Unverified50% confidenceBenchmarkExact time
Simulation experiments and real data analysis show that MAS performs comparably to or even better than existing methods in all three dimensions: FDR control, computational efficiency, and statistical power.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
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Related Claims
UnverifiedIn imbalanced classification problems, a model can achieve very high accuracy even by predicting all samples as the majority class, so it is necessary to shift to more discriminative metrics such as precision-recall curves, F1 score, Matthews correlation coefficient, or AUC-ROC62% similarUnverifiedResearch shows that, for the same task, an optimized prompt can improve model output quality by 30%–50% compared to arbitrary input.60% similarUnverifiedWhen multiple models are tied on accuracy, the cost per flawless run becomes the truly useful tiebreaker metric.59% similarUnverifiedThe study conducted experiments on ten synthetic instances and two dataset-based Gaussian benchmarks, comparing the optimized schedule with the original SR over a finite time horizon.59% similarUnverified统计功效（Statistical Power）通常设为 80% 以上，多重比较问题可通过 Bonferroni 校正或 FDR 控制等方法调整59% similar
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