Partial Multi-Label Learning on reference (Average Precision)
69.3Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=52026.04 | 69.3 | |
| PML-MAavg.#CLs=72026.04 | 68.1 | |
| PML-NDavg.#CLs=52026.04 | 68 | |
| PML-PLRavg.#CLs=52026.04 | 67.5 | |
| FBD-PMLavg.#CLs=52026.04 | 67 | |
| PML-MAavg.#CLs=92026.04 | 66.7 | |
| P-LENFNavg.#CLs=52026.04 | 66.4 | |
| PML-NDavg.#CLs=72026.04 | 66 | |
| PML-NDavg.#CLs=92026.04 | 66 | |
| PML-PLRavg.#CLs=92026.04 | 65.8 | |
| PML-PLRavg.#CLs=72026.04 | 65.5 | |
| PML-NIavg.#CLs=52026.04 | 65.3 | |
| PML-NDavg.#CLs=112026.04 | 65.2 | |
| PML-MAavg.#CLs=112026.04 | 65.1 | |
| FBD-PMLavg.#CLs=72026.04 | 65 | |
| FBD-PMLavg.#CLs=92026.04 | 65 | |
| P-LENFNavg.#CLs=72026.04 | 64.3 | |
| PML-PLRavg.#CLs=112026.04 | 64 | |
| PML-fpavg.#CLs=52026.04 | 62.9 | |
| P-LENFNavg.#CLs=92026.04 | 62.7 | |
| PAMBavg.#CLs=52026.04 | 62.5 | |
| FBD-PMLavg.#CLs=112026.04 | 62 | |
| PML-NIavg.#CLs=72026.04 | 61.4 | |
| PAMBavg.#CLs=72026.04 | 61.2 | |
| PML-fpavg.#CLs=72026.04 | 61.2 | |
| P-LENFNavg.#CLs=112026.04 | 60.9 | |
| PML-NIavg.#CLs=92026.04 | 58.6 | |
| PAMBavg.#CLs=92026.04 | 58.1 | |
| PML-fpavg.#CLs=92026.04 | 56.9 | |
| PARTICLEavg.#CLs=52026.04 | 56.5 | |
| PML-NIavg.#CLs=112026.04 | 55.1 | |
| PML-fpavg.#CLs=112026.04 | 54.9 | |
| PAMBavg.#CLs=112026.04 | 54.4 | |
| PARTICLEavg.#CLs=92026.04 | 48.2 | |
| PARTICLEavg.#CLs=112026.04 | 48.1 | |
| PARTICLEavg.#CLs=72026.04 | 44.8 |