Time Series Classification on OSULeaf (test)
93.4AccuracyST
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ST#Cls=6, TS_len=427, #Train=200, #Test=2422019.09 | 93.4 | — | |
| LTS#Cls=6, TS_len=427, #Train=200, #Test=2422019.09 | 77.1 | — | |
| GENDIS#Cls=6, TS_len=427, #Train=200, #Test=242, Classifier=Ensemble2019.09 | 76.2 | 45 | |
| GENDIS#Cls=6, TS_len=427, #Train=200, #Test=242, Classifier=Logistic Regression2019.09 | 75.8 | 45 | |
| FS#Cls=6, TS_len=427, #Train=200, #Test=2422019.09 | 67.9 | — | |
| RMN2025.08 | 59.6 | — | |
| ResRMNIRecurrent Matrix=Identity2025.08 | 59.3 | — | |
| ResRMNRRecurrent Matrix=Random2025.08 | 52.8 | — | |
| LeakyESN2025.08 | 52 | — | |
| ResRMNCRecurrent Matrix=Circular2025.08 | 51.7 | — | |
| ResESNIRecurrent Matrix=Identity2025.08 | 51.5 | — | |
| ResESNCRecurrent Matrix=Circular2025.08 | 47.6 | — | |
| ResESNRRecurrent Matrix=Random2025.08 | 41.1 | — |