Partial Multi-Label Learning on Music-style
0.132Ranking LossWSC-PML
Evaluation Results
| Method | Links | |
|---|---|---|
| WSC-PMLAvg#CLS=6.042026.04 | 0.132 | |
| PAMBAverage Candidate Labels=6.042026.04 | 0.135 | |
| PAMBAvg#CLS=6.042026.04 | 0.135 | |
| PML-PLRAverage Candidate Labels=6.042026.04 | 0.136 | |
| PML-MAAverage Candidate Labels=6.042026.04 | 0.137 | |
| PML-NDAverage Candidate Labels=6.042026.04 | 0.137 | |
| PML-NIAverage Candidate Labels=6.042026.04 | 0.137 | |
| FBD-PMLAvg#CLS=6.042026.04 | 0.137 | |
| PML-NIAvg#CLS=6.042026.04 | 0.137 | |
| FBD-PMLAverage Candidate Labels=6.042026.04 | 0.138 | |
| P-LENFNAverage Candidate Labels=6.042026.04 | 0.138 | |
| PML-LENFNAvg#CLS=6.042026.04 | 0.138 | |
| NLRAvg#CLS=6.042026.04 | 0.138 | |
| PARTICLEAverage Candidate Labels=6.042026.04 | 0.221 | |
| PML-fpAverage Candidate Labels=6.042026.04 | 0.445 | |
| PML-fpAvg#CLS=6.042026.04 | 0.445 |