Time Series Classification on Beef (test)
87AccuracyRMN
Evaluation Results
| Method | Links | |
|---|---|---|
| RMN2025.08 | 87 | |
| ResRMNRRecurrent Matrix=Random2025.08 | 87 | |
| ResRMNIRecurrent Matrix=Identity2025.08 | 81.7 | |
| ResESNRRecurrent Matrix=Random2025.08 | 79 | |
| ResRMNCRecurrent Matrix=Circular2025.08 | 77.7 | |
| ST2019.09 | 73.6 | |
| ResESNCRecurrent Matrix=Circular2025.08 | 73 | |
| LTS2019.09 | 69.8 | |
| LeakyESN2025.08 | 69.3 | |
| DiffTWLength=470, Label=5, Classification Scheme=1-NN2026.06 | 60 | |
| GENDISclassifier=Logistic Regression2019.09 | 58.8 | |
| DTWLength=470, Label=5, Classification Scheme=1-NN2026.06 | 56.67 | |
| GENDISclassifier=Ensemble2019.09 | 51.5 | |
| FS2019.09 | 50.2 | |
| ResESNIRecurrent Matrix=Identity2025.08 | 48.7 |