Time-series forecasting on Average All Benchmarks 10% data
0.372MSETIME-LLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.43, Eff.*MAE=0.402026.03 | 0.372 | 0.392 | |
| GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.21, Eff.*MAE=0.212026.03 | 0.4 | 0.4 | |
| TESTParameters (M)=2.00, Memory (MiB)=701, Eff.*MSE=1.24, Eff.*MAE=1.262026.03 | 0.404 | 0.398 | |
| One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=4.37, Eff.*MAE=4.482026.03 | 0.416 | 0.406 | |
| EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.122026.03 | 0.516 | 0.492 | |
| TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=3.02, Eff.*MAE=3.462026.03 | 0.526 | 0.458 | |
| TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.88, Eff.*MAE=1.052026.03 | 0.566 | 0.472 | |
| AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.13, Eff.*MAE=0.162026.03 | 0.726 | 0.6 | |
| ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.25, Eff.*MAE=0.312026.03 | 0.764 | 0.622 | |
| InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.092026.03 | 2.046 | 1.016 | |
| ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.08, Eff.*MAE=0.092026.03 | 2.136 | 1.048 |