Unverified50% confidenceBenchmarkExact time
On familiar question forms that had appeared in the training data, the model's AUC for predicting whether a market would reach $1,000 in trading volume still reached 0.778.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
Related Claims
UnverifiedAfter the platform's listing format changed, the AUC for predicting whether a market would reach $1,000 in trading volume dropped from 0.940 in the same period to 0.577 in the cross-period test.75% similarUnverifiedOn this dataset, the histogram gradient boosting model achieves a ROC-AUC of 0.691 (95% CI 0.683–0.700), with a training cost of about 10 seconds.67% similarVerifiedThe value of AUC ranges from 0 to 1, and a higher value indicates stronger classification ability of the model.66% similarUnverifiedIn 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 deployment65% similarUnverifiedThe ranking ability of listing-time features for settlement disputes reached an AUC of 0.78, but the average precision was only 0.012.63% similar
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