ROC (Receiver Operation Characteristics) – curve is a graph that shows how classifiers performs by plotting the true positive and false positive rates. It is used to evaluate the performance of binary classification models by illustrating the trade-off between True positive rate (TPR) and False positive rate (FPR) at various threshold settings.
Read on to see how you can generate one in a Microsoft Fabric notebook. Tomaz also plots a density function for additional fun.