Multivariate Time Series Classification on Libras (accuracy)
100AccuracyTARNet
Evaluation Results
| Method | Links | |
|---|---|---|
| TARNet2023.11 | 100 | |
| LSTM-FCN2018.01 | 99 | |
| ALSTM-FCN2018.01 | 98 | |
| MLSTM-FCN2017.11 | 97 | |
| MLSTM-FCN2018.01 | 97 | |
| MALSTM-FCN2018.01 | 97 | |
| ARKernel2017.11 | 95.2 | |
| SOTA [25]2018.01 | 95 | |
| LPTM2023.11 | 95 | |
| mvARF2017.11 | 94.5 | |
| HC2Train Size=1802023.05 | 93.33 | |
| ConvTranTrain Size=1802023.05 | 92.77 | |
| ConvTranAvg Train=122023.05 | 92.77 | |
| TS-TCC2023.11 | 92 | |
| CIFTrain Size=1802023.05 | 91.11 | |
| gRSF2017.11 | 91.1 | |
| TST2023.11 | 91 | |
| SMTS2017.11 | 90.9 | |
| LPS2017.11 | 90.3 | |
| WEASEL+MUSE2017.11 | 89.4 | |
| DTWi2017.11 | 88.8 | |
| CRT2023.11 | 88 | |
| ITAvg Train=122023.05 | 87.22 | |
| ROCKETTrain Size=1802023.05 | 86.67 | |
| Disjoint-CNNAvg Train=122023.05 | 85.77 | |
| FCNAvg Train=122023.05 | 85 | |
| TS2Vec2023.11 | 85 | |
| ResNetAvg Train=122023.05 | 83.89 | |
| TSTAvg Train=122023.05 | 82.22 | |
| SimMTM2023.11 | 82 | |
| TimesNet2023.11 | 75 | |
| Informer2023.11 | 72 | |
| Autoformer2023.11 | 64 |