Anomaly Detection on Weather (Clean MSE, Anomalous MSE, Discrimination Gap)
0Clean MSETimesNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TimesNetModel Category=Static Baselines, Lookback=60, Horizon=102026.06 | 0 | 0.0655 | 5,035 | |
| TCNModel Category=Static Baselines, Lookback=60, Horizon=102026.06 | 0 | 0.0702 | 1,847 | |
| ResNetBlockModel Category=Synthesized, Lookback=60, Horizon=102026.06 | 0.0001 | 0.082 | 921 | |
| BiGRUModel Category=Synthesized, Lookback=60, Horizon=102026.06 | 0.0001 | 0.0651 | 478 | |
| iTransformerModel Category=Static Baselines, Lookback=60, Horizon=102026.06 | 0.0002 | 0.0917 | 566 | |
| MultiScaleCNNModel Category=Synthesized, Lookback=60, Horizon=102026.06 | 0.0002 | 0.1184 | 551 | |
| L-InceptionModel Category=Synthesized, Lookback=60, Horizon=102026.06 | 0.0003 | 0.0566 | 171 | |
| HybridCNNLSTMModel Category=Synthesized, Lookback=60, Horizon=102026.06 | 0.0012 | 0.1009 | 83 | |
| DLinearModel Category=Static Baselines, Lookback=60, Horizon=102026.06 | 0.0044 | 0.0964 | 22 | |
| LSTMModel Category=Static Baselines, Lookback=60, Horizon=102026.06 | 0.0116 | 0.1114 | 10 |