Time Series Classification On Libras
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 | 0.742 | 1.110 |
| variational-gaussian-processes-with-signature | 0.921 | 0.320 |
| variational-gaussian-processes-with-signature | 0.923 | 0.259 |
| variational-gaussian-processes-with-signature | 0.698 | 1.608 |
| tsem-temporally-weighted-spatiotemporal | 0.372 | - |
| seq2tens-an-efficient-representation-of | 0.773 | - |
| seq2tens-an-efficient-representation-of | 0.957 | - |
| variational-gaussian-processes-with-signature | 0.776 | 0.911 |
| multivariate-lstm-fcns-for-time-series | 0.97 | - |
| variational-gaussian-processes-with-signature | 0.899 | 0.346 |