关键词: ROC分析, 机器学习, 分类算法, 正确率

Abstract: 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.

Key words: ROC analysis, Machine Learning, Classifier, Accuracy