Benchmark 420d4303f949
| Parameter | Value |
|---|---|
| Benchmark hash | 420d4303f949 |
| 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 | 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 | 0.15 | 0.82 | -0.38 | 1.7 |
| https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.153 | 0.82 | -0.25 | 1.3 |
| https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.183 | 0.82 | -3.57 | 4.2 |
| https://arxiv.org/abs/2503.17410 | LSTM | 0.151 | 0.82 | -0.39 | 1.8 |
| https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.154 | 0.82 | -0.62 | 2.2 |
| https://arxiv.org/abs/2503.17410 | MEAN | 1.013 | 2.86 | -0.08 | 0.9 |
| https://arxiv.org/abs/2503.17410 | RCLSTM | 0.166 | 0.89 | -0.29 | 1.6 |
| https://arxiv.org/abs/2503.17410 | RESNET | 0.163 | 0.82 | -1.17 | 3.0 |