Partial Multi-Label Learning on yeast (Average Precision)
76.8Average PrecisionPAMB
Evaluation Results
| Method | Links | |
|---|---|---|
| PAMBavg.#CLs=72026.04 | 76.8 | |
| PML-MAavg.#CLs=72026.04 | 75.8 | |
| WSC-PMLAvg#CLS=72026.04 | 75.8 | |
| PML-PLRavg.#CLs=72026.04 | 75.7 | |
| PML-NDavg.#CLs=72026.04 | 75.6 | |
| PAMBAvg#CLS=72026.04 | 75.6 | |
| PARTICLEavg.#CLs=72026.04 | 75.4 | |
| P-LENFNavg.#CLs=72026.04 | 75.3 | |
| PAMBavg.#CLs=92026.04 | 75.3 | |
| PML-LENFNAvg#CLS=72026.04 | 75.3 | |
| PML-MAavg.#CLs=92026.04 | 75.2 | |
| PML-PLRavg.#CLs=92026.04 | 75 | |
| FBD-PMLavg.#CLs=72026.04 | 75 | |
| WSC-PMLAvg#CLS=92026.04 | 75 | |
| FBD-PMLAvg#CLS=72026.04 | 74.9 | |
| PML-NDavg.#CLs=92026.04 | 74.8 | |
| PAMBAvg#CLS=92026.04 | 74.8 | |
| PML-NIavg.#CLs=72026.04 | 74.6 | |
| PML-NIAvg#CLS=72026.04 | 74.6 | |
| PARTICLEavg.#CLs=92026.04 | 74.4 | |
| FBD-PMLavg.#CLs=92026.04 | 74.2 | |
| NLRAvg#CLS=72026.04 | 74.2 | |
| PAMBAvg#CLS=112026.04 | 74.1 | |
| P-LENFNavg.#CLs=92026.04 | 74 | |
| PML-LENFNAvg#CLS=92026.04 | 74 | |
| WSC-PMLAvg#CLS=112026.04 | 73.9 | |
| PML-fpavg.#CLs=72026.04 | 73.6 | |
| PML-fpAvg#CLS=72026.04 | 73.6 | |
| FBD-PMLAvg#CLS=92026.04 | 73.3 | |
| PML-fpavg.#CLs=92026.04 | 72.7 | |
| PML-fpAvg#CLS=92026.04 | 72.7 | |
| PML-NIavg.#CLs=92026.04 | 72.5 | |
| PML-NIAvg#CLS=92026.04 | 72.5 | |
| PML-LENFNAvg#CLS=112026.04 | 72.1 | |
| NLRAvg#CLS=92026.04 | 71.9 | |
| FBD-PMLAvg#CLS=112026.04 | 70.2 | |
| PML-fpAvg#CLS=112026.04 | 70 | |
| PML-NIAvg#CLS=112026.04 | 69.2 | |
| NLRAvg#CLS=112026.04 | 68.6 |