Time Series Classification on UEA time series classification archive (test)
76.5Average AccuracyFusAD
Evaluation results
| Method | Links | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FusADParadigm=case-by-case2025.12 | 76.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.236 | 14 | |
| FreRAParadigm=case-by-case2025.12 | 75.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.617 | 6 | |
| TVNetParadigm=case-by-case2025.12 | 74.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.987 | 4 | |
| RF-CDEN (Number of random features)=2502025.12 | 74.1 | 35.8 | — | 33.1 | — | — | — | 87.7 | 55.5 | — | 84.4 | 96.7 | 46.7 | 100 | 97.2 | 63 | 97.1 | 55 | 91.1 | 94.4 | 80.9 | 66.7 | 3.062 | — | |
| TS-GACParadigm=case-by-case2025.12 | 73.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.54 | 1 | |
| SigPDEtype=kernel baseline (no random features)2025.12 | 73.8 | 46 | — | 40.9 | — | — | — | 90.4 | 54.4 | — | 86.6 | 98.3 | 33.3 | 100 | 97.2 | 79.4 | 89.1 | 61 | 86.7 | 92.8 | 84.9 | 40 | 2.562 | — | |
| Data2VecParadigm=case-by-case2025.12 | 73.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.863 | 1 | |
| Primal.+Trans.variant=last layer replaced by Primal-Attention, backbone=Transformer2023.05 | 73.1 | 35.4 | 63.8 | 28.7 | 77.1 | 98.9 | 90.2 | 92.5 | 56.1 | 100 | 88.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Flowformer2023.05 | 73 | 33.8 | 67.6 | 33.8 | 77.6 | 98.9 | 83.8 | 92.5 | 56.1 | 98.8 | 86.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Primal.variant=all attention layers are implemented with Primal-Attention2023.05 | 73 | 33.1 | 67.1 | 29.6 | 76.1 | 98.4 | 89.6 | 92.5 | 57.2 | 100 | 86.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PatchTSTParadigm=case-by-case2025.12 | 73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 5.821 | 0 | |
| TimesNetParadigm=case-by-case2025.12 | 72.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.975 | 0 | |
| RFSF-DPN (Number of random features)=2502025.12 | 72.6 | 43 | — | 38 | — | — | — | 88.7 | 48.3 | — | 85.6 | 97.7 | 40 | 97.5 | 97.2 | 78.6 | 94.2 | 57 | 83.3 | 88.9 | 82.9 | 40 | 3.406 | — | |
| RFSF-TRPN (Number of random features)=2502025.12 | 72.5 | 40.7 | — | 36.2 | — | — | — | 90.4 | 49.4 | — | 85.3 | 98.3 | 26.6 | 97.5 | 95.8 | 77.1 | 94.2 | 53 | 90.6 | 90.6 | 80.9 | 53.3 | 3.594 | — | |
| Linear Transformer2023.05 | 72.4 | 31.9 | 67 | 34.7 | 76.6 | 99.2 | 82.1 | 92.5 | 56.7 | 98 | 85 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOSO-E2023.05 | 72.2 | 31.2 | 67.3 | 30.9 | 76.5 | 98.6 | 85.2 | 91.1 | 53.9 | 98.9 | 88.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SOFT2023.05 | 72.2 | 33.5 | 67.1 | 34.7 | 75.6 | 99.2 | 80.9 | 91.8 | 55.6 | 98.8 | 85 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Longformer2023.05 | 72 | 32.3 | 62.6 | 39.6 | 78 | 98.9 | 83.8 | 90.1 | 55.6 | 94.4 | 87.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Transformer2023.05 | 71.9 | 32.7 | 67.3 | 32 | 76.1 | 98.7 | 82.1 | 92.2 | 53.9 | 98.4 | 85.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Performer2023.05 | 71.9 | 31.2 | 67 | 32.1 | 75.6 | 98.1 | 80.9 | 91.5 | 56.7 | 98.4 | 85.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Reformer2023.05 | 71.5 | 31.9 | 68.6 | 27.4 | 77.1 | 97.8 | 82.7 | 90.4 | 56.7 | 97 | 85.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| cosFormer2023.05 | 71.5 | 32.3 | 64.8 | 28.9 | 77.1 | 98.3 | 83.2 | 91.1 | 55 | 98.4 | 85.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| R-RDEN (Number of random features)=2502025.12 | 70.8 | 37.3 | — | 33.1 | — | — | — | 84 | 56.7 | — | 90.3 | 95.7 | 46.7 | 100 | 90.2 | 61.2 | 93.5 | 53 | 86.7 | 90.6 | 73.7 | 40 | 4.125 | — | |
| TS2VecParadigm=case-by-case2025.12 | 70.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 6.31 | 2 | |
| R-CDEN (Number of random features)=2502025.12 | 69.5 | 31.2 | — | 33.1 | — | — | — | 87.7 | 55.5 | — | 85.3 | 95 | 33.3 | 100 | 97.2 | 42 | 93.5 | 55 | 88.9 | 87.2 | 80.9 | 46.7 | 4.25 | — | |
| TNCParadigm=case-by-case2025.12 | 67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 7.233 | 0 | |
| TS-TCCParadigm=case-by-case2025.12 | 66.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 6.622 | 0 |