Unverified50% confidenceOpinionExact time
In mature risk control models, an AUC improvement of 0.01 often means a substantial change in the bad debt rate or approval rate.
1
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50%
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Long-term
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10/13/2026
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Related Claims
UnverifiedIn credit risk scenarios, if training samples include repayment records updated after the application occurred, the model's AUC may be artificially inflated by 5 to 10 percentage points, with performance dropping sharply after deployment68% similarVerifiedAccording to common industry standards, AUC > 0.9 is excellent, 0.8–0.9 is good, 0.7–0.8 is fair, 0.5–0.7 is poor, and 0.5 is equivalent to random guessing.67% similarUnverifiedWhen the ratio of positive to negative samples is extreme, the area under the PR curve (AUPRC) is often more revealing of true performance than AUC.66% similarUnverifiedAUC is a comprehensive evaluation metric for binary classification models, with a value range of 0.5 to 1.0; it is not affected by class imbalance, and in clinical prediction, an AUC of 0.7–0.8 has some reference value, 0.8–0.9 is considered good, and above 0.9 is considered excellent.65% similarUnverifiedAUC的取值范围在0到1之间，数值越大代表模型分类能力越强64% similar
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