Partial Multi-Label Learning on arts (Average Precision)
60.8Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=52026.04 | 60.8 | |
| PML-PLRavg.#CLs=52026.04 | 60.2 | |
| PML-NDavg.#CLs=52026.04 | 60 | |
| PML-MAavg.#CLs=72026.04 | 59.7 | |
| FBD-PMLavg.#CLs=52026.04 | 59.5 | |
| P-LENFNavg.#CLs=52026.04 | 59.1 | |
| PML-PLRavg.#CLs=72026.04 | 59 | |
| PML-NDavg.#CLs=72026.04 | 58.8 | |
| PML-MAavg.#CLs=92026.04 | 58.6 | |
| PAMBavg.#CLs=52026.04 | 58.4 | |
| PML-PLRavg.#CLs=92026.04 | 58.3 | |
| PML-NDavg.#CLs=92026.04 | 58.2 | |
| FBD-PMLavg.#CLs=72026.04 | 58 | |
| FBD-PMLavg.#CLs=92026.04 | 57.5 | |
| PML-MAavg.#CLs=112026.04 | 57.3 | |
| PML-NIavg.#CLs=52026.04 | 57.3 | |
| P-LENFNavg.#CLs=72026.04 | 57.1 | |
| PML-fpavg.#CLs=52026.04 | 57.1 | |
| PAMBavg.#CLs=72026.04 | 56.9 | |
| PML-PLRavg.#CLs=112026.04 | 56 | |
| PML-fpavg.#CLs=72026.04 | 55.2 | |
| PML-NDavg.#CLs=112026.04 | 55 | |
| PAMBavg.#CLs=92026.04 | 54.8 | |
| P-LENFNavg.#CLs=92026.04 | 54.6 | |
| FBD-PMLavg.#CLs=112026.04 | 54.5 | |
| PML-NIavg.#CLs=72026.04 | 54.1 | |
| PML-fpavg.#CLs=92026.04 | 53.2 | |
| P-LENFNavg.#CLs=112026.04 | 51.9 | |
| PAMBavg.#CLs=112026.04 | 51.8 | |
| PML-fpavg.#CLs=112026.04 | 51.4 | |
| PML-NIavg.#CLs=92026.04 | 50.2 | |
| PML-NIavg.#CLs=112026.04 | 47.2 | |
| PARTICLEavg.#CLs=52026.04 | 46.4 | |
| PARTICLEavg.#CLs=72026.04 | 44.1 | |
| PARTICLEavg.#CLs=92026.04 | 43.9 | |
| PARTICLEavg.#CLs=112026.04 | 43.9 |