Benchmark 394603854070
| Parameter | Value |
|---|---|
| Benchmark hash | 394603854070 |
| Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
| Dataset | CESNET-TimeSeries24 |
| Aggregation | AGG_1_HOUR |
| Source | IP_ADDRESSES_SAMPLE |
| 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 | 168 |
| Sliding window prediction | 24 |
| Sliding window step | 24 |
| Set shared size | 168 |
| TS IDs | 1.0 |
| Related work | Model | Average RMSE | Std RMSE | Average R2-score | Std R2-score |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2503.17410 | GRU | 0.154 | 0.82 | -0.31 | 1.5 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.154 | 0.82 | -0.61 | 2.1 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.573 | 0.77 | -9.22 | 2.5 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.154 | 0.82 | -0.35 | 1.6 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.158 | 0.82 | -1.28 | 3.0 |
| https://arxiv.org/abs/2503.17410 | MEAN | 1.011 | 2.86 | 0.01 | 0.1 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.247 | 1.17 | -0.99 | 2.6 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.159 | 0.82 | -0.92 | 2.6 |