Partial Multi-Label Learning on Music-emotion (Average Precision)
63.3Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=5.292026.04 | 63.3 | |
| PML-PLRavg.#CLs=5.292026.04 | 63 | |
| PML-NDavg.#CLs=5.292026.04 | 62.8 | |
| PAMBavg.#CLs=5.292026.04 | 62.6 | |
| FBD-PMLavg.#CLs=5.292026.04 | 61.5 | |
| P-LENFNavg.#CLs=5.292026.04 | 61 | |
| PML-NIavg.#CLs=5.292026.04 | 60.8 | |
| PARTICLEavg.#CLs=5.292026.04 | 50.6 | |
| PML-fpavg.#CLs=5.292026.04 | 43.5 | |
| WSC-PMLAvg#CLS=5.292026.04 | 0.649 | |
| PAMBAvg#CLS=5.292026.04 | 0.626 | |
| PML-LENFNAvg#CLS=5.292026.04 | 0.61 | |
| NLRAvg#CLS=5.292026.04 | 0.61 | |
| PML-NIAvg#CLS=5.292026.04 | 0.608 | |
| FBD-PMLAvg#CLS=5.292026.04 | 0.604 | |
| PML-fpAvg#CLS=5.292026.04 | 0.435 |