Partial Multi-Label Learning on Music-style (Average Precision)
74.6Average PrecisionWSC-PML
Evaluation Results
| Method | Links | |
|---|---|---|
| WSC-PMLAvg#CLS=6.042026.04 | 74.6 | |
| PML-MAavg.#CLs=6.042026.04 | 74.3 | |
| PML-PLRavg.#CLs=6.042026.04 | 74.2 | |
| PAMBavg.#CLs=6.042026.04 | 74.1 | |
| PAMBAvg#CLS=6.042026.04 | 74.1 | |
| PML-NDavg.#CLs=6.042026.04 | 74 | |
| PML-NIavg.#CLs=6.042026.04 | 73.9 | |
| NLRAvg#CLS=6.042026.04 | 73.9 | |
| PML-NIAvg#CLS=6.042026.04 | 73.9 | |
| FBD-PMLAvg#CLS=6.042026.04 | 73.8 | |
| FBD-PMLavg.#CLs=6.042026.04 | 73.5 | |
| P-LENFNavg.#CLs=6.042026.04 | 73.1 | |
| PML-LENFNAvg#CLS=6.042026.04 | 73.1 | |
| PARTICLEavg.#CLs=6.042026.04 | 65.7 | |
| PML-fpavg.#CLs=6.042026.04 | 47.2 | |
| PML-fpAvg#CLS=6.042026.04 | 47.2 |