Config 2e92831cb502
| Parameter | Value |
|---|---|
| Benchmark hash | 2e92831cb502 |
| Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
| Dataset | CESNET-TimeSeries24 |
| Aggregation | AGG_1_HOUR |
| Source | IP_ADDRESSES_SAMPLE |
| Train size | 0.35 |
| Val size | 0.05 |
| Test size | 0.6 |
| Uni/Multi variate | Univariate |
| Metrics | n_bytes |
| Default value | 0 |
| Filler | None |
| Scaler | MinMaxScaler |
| Sliding window train | 24 |
| Sliding window prediction | 1 |
| Sliding window step | 1 |
| Set shared size | 24 |
| Train TS IDs | 1 |
| Test TS IDs | 0 |
| Related work | Model | Average RMSE | Std RMSE | Average R2-score | Std R2-score |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2503.17410 | GRU | 0.149 | 0.82 | -0.46 | 1.9 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.15 | 0.82 | -0.12 | 1.1 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.165 | 0.82 | -2.7 | 3.9 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.15 | 0.82 | -0.41 | 1.8 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.151 | 0.82 | -0.44 | 1.9 |
| https://arxiv.org/abs/2503.17410 | MEAN | 1.01 | 2.86 | 0.0 | 0.1 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.221 | 1.08 | -0.09 | 1.0 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.152 | 0.82 | -0.81 | 2.4 |