Partial Multi-Label Learning on recreation (One-error)
30.3One-errorPML-fp
Evaluation results
| Method | Links | |
|---|---|---|
| PML-fpavg.#CLs=72026.04 | 30.3 | |
| PML-MAavg.#CLs=72026.04 | 49.9 | |
| PML-PLRavg.#CLs=72026.04 | 51 | |
| PML-MAavg.#CLs=92026.04 | 51.8 | |
| PML-NDavg.#CLs=72026.04 | 52.5 | |
| PML-PLRavg.#CLs=92026.04 | 53.8 | |
| FBD-PMLavg.#CLs=72026.04 | 54 | |
| PML-MAavg.#CLs=112026.04 | 54 | |
| PML-NDavg.#CLs=92026.04 | 55.2 | |
| P-LENFNavg.#CLs=72026.04 | 55.9 | |
| FBD-PMLavg.#CLs=92026.04 | 56 | |
| PML-PLRavg.#CLs=112026.04 | 56.5 | |
| PML-NDavg.#CLs=112026.04 | 58 | |
| PML-NIavg.#CLs=92026.04 | 58.5 | |
| PML-NIavg.#CLs=72026.04 | 60 | |
| FBD-PMLavg.#CLs=112026.04 | 60 | |
| PAMBavg.#CLs=72026.04 | 62.6 | |
| PML-NIavg.#CLs=112026.04 | 62.6 | |
| P-LENFNavg.#CLs=92026.04 | 63.8 | |
| PML-fpavg.#CLs=92026.04 | 66 | |
| PARTICLEavg.#CLs=92026.04 | 67 | |
| P-LENFNavg.#CLs=112026.04 | 67.3 | |
| PAMBavg.#CLs=92026.04 | 67.6 | |
| PML-fpavg.#CLs=112026.04 | 68.5 | |
| PARTICLEavg.#CLs=112026.04 | 68.8 | |
| PARTICLEavg.#CLs=72026.04 | 71.3 | |
| PAMBavg.#CLs=112026.04 | 72.7 |