For the complete documentation index, see llms.txt. This page is also available as Markdown.
ROC and AUC
Receiver Operating Characteristic Curve, Area Under Curve
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).
