Time Series Classification on Car (test)
90.2AccuracyST
Evaluation Results
| Method | Links | |
|---|---|---|
| ST2019.09 | 90.2 | |
| LTS2019.09 | 85.6 | |
| GENDISclassifier=Logistic Regression2019.09 | 83 | |
| GENDISclassifier=Ensemble2019.09 | 82.5 | |
| ResRMNIRecurrent Matrix=Identity2025.08 | 79.1 | |
| RMN2025.08 | 78.7 | |
| DiffTWLength=577, Label=4, Classification Scheme=1-NN2026.06 | 78.33 | |
| ResESNIRecurrent Matrix=Identity2025.08 | 78 | |
| ResRMNRRecurrent Matrix=Random2025.08 | 74.8 | |
| FS2019.09 | 73.6 | |
| ResRMNCRecurrent Matrix=Circular2025.08 | 72.3 | |
| LeakyESN2025.08 | 72 | |
| ResESNCRecurrent Matrix=Circular2025.08 | 65 | |
| ResESNRRecurrent Matrix=Random2025.08 | 64.8 | |
| DTWLength=577, Label=4, Classification Scheme=1-NN2026.06 | 60 |