Cut Off, Lift, Binary Classification, Model Performance, Performance Metrics.
Area Under the Curve (AUC) and ROC-AUC Score This curve plots the true positive rate versus the false positive rate at different classification thresholds, and the area under the curve is between 0 and 1. When predictions are all wrong, this value will be 0, and when predictions are all true, this