讨论AUC和总误差之间的关系,从而证明了AUC的不一致性.

关 键 词:分类  AUC  不一致

The incoherence of the area under the ROC curve
Wang Shuqin,Hua Gang,Xu Yonggang,Wang Yongxing. The incoherence of the area under the ROC curve[J]. Journal of Xuzhou Normal University(Natural Science Edition), 2013, 0(3): 31-34
Authors:Wang Shuqin  Hua Gang  Xu Yonggang  Wang Yongxing
Affiliation:1. School of Computer Science & Technology,Jiangsu Normal University,Xuzhou 221116,Jiangsu,China; 2. School of Information & Electrical Engineering, China University of Mining & Technology, Xuzhou 221116,Jiangsu,China)
Abstract:The area under the receiver operating characteristic curve (AUC) is a widely used classification perform- ance measure in machine learning. However, there are some disadvantages. In this paper, the relationship between AUC and the total errors is discussed, and the incoherence of AUC is showed.
Keywords:classification  AUC  incoherence
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