Config d166d3b19a87
Parameter | Value |
---|---|
Benchmark hash | d166d3b19a87 |
Original paper | https://doi.org/10.48550/arXiv.2503.17410 |
Dataset | CESNET-TimeSeries24 |
Aggregation | AGG_1_HOUR |
Source | INSTITUTION_SUBNETS |
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 | 0.218 | 1.14 | -0.1 | 1.3 |
https://arxiv.org/abs/2503.17410 | GRU_FCN | 0.217 | 1.15 | 0.06 | 0.8 |
https://arxiv.org/abs/2503.17410 | INCEPTIONTIME | 0.23 | 1.15 | -1.29 | 3.1 |
https://arxiv.org/abs/2503.17410 | LSTM | 0.219 | 1.15 | -0.05 | 1.1 |
https://arxiv.org/abs/2503.17410 | LSTM_FCN | 0.217 | 1.15 | 0.08 | 0.8 |
https://arxiv.org/abs/2503.17410 | MEAN | 0.383 | 1.63 | 0.12 | 0.2 |
https://arxiv.org/abs/2503.17410 | RCLSTM | 0.323 | 1.5 | 0.08 | 1.1 |
https://arxiv.org/abs/2503.17410 | RESNET | 0.22 | 1.15 | -0.15 | 1.4 |