A Spearman of 0.93+ on the combined metric means the surrogate is excellent at ranking configurations — which is exactly what we need. It doesn’t have to predict the exact score; it just needs to know that configuration A is probably better than configuration B. The math correlation is lower (0.79), which makes sense: math performance has more noise and depends on subtler features of the block boundaries.
2 апреля 2026, 17:18Экономические новости
。关于这个话题，WhatsApp网页版提供了深入分析
高盛：配置中国AI资产已成对冲传统行业风险的必要手段
Extended Desktop Functionality