Receiver Operating Characteristic (ROC) curve is one of the most common graphical tools to diagnose the ability of a binary classifier, independent of the inherent classification algorithm. The ROC analysis has been used in many fields including medicine, radiology, biometrics, natural hazards forecasting, meteorology, model performance assessment, and other areas for many decades and is increasingly used in machine learning and data mining research [1]. If you are a Data Scientist, you might be using it on a daily basis.
1.ROC曲線下總面積（AUC）
2.Examples of problems with full AUC.
資訊詳見：https://towardsdatascience.com/applications-of-different-parts-of-an-roc-curve-b534b1aafb68