Plot | Roc Curve Excel

From the ROC curve, you can also choose the – often the point closest to the top-left corner (0,1) where sensitivity is high and FPR is low.

To build an ROC curve, you need a set of classification thresholds. Typically, we use each unique predicted probability as a candidate threshold. plot roc curve excel

Let’s say your AUC = 0.87. This means there’s an 87% chance that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one. From the ROC curve, you can also choose