Multivariate Time Series Classification on PenDigits (accuracy)
98.71AccuracyConvTran
Evaluation Results
| Method | Links | |
|---|---|---|
| ConvTranTrain Size=74942023.05 | 98.71 | |
| ConvTranAvg Train=7502023.05 | 98.71 | |
| FCNAvg Train=7502023.05 | 98.57 | |
| ROCKETTrain Size=74942023.05 | 98.4 | |
| TS2Vec2023.11 | 98 | |
| ITAvg Train=7502023.05 | 97.97 | |
| HC2Train Size=74942023.05 | 97.91 | |
| ResNetAvg Train=7502023.05 | 97.71 | |
| Disjoint-CNNAvg Train=7502023.05 | 97.08 | |
| MLSTM-FCN2017.11 | 97 | |
| LSTM-FCN2018.01 | 97 | |
| MLSTM-FCN2018.01 | 97 | |
| ALSTM-FCN2018.01 | 97 | |
| MALSTM-FCN2018.01 | 97 | |
| TARNet2023.11 | 97 | |
| TST2023.11 | 97 | |
| TSTAvg Train=7502023.05 | 96.94 | |
| CIFTrain Size=74942023.05 | 96.74 | |
| ARKernel2017.11 | 95.2 | |
| SOTA [25]2018.01 | 95 | |
| TS-TCC2023.11 | 95 | |
| SimMTM2023.11 | 94 | |
| gRSF2017.11 | 93.2 | |
| DTWi2017.11 | 92.7 | |
| mvARF2017.11 | 92.3 | |
| LPTM2023.11 | 92 | |
| SMTS2017.11 | 91.7 | |
| WEASEL+MUSE2017.11 | 91.2 | |
| LPS2017.11 | 90.8 | |
| CRT2023.11 | 88 | |
| Autoformer2023.11 | 86 | |
| Informer2023.11 | 84 | |
| TimesNet2023.11 | 81 |