Unverified50% confidenceBenchmarkExact time
On the training samples, the character classification model achieved a macro-averaged AUC of 0.97 and a Cohen's κ of 0.81.
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10/19/2026
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UnverifiedOn the training samples, the character regression model achieved an RMSE of 0.09 and an R² of 0.85.78% 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.71% similarUnverifiedIn that heart disease prediction experiment, the logistic regression model achieved an AUC of 0.89.67% similarUnverifiedUsing the behavioral features of each state for failure prediction, the AUROC on the held-out set reaches as high as 0.94.67% similarUnverifiedResearch on cross-model verification shows that the AUROC for blind spot detection is 0.70, while same-model self-checking is only 0.59.66% similar
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