Time Series Classification on UEA 18 datasets 70% Missing
69.7AccuracyDualDynamics
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DualDynamics2024.01 | 69.7 | 4.6 | |
| GRU-ODE2024.01 | 65.9 | 6.9 | |
| ODE-RNN2024.01 | 65.3 | 6.5 | |
| Neural CDE2024.01 | 65.2 | 7.3 | |
| GRU-∆t2024.01 | 64.9 | 7.9 | |
| Transformer2024.01 | 64.3 | 8.2 | |
| MTAN2024.01 | 64.2 | 6.8 | |
| ANCDE2024.01 | 63.1 | 7.3 | |
| Neural RDE2024.01 | 60.7 | 8.5 | |
| GRU2024.01 | 60.6 | 8.6 | |
| GRU-D2024.01 | 59.9 | 10.1 | |
| EXIT2024.01 | 56.4 | 10.4 | |
| MIAM2024.01 | 54.4 | 11.1 | |
| LSTM2024.01 | 50.5 | 11.3 | |
| ODE-LSTM2024.01 | 47.4 | 13.4 | |
| RNN2024.01 | 45.3 | 14.4 | |
| LEAP2024.01 | 45.1 | 13.7 | |
| Neural Flow2024.01 | 43.8 | 14.1 | |
| FlowPath2025.11 | 0.718 | 3.5 | |
| DualDynamics2025.11 | 0.697 | 4.6 | |
| GRU-ODE2025.11 | 0.659 | 6.3 | |
| ODE-RNN2025.11 | 0.653 | 5.8 | |
| Neural CDE2025.11 | 0.652 | 7 | |
| GRU-∆t2025.11 | 0.649 | 7.5 | |
| ANCDE2025.11 | 0.631 | 7.1 | |
| Neural RDE2025.11 | 0.607 | 8.2 | |
| GRU2025.11 | 0.606 | 8.1 | |
| GRU-D2025.11 | 0.599 | 9.4 | |
| EXIT2025.11 | 0.564 | 10 | |
| Neural Flow2025.11 | 0.535 | 9.7 | |
| LSTM2025.11 | 0.505 | 10.6 | |
| ODE-LSTM2025.11 | 0.474 | 12.3 | |
| RNN2025.11 | 0.453 | 13.3 | |
| LEAP2025.11 | 0.451 | 12.7 |