Using an ANOVA and then a post-hoc Tukey HSD test, we see significant improvements at a significance threshold of 0.05 between standard regression approaches and machine learning approaches.

Using an ANOVA and then a post-hoc Tukey HSD test, we see significant improvements at a significance threshold of 0.05 between standard regression approaches and machine learning approaches.通过方差分析（ANOVA）与事后图基HSD（Tukey HSD）检验，我们观察到在显著性阈值为0.05的情况下，标准回归方法与机器学习方法之间存在显著的性能提升差异。