Multivariate Time Series Classification on ArabicDigits (Accuracy)
100AccuracyLSTM-FCN
Evaluation Results
| Method | Links | |
|---|---|---|
| LSTM-FCN2018.01 | 100 | |
| MLSTM-FCN2018.01 | 100 | |
| ConvTranAvg Train=6602023.05 | 99.45 | |
| WEASEL+MUSE2017.11 | 99.2 | |
| MLSTM-FCN2017.11 | 99 | |
| ALSTM-FCN2018.01 | 99 | |
| MALSTM-FCN2018.01 | 99 | |
| SOTA [27]2018.01 | 99 | |
| ARKernel2017.11 | 98.8 | |
| ITAvg Train=6602023.05 | 98.72 | |
| Disjoint-CNNAvg Train=6602023.05 | 98.59 | |
| FCNAvg Train=6602023.05 | 98.36 | |
| ResNetAvg Train=6602023.05 | 98.32 | |
| gRSF2017.11 | 97.5 | |
| TSTAvg Train=6602023.05 | 97.49 | |
| LPS2017.11 | 97.1 | |
| SMTS2017.11 | 96.4 | |
| mvARF2017.11 | 95.2 | |
| DTWi2017.11 | 90.8 |