Partial Multi-Label Learning on birds (Average Precision)
63.4Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=32026.04 | 63.4 | |
| PML-PLRavg.#CLs=32026.04 | 63 | |
| WSC-PMLAvg#CLS=32026.04 | 62.9 | |
| PML-NDavg.#CLs=32026.04 | 62.8 | |
| P-LENFNavg.#CLs=32026.04 | 62.7 | |
| PML-LENFNAvg#CLS=32026.04 | 62.7 | |
| NLRAvg#CLS=32026.04 | 62.6 | |
| FBD-PMLAvg#CLS=32026.04 | 62.5 | |
| FBD-PMLavg.#CLs=32026.04 | 62 | |
| PML-NIavg.#CLs=32026.04 | 61.7 | |
| PML-NIAvg#CLS=32026.04 | 61.7 | |
| PML-MAavg.#CLs=52026.04 | 59.9 | |
| PML-MAavg.#CLs=42026.04 | 59.7 | |
| WSC-PMLAvg#CLS=42026.04 | 59.7 | |
| WSC-PMLAvg#CLS=52026.04 | 59.2 | |
| PML-PLRavg.#CLs=42026.04 | 59 | |
| PML-NDavg.#CLs=52026.04 | 59 | |
| PAMBavg.#CLs=32026.04 | 58.9 | |
| PAMBAvg#CLS=32026.04 | 58.9 | |
| PML-PLRavg.#CLs=52026.04 | 58.5 | |
| PML-NDavg.#CLs=42026.04 | 58.5 | |
| P-LENFNavg.#CLs=42026.04 | 58.1 | |
| PML-LENFNAvg#CLS=42026.04 | 58.1 | |
| FBD-PMLavg.#CLs=52026.04 | 58 | |
| FBD-PMLAvg#CLS=42026.04 | 57.6 | |
| FBD-PMLavg.#CLs=42026.04 | 57.5 | |
| NLRAvg#CLS=42026.04 | 57.5 | |
| PML-NIavg.#CLs=42026.04 | 57.2 | |
| PML-NIAvg#CLS=42026.04 | 57.2 | |
| P-LENFNavg.#CLs=52026.04 | 57 | |
| PML-LENFNAvg#CLS=52026.04 | 57 | |
| FBD-PMLAvg#CLS=52026.04 | 56.8 | |
| PAMBavg.#CLs=42026.04 | 56.4 | |
| PML-NIavg.#CLs=52026.04 | 56.4 | |
| PAMBAvg#CLS=42026.04 | 56.4 | |
| PML-NIAvg#CLS=52026.04 | 56.4 | |
| NLRAvg#CLS=52026.04 | 55.8 | |
| PAMBavg.#CLs=52026.04 | 49.5 | |
| PAMBAvg#CLS=52026.04 | 49.5 | |
| PML-fpavg.#CLs=52026.04 | 45.7 | |
| PML-fpAvg#CLS=52026.04 | 45.7 | |
| PML-fpavg.#CLs=32026.04 | 42.4 | |
| PML-fpAvg#CLS=32026.04 | 42.4 | |
| PARTICLEavg.#CLs=42026.04 | 41.9 | |
| PML-fpavg.#CLs=42026.04 | 41.8 | |
| PML-fpAvg#CLS=42026.04 | 41.8 | |
| PARTICLEavg.#CLs=32026.04 | 37.9 | |
| PARTICLEavg.#CLs=52026.04 | 37.2 |