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Config 5d9e6e63cbf0

Parameter Value
Benchmark hash 5d9e6e63cbf0
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 168
Sliding window prediction 24
Sliding window step 24
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 0.237 1.15 -0.55 1.4
https://arxiv.org/abs/2503.17410 GRU_FCN 0.229 1.15 -0.27 1.1
https://arxiv.org/abs/2503.17410 INCEPTIONTIME 0.59 1.1 -8.9 2.7
https://arxiv.org/abs/2503.17410 LSTM 0.237 1.15 -0.53 1.3
https://arxiv.org/abs/2503.17410 LSTM_FCN 0.231 1.15 -0.55 1.8
https://arxiv.org/abs/2503.17410 MEAN 0.394 1.66 0.05 0.1
https://arxiv.org/abs/2503.17410 RCLSTM 0.334 1.48 -0.64 1.9
https://arxiv.org/abs/2503.17410 RESNET 0.244 1.15 -0.77 1.6