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  1. Statistics ↓↑

ROC and AUC

Receiver Operating Characteristic Curve, Area Under Curve

PreviousF1 Score (F Measure)NextRandom Variable

Last updated 5 years ago

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ROC Curve Is the plot of Sensitivity/TPR (Y axis) vs (1-Specificity)/FPR (X axis). It is a graphical plot that illustrates the diagnostic ability of a binary classifier, as its discrimination threshold is varied.

AUC is a metric for how well a model fit the data (1 being absolutely perfect fit).