Cut Off, Lift, Binary Classification, Model Performance, Performance Metrics.
value will be 1. AUC measures how well predictions rank and represents the probability that a randomly selected churn sample has a higher score than a randomly selected non-churn sample. It provides a comprehensive measure of performance. def plot_roc_curve(true_y, y_prob): fpr, tpr, thresholds =