Config 63882fe052f8
Parameter | Value |
---|---|
Benchmark hash | 63882fe052f8 |
Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
Dataset | CESNET-TimeSeries24 |
Aggregation | AGG_1_HOUR |
Source | INSTITUTIONS |
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 | 168 |
Sliding window prediction | 1 |
Sliding window step | 1 |
Set shared size | 168 |
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 | 0.105 | 0.53 | 0.03 | 0.9 |
https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.104 | 0.55 | 0.17 | 0.7 |
https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.124 | 0.55 | -1.08 | 2.5 |
https://arxiv.org/abs/2503.17410 | LSTM | 0.106 | 0.54 | 0.1 | 0.7 |
https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.103 | 0.54 | 0.14 | 0.9 |
https://arxiv.org/abs/2503.17410 | MEAN | 0.149 | 0.75 | 0.04 | 0.1 |
https://arxiv.org/abs/2503.17410 | RCLSTM | 0.14 | 0.8 | 0.2 | 0.9 |
https://arxiv.org/abs/2503.17410 | RESNET | 0.127 | 0.55 | -0.63 | 2.2 |