Partial Multi-Label Learning on yeast (Ranking Loss)
0.156Ranking LossWSC-PML
Evaluation Results
| Method | Links | |
|---|---|---|
| WSC-PMLAvg#CLS=1.392026.04 | 0.156 | |
| PML-MAAverage Candidate Labels=72026.04 | 0.171 | |
| WSC-PMLAvg#CLS=72026.04 | 0.173 | |
| PML-LENFNAvg#CLS=1.392026.04 | 0.178 | |
| PML-LENFNAvg#CLS=72026.04 | 0.178 | |
| PML-MAAverage Candidate Labels=92026.04 | 0.179 | |
| WSC-PMLAvg#CLS=92026.04 | 0.18 | |
| FBD-PMLAvg#CLS=72026.04 | 0.181 | |
| FBD-PMLAvg#CLS=1.392026.04 | 0.182 | |
| PML-NIAvg#CLS=72026.04 | 0.184 | |
| PML-fpAvg#CLS=72026.04 | 0.185 | |
| NLRAvg#CLS=72026.04 | 0.186 | |
| PAMBAvg#CLS=1.392026.04 | 0.187 | |
| PML-fpAvg#CLS=1.392026.04 | 0.187 | |
| NLRAvg#CLS=1.392026.04 | 0.189 | |
| PML-LENFNAvg#CLS=92026.04 | 0.19 | |
| WSC-PMLAvg#CLS=112026.04 | 0.192 | |
| PML-NIAvg#CLS=1.392026.04 | 0.193 | |
| PML-fpAvg#CLS=92026.04 | 0.196 | |
| FBD-PMLAvg#CLS=92026.04 | 0.197 | |
| PML-NIAvg#CLS=92026.04 | 0.202 | |
| NLRAvg#CLS=92026.04 | 0.207 | |
| WSC-PMLAvg#CLS=1.042026.04 | 0.209 | |
| PML-LENFNAvg#CLS=112026.04 | 0.209 | |
| PAMBAvg#CLS=92026.04 | 0.211 | |
| PAMBAvg#CLS=72026.04 | 0.214 | |
| PAMBAvg#CLS=112026.04 | 0.217 | |
| PML-fpAvg#CLS=112026.04 | 0.219 | |
| FBD-PMLAvg#CLS=112026.04 | 0.223 | |
| PML-NIAvg#CLS=112026.04 | 0.231 | |
| PML-LENFNAvg#CLS=1.042026.04 | 0.235 | |
| NLRAvg#CLS=112026.04 | 0.235 | |
| NLRAvg#CLS=1.042026.04 | 0.239 | |
| FBD-PMLAvg#CLS=1.042026.04 | 0.245 | |
| PML-NIAvg#CLS=1.042026.04 | 0.247 | |
| PML-fpAvg#CLS=1.042026.04 | 0.249 | |
| PAMBAvg#CLS=1.042026.04 | 0.253 |