Time Series Classification On Physionet
평가 지표
AUPRC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | AUPRC |
|---|---|
| as-easy-as-apc-leveraging-self-supervised | 53.3 |
| as-easy-as-apc-leveraging-self-supervised | 53.7 |
| as-easy-as-apc-leveraging-self-supervised | 55.1 |
| set-functions-for-time-series-1 | - |
| latent-odes-for-irregularly-sampled-time | - |
| set-functions-for-time-series-1 | - |
| latent-odes-for-irregularly-sampled-time | - |
| as-easy-as-apc-leveraging-self-supervised | 50.4 |
| as-easy-as-apc-leveraging-self-supervised | - |
| set-functions-for-time-series-1 | - |
| set-functions-for-time-series-1 | - |
| as-easy-as-apc-leveraging-self-supervised | - |
| set-functions-for-time-series-1 | - |
| multi-time-attention-networks-for-irregularly-1 | - |
| recurrent-neural-networks-for-multivariate | - |
| as-easy-as-apc-leveraging-self-supervised | 52 |
| latent-odes-for-irregularly-sampled-time | - |
| as-easy-as-apc-leveraging-self-supervised | 53.8 |
| interpolation-prediction-networks-for-1 | - |
| 모델 20 | - |
| set-functions-for-time-series-1 | - |
| as-easy-as-apc-leveraging-self-supervised | 50.3 |
| as-easy-as-apc-leveraging-self-supervised | 51.4 |
| as-easy-as-apc-leveraging-self-supervised | 53.5 |
| multi-time-attention-networks-for-irregularly-1 | - |
| as-easy-as-apc-leveraging-self-supervised | - |
| self-supervised-transformer-for-multivariate | - |
| as-easy-as-apc-leveraging-self-supervised | 53.1 |