Benchmark 2439d12c2292
| Parameter | Value |
|---|---|
| Benchmark hash | 2439d12c2292 |
| Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
| Dataset | CESNET-TimeSeries24 |
| Aggregation | AGG_1_HOUR |
| Source | INSTITUTIONS |
| Type | Time-Based |
| Train size | 0.35 |
| Val size | 0.05 |
| Test size | 0.6 |
| Uni/Multi variate | Univariate |
| Metrics | n_bytes |
| Default value | 0 |
| Filler | None |
| Transformer | MinMaxScaler |
| Anomaly handler | None |
| Sliding window train | 24 |
| Sliding window prediction | 1 |
| Sliding window step | 1 |
| Set shared size | 24 |
| TS IDs | 1 |
| Related work | Model | Average RMSE | Std RMSE | Average R2-score | Std R2-score |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2503.17410 | GRU | 0.104 | 0.53 | 0.08 | 0.8 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.102 | 0.55 | 0.15 | 1.0 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.112 | 0.55 | -0.77 | 2.5 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.105 | 0.54 | 0.09 | 0.8 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.102 | 0.54 | 0.19 | 0.7 |
| https://arxiv.org/abs/2503.17410 | MEAN | 0.146 | 0.75 | 0.09 | 0.1 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.14 | 0.8 | 0.2 | 0.9 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.106 | 0.55 | 0.06 | 1.1 |