Table 6 Statistical significance analysis of QFreqFormer against baseline models (forecast horizon = 336). Values represent p-values from 10 paired runs. Statistically significant differences at \(p<0.05\) are shown in blue.
From: Quantum-enhanced dual-layer graph attention network for time-series forecasting
Comparison method | Paired t-test (p-value) | Wilcoxon Test (p-value) |
|---|---|---|
QFreqFormer vs. PatchTST | 0.0021 | 0.0033 |
QFreqFormer vs. DLinear | 0.0045 | 0.0079 |
QFreqFormer vs. Informer | 0.0006 | 0.0004 |
QFreqFormer vs. FEDformer | 0.0018 | 0.0026 |
QFreqFormer vs. Autoformer | 0.0029 | 0.0041 |