Short Introduction to ROC curve

Photo by sydney Rae on Unsplash

The Returning Operating Characteristic(ROC) curve, in short, shows the tradeoff between the True Positive Rate(TPR) and False Positive Rate(FPR). It’s a useful relational plot to evaluate a model’s “goodness” for a binary classification problem. The Area Under the Curve(AUC) summarizes the ROC curve to a single metric. The AUC score differs from other metrics such as precision, recall, and accuracy because the AUC score grades the…