emotions
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Partial Multi-Label Learning | emotions | Average Precision81.4 | 48 | |
| Partial Multi-Label Learning | emotions | One-Error23.5 | 27 | |
| Partial Multi-Label Learning | emotions | Hamming Loss20.2 | 27 | |
| Partial Multi-Label Learning | emotions | Ranking Loss0.156 | 26 | |
| Partial Multi-Label Learning | emotions (5) | Coverage48.4 | 9 | |
| Partial Multi-Label Learning | emotions avg.#CLs 4 | Coverage46.9 | 9 | |
| Partial Multi-Label Learning | emotions avg.#CLs 3 | Coverage37.1 | 9 | |
| Image sentiment analysis | EMOTIONS | Coverage77.5 | 8 | |
| image sentiment analysis | EMOTIONS | AP68.6 | 8 | |
| Image sentiment analysis | EMOTIONS | Ranking Loss0.272 | 8 | |
| image sentiment analysis | EMOTIONS | Hamming Loss24.6 | 8 | |
| Text Classification | Emotions | Delta Accuracy-0.279 | 6 | |
| Multi-label classification | Emotions | Subset Accuracy23.61 | 5 | |
| Multi-label classification | Emotions | Hamming Loss24.54 | 5 | |
| Multi-label classification | Emotions | F-Measure62.95 | 5 | |
| Multi-label Classification | Emotions | Accuracy53.29 | 5 | |
| Multilabel classification | emotions (test) | Accuracy80.56 | 5 |
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