Partial Multi-Label Learning on recreation (Average Precision)
60Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=72026.04 | 60 | |
| PML-PLRavg.#CLs=72026.04 | 59.9 | |
| PML-NDavg.#CLs=72026.04 | 59.5 | |
| FBD-PMLavg.#CLs=72026.04 | 59 | |
| PML-fpavg.#CLs=72026.04 | 58.9 | |
| PML-MAavg.#CLs=92026.04 | 58 | |
| PML-PLRavg.#CLs=92026.04 | 57 | |
| PML-NDavg.#CLs=92026.04 | 56.5 | |
| FBD-PMLavg.#CLs=92026.04 | 56 | |
| PML-MAavg.#CLs=112026.04 | 55.7 | |
| PML-PLRavg.#CLs=112026.04 | 54.5 | |
| P-LENFNavg.#CLs=72026.04 | 54.1 | |
| PML-NDavg.#CLs=112026.04 | 53.5 | |
| PML-fpavg.#CLs=92026.04 | 53.4 | |
| FBD-PMLavg.#CLs=112026.04 | 52.5 | |
| PAMBavg.#CLs=72026.04 | 51.9 | |
| PML-fpavg.#CLs=112026.04 | 51.4 | |
| PML-NIavg.#CLs=72026.04 | 51.1 | |
| P-LENFNavg.#CLs=92026.04 | 50.3 | |
| PML-NIavg.#CLs=92026.04 | 47.3 | |
| P-LENFNavg.#CLs=112026.04 | 47 | |
| PAMBavg.#CLs=92026.04 | 47 | |
| PARTICLEavg.#CLs=92026.04 | 45.3 | |
| PAMBavg.#CLs=112026.04 | 43.8 | |
| PML-NIavg.#CLs=112026.04 | 43.4 | |
| PARTICLEavg.#CLs=72026.04 | 41.8 | |
| PARTICLEavg.#CLs=112026.04 | 39.7 |