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X-axis: predicted probabilities
True Positive Rate = true positives / all positives
ROC curve visualizes all possible thresholds
AUC - Area Under the Curve
ROC curves can be extended to problems with three or more classes
Choosing a classification threshold is a business decision: minimize False Positive Rate or maximize True Positive Rate