Time Series Classification On Auslan
评估指标
Accuracy
NLL
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | 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 |