ETTm2 is sampled at 15-minute intervals from the same station as ETTh2. Results reported as averages across prediction horizons {96, 192, 336, 720}.
Mae is the reported evaluation metric for ETTm2. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | TimesFM | verified | 0.35 | 2025 | Paper ↗ | Looks wrong? |
| 02 | Chronos-Large | verified | 0.34 | 2025 | Paper ↗ | Looks wrong? |
| 03 | TimeLLM | verified | 0.33 | 2024 | Paper ↗Code ↗Source ↗ | Looks wrong? |
Mse is the reported evaluation metric for ETTm2. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | TimesFM | verified | 0.33 | 2025 | Paper ↗ | Looks wrong? |
| 02 | Chronos-Large | verified | 0.29 | 2025 | Paper ↗ | Looks wrong? |
| 03 | TimeLLM | verified | 0.27 | 2024 | Paper ↗Code ↗Source ↗ | Looks wrong? |