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+{"path":"Attachments/Pasted image 20241118160705.png","text":"AUC is a useful measure for comparing the performance of two different models, as long as the dataset is roughly balanced. (See Precision-recall curve, above, for imbalanced datasets.) The model with greater area under the curve is generally the better one. 10 1.0 x . x . o o E E 0.0 FPR 1.0 00 FPR 1.0 Figure 3. ROC and AUC of two hypothetical models. The curve on the right, with a greater AUC, represents the better of the two models.","libVersion":"0.3.2","langs":"deu+eng+fra"}