Multivariate Time Series Classification on SelfRegSCP1
91.8AccuracyConvTran
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ConvTranTrain size=2682023.05 | 91.8 | 45.54 | 0.27 | |
| ConvTranTrain Size=2682023.05 | 91.8 | — | — | |
| ConvTranAvg Train=1342023.05 | 91.8 | — | — | |
| HC2Train Size=2682023.05 | 89.08 | — | — | |
| Disjoint-CNNAvg Train=1342023.05 | 88.39 | — | — | |
| StandardAttention mechanism=Standard2026.03 | 88.05 | — | — | |
| QUESTAttention mechanism=QUEST2026.03 | 88.05 | — | — | |
| LinOSS2025.06 | 87.8 | — | — | |
| S52025.06 | 87.1 | — | — | |
| ITAvg Train=1342023.05 | 86.34 | — | — | |
| ROCKETTrain size=2682023.05 | 86.01 | 10.2 | 11.25 | |
| ROCKETTrain Size=2682023.05 | 86.01 | — | — | |
| CIFTrain Size=2682023.05 | 86.01 | — | — | |
| TSTAvg Train=1342023.05 | 86 | — | — | |
| LRU2025.06 | 84.5 | — | — | |
| ResNetAvg Train=1342023.05 | 83.62 | — | — | |
| WARPmode=recurrent non-AR2025.06 | 83.53 | — | — | |
| S62025.06 | 82.8 | — | — | |
| Log-NCDE2025.06 | 82.1 | — | — | |
| Mamba2025.06 | 80.7 | — | — | |
| NCDE2025.06 | 80 | — | — | |
| Griffin2025.06 | 80 | — | — | |
| FCNAvg Train=1342023.05 | 78.16 | — | — | |
| NRDE2025.06 | 76.7 | — | — | |
| FACTS2025.06 | 73.3 | — | — |