Time Series Classification On Auslan
Metrics
Accuracy
NLL
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy | NLL |
|---|---|---|
| variational-gaussian-processes-with-signature | 0.978 | 0.123 |
| seq2tens-an-efficient-representation-of | 0.993 | - |
| variational-gaussian-processes-with-signature | 0.784 | 1.900 |
| multivariate-lstm-fcns-for-time-series | 0.96 | - |
| variational-gaussian-processes-with-signature | 0.925 | 0.550 |
| seq2tens-an-efficient-representation-of | 0.969 | - |
| variational-gaussian-processes-with-signature | 0.880 | 0.650 |
| variational-gaussian-processes-with-signature | 0.983 | 0.106 |
| variational-gaussian-processes-with-signature | 0.949 | 0.248 |