Time Series Classification On Japanesevowels
평가 지표
Accuracy
NLL
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy | NLL |
|---|---|---|
| variational-gaussian-processes-with-signature | 0.981 | 0.080 |
| variational-gaussian-processes-with-signature | 0.982 | 0.069 |
| variational-gaussian-processes-with-signature | 0.986 | 0.067 |
| variational-gaussian-processes-with-signature | 0.982 | 0.061 |
| variational-gaussian-processes-with-signature | 0.985 | 0.053 |
| variational-gaussian-processes-with-signature | 0.986 | 0.052 |
| multivariate-lstm-fcns-for-time-series | 0.99 | - |
| seq2tens-an-efficient-representation-of | 0.979 | - |
| seq2tens-an-efficient-representation-of | 0.980 | - |
| improving-position-encoding-of-transformers | 0.9891 | - |