Machine Learning, Heartbeat.
possible classification thresholds. Example: #ROC Curve from sklearn.metrics import roc_curve, roc_auc_score import matplotlib.pyplot as plt y_true = [0, 1, 0, 1, 0] y_score = [0.2, 0.7, 0.9, 0.4, 0.6] fpr, tpr, thresholds = roc_curve(y_true, y_score) plt.plot(fpr, tpr) plt.xlabel('False Positive