ROC Graphs: Notes and Practical Considerations for Data Mining Researchers

摘要: Receiver Operating Characteristics (ROC) graphs are a useful technique for organizing classifiers and visualizing their performance. ROC commonly used in medical decision making, recent years have been increasingly adopted the machine learning data mining research communities. Although apparently simple, there some common misconceptions pitfalls when using them practice. This article serves both as tutorial introduction to practical guide research.