Data Science Fundamentals

ROC curve explained

Learn to visualise a ROC curve in Python

Area under the ROC curve is one of the most useful metrics to evaluate a supervised classification model. This metric is commonly referred to as ROC-AUC. Here, the ROC stands for Receiver Operating Characteristic and AUC stands for Area Under the Curve. In my opinion, AUROCC is a more accurate abbreviation but perhaps doesn’t sound as nice. In the right context, AUC can also imply ROC-AUC even though it can refer to area under any curve.