Multivariate Time Series Classification on UEA 30% missing rate (test)
74.3AccuracyFlowPath
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FlowPath2025.11 | 74.3 | 3.1 | |
| DualDynamics2024.01 | 72 | 4.9 | |
| DualDynamics2025.11 | 72 | 4.9 | |
| Neural CDE2024.01 | 67.2 | 7.4 | |
| Neural CDE2025.11 | 67.2 | 7.3 | |
| Transformer2024.01 | 66.3 | 8 | |
| GRU-ODE2024.01 | 66.1 | 7.4 | |
| ANCDE2024.01 | 66.1 | 7.1 | |
| GRU-ODE2025.11 | 66.1 | 6.8 | |
| ANCDE2025.11 | 66.1 | 6.8 | |
| Neural RDE2024.01 | 64.8 | 7.4 | |
| Neural RDE2025.11 | 64.8 | 6.9 | |
| GRU2024.01 | 63.9 | 8.4 | |
| GRU2025.11 | 63.9 | 8 | |
| GRU-∆t2024.01 | 63.6 | 8.2 | |
| GRU-∆t2025.11 | 63.6 | 7.6 | |
| MTAN2024.01 | 63.4 | 7.4 | |
| ODE-RNN2024.01 | 63.2 | 7.8 | |
| ODE-RNN2025.11 | 63.2 | 7.3 | |
| MIAM2024.01 | 58.5 | 10 | |
| EXIT2024.01 | 58 | 10.5 | |
| EXIT2025.11 | 58 | 9.8 | |
| GRU-D2024.01 | 57.9 | 10.6 | |
| GRU-D2025.11 | 57.9 | 9.8 | |
| LSTM2024.01 | 55.2 | 10.2 | |
| LSTM2025.11 | 55.2 | 9.4 | |
| Neural Flow2025.11 | 53.1 | 9.9 | |
| ODE-LSTM2024.01 | 51.8 | 12.7 | |
| ODE-LSTM2025.11 | 51.8 | 11.4 | |
| Neural Flow2024.01 | 48.5 | 13.4 | |
| RNN2024.01 | 48.4 | 14.7 | |
| RNN2025.11 | 48.4 | 13.3 | |
| SDE-RNNMissing rate=30%2025.11 | 46.4 | — | |
| LEAP2024.01 | 45.9 | 15.1 | |
| LEAP2025.11 | 45.9 | 13.7 | |
| SDE-SCHAMissing rate=30%2025.11 | 45.6 | — | |
| SDE-TVF-LMissing rate=30%2025.11 | 45.5 | — | |
| SDE-TVF-TMissing rate=30%2025.11 | 45.2 | — | |
| SDE-PYRMissing rate=30%2025.11 | 43.7 | — |