3Sources
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-view Classification | 3Sources (test) | Balanced Accuracy88.21 | 11 | |
| Multi-view Classification | 3Sources | Acc85.65 | 11 | |
| Multi-label classification | 3sources inter3000 | Subset Accuracy1.8 | 5 | |
| Multi-label classification | 3sources guardian1000 | Subset Accuracy14.23 | 5 | |
| Multi-label classification | 3sources bbc1000 | Subset Accuracy17.86 | 5 | |
| Multi-label classification | 3sources inter3000 | Hamming Loss20.01 | 5 | |
| Multi-label classification | 3sources guardian1000 | Hamming Loss20.37 | 5 | |
| Multi-label classification | 3sources bbc1000 | Hamming Loss0.2155 | 5 | |
| Multi-label classification | 3sources inter3000 | F-Measure22.38 | 5 | |
| Multi-label classification | 3sources bbc1000 | F-Measure36.18 | 5 | |
| Multi-label Classification | 3sources inter3000 | Accuracy15.38 | 5 | |
| Multi-label Classification | 3sources guardian1000 | Accuracy22.43 | 5 | |
| Multi-label Classification | 3sources bbc1000 | Accuracy28.52 | 5 |
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