Time-series forecasting on KDD Cup 2018 (test)
0.67MSESegRNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SegRNNPost-Training=false, Forecast Horizons=24, 482025.05 | 0.67 | — | |
| SegRNNPost-Training=true, Forecast Horizons=24, 48, HPO Algorithm=SH2025.05 | 0.67 | 0 | |
| CrossformerPost-Training=true, Forecast Horizons=24, 48, HPO Algorithm=SH2025.05 | 0.7 | 2.25 | |
| CrossformerPost-Training=false, Forecast Horizons=24, 482025.05 | 0.72 | — | |
| DLinearPost-Training=false, Forecast Horizons=24, 482025.05 | 0.74 | — | |
| DLinearPost-Training=true, Forecast Horizons=24, 48, HPO Algorithm=SH2025.05 | 0.74 | 0 | |
| PatchTSTPost-Training=true, Forecast Horizons=24, 48, HPO Algorithm=SH2025.05 | 0.79 | 10.34 | |
| AutoformerPost-Training=true, Forecast Horizons=24, 48, HPO Algorithm=SH2025.05 | 0.86 | 10.59 | |
| PatchTSTPost-Training=false, Forecast Horizons=24, 482025.05 | 0.89 | — | |
| AutoformerPost-Training=false, Forecast Horizons=24, 482025.05 | 0.96 | — |