Partial Multi-Label Learning on Mirflickr (Average Precision)
83.3Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=3.352026.04 | 83.3 | |
| PML-PLRavg.#CLs=3.352026.04 | 82.5 | |
| WSC-PMLAvg#CLS=3.352026.04 | 82.1 | |
| PML-NDavg.#CLs=3.352026.04 | 82 | |
| FBD-PMLavg.#CLs=3.352026.04 | 81.5 | |
| PARTICLEavg.#CLs=3.352026.04 | 81.3 | |
| PAMBAvg#CLS=3.352026.04 | 80.7 | |
| P-LENFNavg.#CLs=3.352026.04 | 79.8 | |
| PML-LENFNAvg#CLS=3.352026.04 | 79.8 | |
| PML-fpavg.#CLs=3.352026.04 | 79.2 | |
| PML-fpAvg#CLS=3.352026.04 | 79.2 | |
| PAMBavg.#CLs=3.352026.04 | 79.1 | |
| PML-NIavg.#CLs=3.352026.04 | 78.6 | |
| FBD-PMLAvg#CLS=3.352026.04 | 78.6 | |
| NLRAvg#CLS=3.352026.04 | 78.6 | |
| PML-NIAvg#CLS=3.352026.04 | 78.6 |