Partial Multi-Label Learning on emotions (Average Precision)
81.4Average PrecisionPML-MA
Evaluation results
| Method | Links | |
|---|---|---|
| PML-MAavg.#CLs=32026.04 | 81.4 | |
| PML-PLRavg.#CLs=32026.04 | 81.2 | |
| PAMBavg.#CLs=32026.04 | 81 | |
| PAMBAvg#CLS=32026.04 | 81 | |
| PML-NDavg.#CLs=32026.04 | 80.8 | |
| WSC-PMLAvg#CLS=32026.04 | 80.5 | |
| PML-MAavg.#CLs=42026.04 | 80 | |
| FBD-PMLavg.#CLs=32026.04 | 80 | |
| WSC-PMLAvg#CLS=42026.04 | 79.1 | |
| PML-PLRavg.#CLs=42026.04 | 79 | |
| PML-NDavg.#CLs=42026.04 | 78.5 | |
| PAMBavg.#CLs=42026.04 | 78.3 | |
| PAMBAvg#CLS=42026.04 | 78.3 | |
| P-LENFNavg.#CLs=32026.04 | 78.1 | |
| PML-LENFNAvg#CLS=32026.04 | 78.1 | |
| NLRAvg#CLS=32026.04 | 78 | |
| PML-NIavg.#CLs=32026.04 | 77.7 | |
| PML-NIAvg#CLS=32026.04 | 77.7 | |
| FBD-PMLAvg#CLS=32026.04 | 77.6 | |
| FBD-PMLavg.#CLs=42026.04 | 77.5 | |
| P-LENFNavg.#CLs=42026.04 | 76.8 | |
| PML-LENFNAvg#CLS=42026.04 | 76.8 | |
| FBD-PMLAvg#CLS=42026.04 | 76.2 | |
| PML-MAavg.#CLs=52026.04 | 76.1 | |
| WSC-PMLAvg#CLS=52026.04 | 75.6 | |
| PML-PLRavg.#CLs=52026.04 | 75.5 | |
| PML-NDavg.#CLs=52026.04 | 75.2 | |
| PAMBavg.#CLs=52026.04 | 75 | |
| PAMBAvg#CLS=52026.04 | 75 | |
| PML-NIavg.#CLs=42026.04 | 74.9 | |
| PML-NIAvg#CLS=42026.04 | 74.9 | |
| PARTICLEavg.#CLs=32026.04 | 74.7 | |
| FBD-PMLavg.#CLs=52026.04 | 74 | |
| NLRAvg#CLS=42026.04 | 74 | |
| PARTICLEavg.#CLs=42026.04 | 73.9 | |
| P-LENFNavg.#CLs=52026.04 | 70.4 | |
| PML-LENFNAvg#CLS=52026.04 | 70.4 | |
| PARTICLEavg.#CLs=52026.04 | 70.2 | |
| FBD-PMLAvg#CLS=52026.04 | 69.8 | |
| PML-NIavg.#CLs=52026.04 | 68 | |
| PML-NIAvg#CLS=52026.04 | 68 | |
| PML-fpavg.#CLs=32026.04 | 67.5 | |
| PML-fpAvg#CLS=32026.04 | 67.5 | |
| NLRAvg#CLS=52026.04 | 67 | |
| PML-fpavg.#CLs=42026.04 | 58.1 | |
| PML-fpAvg#CLS=42026.04 | 58.1 | |
| PML-fpavg.#CLs=52026.04 | 56.3 | |
| PML-fpAvg#CLS=52026.04 | 56.3 |