Time Series Classification on Wine (test)
92.6AccuracyST
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ST#Cls=2, TS_len=234, #Train=57, #Test=542019.09 | 92.6 | — | |
| GENDIS#Cls=2, TS_len=234, #Train=57, #Test=54, Classifier=Ensemble2019.09 | 86.5 | 39 | |
| GENDIS#Cls=2, TS_len=234, #Train=57, #Test=54, Classifier=Logistic Regression2019.09 | 86.4 | 39 | |
| ResRMNRRecurrent Matrix=Random2025.08 | 86.1 | — | |
| ResRMNCRecurrent Matrix=Circular2025.08 | 84.3 | — | |
| ResRMNIRecurrent Matrix=Identity2025.08 | 82.2 | — | |
| RMN2025.08 | 81.5 | — | |
| ResESNCRecurrent Matrix=Circular2025.08 | 81.3 | — | |
| ResESNRRecurrent Matrix=Random2025.08 | 80.4 | — | |
| FS#Cls=2, TS_len=234, #Train=57, #Test=542019.09 | 79.4 | — | |
| LeakyESN2025.08 | 69.3 | — | |
| ResESNIRecurrent Matrix=Identity2025.08 | 68.5 | — | |
| LTS#Cls=2, TS_len=234, #Train=57, #Test=542019.09 | 52.4 | — |