Benchmark d166d3b19a87
| Parameter | Value |
|---|---|
| Benchmark hash | d166d3b19a87 |
| Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
| Dataset | CESNET-TimeSeries24 |
| Aggregation | AGG_1_HOUR |
| Source | INSTITUTION_SUBNETS |
| 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 | 1.0 |
| Related work | Model | Average RMSE | Std RMSE | Average R2-score | Std R2-score |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2503.17410 | GRU | 0.218 | 1.14 | -0.1 | 1.3 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.217 | 1.15 | 0.06 | 0.8 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.23 | 1.15 | -1.29 | 3.1 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.219 | 1.15 | -0.05 | 1.1 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.217 | 1.15 | 0.08 | 0.8 |
| https://arxiv.org/abs/2503.17410 | MEAN | 0.383 | 1.63 | 0.12 | 0.2 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.323 | 1.5 | 0.08 | 1.1 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.22 | 1.15 | -0.15 | 1.4 |