![[MINI] Receiver Operating Characteristic (ROC) Curve](https://static.libsyn.com/p/assets/b/5/4/e/b54ed8edc55ae466/roc-curve.png)
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Show Notes
An ROC curve is a plot that compares the trade off of true positives and false positives of a binary classifier under different thresholds. The area under the curve (AUC) is useful in determining how discriminating a model is. Together, ROC and AUC are very useful diagnostics for understanding the power of one's model and how to tune it.