Time Series Classification On Arabicdigits
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
모델 이름 | Accuracy |
---|---|
seq2tens-an-efficient-representation-of | 0.968 |
multivariate-lstm-fcns-for-time-series | 0.99 |
variational-gaussian-processes-with-signature | 0.984 |
seq2tens-an-efficient-representation-of | 0.993 |
variational-gaussian-processes-with-signature | 0.985 |
variational-gaussian-processes-with-signature | 0.994 |
variational-gaussian-processes-with-signature | 0.986 |
variational-gaussian-processes-with-signature | 0.979 |
variational-gaussian-processes-with-signature | 0.992 |
improving-position-encoding-of-transformers | 0.9945 |