Benchmark d82139cd671f
| Parameter | Value |
|---|---|
| Benchmark hash | d82139cd671f |
| 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 | 744 |
| Sliding window prediction | 1 |
| Sliding window step | 1 |
| Set shared size | 744 |
| TS IDs | 1 |
| Related work | Model | Average RMSE | Std RMSE | Average R2-score | Std R2-score |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2503.17410 | GRU | 0.22 | 1.14 | -0.1 | 1.2 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.228 | 1.15 | -0.19 | 1.1 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.253 | 1.15 | -2.19 | 3.4 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.22 | 1.15 | -0.09 | 1.1 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.228 | 1.15 | -0.24 | 1.3 |
| https://arxiv.org/abs/2503.17410 | MEAN | 0.4 | 1.68 | 0.02 | 0.1 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.225 | 1.16 | 0.1 | 1.0 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.255 | 1.15 | -1.05 | 2.5 |