Unverified50% confidenceBenchmarkExact time
The normalized mean absolute error of HiPredict is 1.1%, significantly better than SYN4's 3.1%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
Unverified多项研究表明，多智能体系统中的错误传播率可达单Agent的3-5倍67% similarUnverifiedCompared to the historical mean baseline, entry-level and turn-level predictions reduced mean absolute error (MAE) by 4.03% and 3.92%, respectively.66% similarUnverifiedIn the specific experimental case, the overlapping-anchor scheme (n=912) showed the model at 55.2% versus the majority class at 51.1%, a net advantage of +4.1pp, about 2.4 standard errors; the non-overlapping-anchor scheme (n=163) showed 59.5% versus 54.0%, a net advantage of +5.5pp, about 1.4 standard errors.64% similarUnverifiedB1 made 181 predictions with confidence no lower than 0.9, of which 1 was wrong; B2 made 188, of which 2 were wrong; a better average does not automatically mean fewer high-confidence errors, and 0.9 is not a ready-made production threshold.64% similarUnverifiedThe error rate of manual data entry is typically between 0.5% and 4%, and the error rate is higher for tasks involving complex judgment.63% similar
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