摘要
ROC(受试者工作特征)分析技术是一种用来衡量分类算法和图示它们性能的技术。与传统的正确率相比,ROC分析更能够全面地描述分类算法的分类性能。该方法具有可信度高,描述客观精确,特别是不受数据环境影响等优势。对国内外这一方法的研究成果进行了较为系统地介绍,详细分析了它的优缺点,最后对这一技术的发展进行了展望。
Receiver Operating Characteristics(ROC) analysis is a technique for organizing classifiers and visualizing their performance.Comparing with general accuracy,ROC could describe the classify capability adequately and be adopted in all conditions. This method has many characteristic such as high reliability,object and accurate describe and especially it cannot be influenced by the data environment.In this paper,we systematically discuss the research achievement and introduce the advantages and shortcomings about ROC analysis.In the end we look forward to its development.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第4期243-248,共6页
Computer Engineering and Applications
基金
教育部回国人员科研启动基金
湖北省教育厅重点项目(2004D006)。~~