Time Series Classification On Cmusubject16
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 | 1.000 | 0.088 |
| multivariate-lstm-fcns-for-time-series | 1 | - |
| variational-gaussian-processes-with-signature | 0.993 | 0.089 |
| variational-gaussian-processes-with-signature | 0.979 | 0.089 |
| seq2tens-an-efficient-representation-of | 1 | - |
| variational-gaussian-processes-with-signature | 1.000 | 0.040 |
| variational-gaussian-processes-with-signature | 0.924 | 0.270 |
| seq2tens-an-efficient-representation-of | 1 | - |
| variational-gaussian-processes-with-signature | 0.897 | 0.255 |