Partial Multi-Label Learning on YeastBP (Average Precision)
43.6Average PrecisionWSC-PML
Evaluation results
| Method | Links | |
|---|---|---|
| WSC-PMLAvg#CLS=5.932026.04 | 43.6 | |
| PML-MAavg.#CLs=5.932026.04 | 41.8 | |
| PML-PLRavg.#CLs=5.932026.04 | 41 | |
| PML-NDavg.#CLs=5.932026.04 | 40.6 | |
| PML-NIavg.#CLs=5.932026.04 | 40.4 | |
| PML-LENFNAvg#CLS=5.932026.04 | 40.4 | |
| PML-NIAvg#CLS=5.932026.04 | 40.4 | |
| NLRAvg#CLS=5.932026.04 | 40.1 | |
| FBD-PMLavg.#CLs=5.932026.04 | 38 | |
| PAMBavg.#CLs=5.932026.04 | 35.6 | |
| PAMBAvg#CLS=5.932026.04 | 35.6 | |
| FBD-PMLAvg#CLS=5.932026.04 | 34.2 | |
| P-LENFNavg.#CLs=5.932026.04 | 33.9 | |
| PML-fpavg.#CLs=5.932026.04 | 28.6 | |
| PML-fpAvg#CLS=5.932026.04 | 28.6 | |
| PARTICLEavg.#CLs=5.932026.04 | 10.8 |