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![Create and compare ROC curves for any predictive model](https://blogs.sas.com/content/iml/files/2018/11/ROCOutside3-480x336.png)
An ROC curve graphically summarizes the tradeoff between true positives and true negatives for a rule or model that predicts a binary response variable. An ROC curve is a parametric curve that is constructed by varying the cutpoint value at which estimated probabilities are considered to predict the binary event.