Partial Multi-Label Learning
Benchmarks
DatasetSOTA methodMetricTrendResultsLast updated
82Average Precision
48
Apr 13, 2026
63.4Average Precision
48
Apr 13, 2026
81.4Average Precision
48
Apr 13, 2026
76.8Average Precision
39
Apr 13, 2026
0.156Ranking Loss
37
Apr 13, 2026
69.3Average Precision
36
Apr 13, 2026
60.8Average Precision
36
Apr 13, 2026
34.3One-error
36
Apr 13, 2026
48.2One-error
36
Apr 13, 2026
0.025Hamming Loss
36
Apr 13, 2026
5.4Hamming Loss
36
Apr 13, 2026
60Average Precision
27
Apr 13, 2026
30.3One-error
27
Apr 13, 2026
27.5One-Error
27
Apr 13, 2026
41.1One-error
27
Apr 13, 2026
23.5One-Error
27
Apr 13, 2026
5.7Hamming Loss
27
Apr 13, 2026
0.168Hamming Loss
27
Apr 13, 2026
20.2Hamming Loss
27
Apr 13, 2026
0.045Hamming Loss
27
Apr 13, 2026
0.156Ranking Loss
26
Apr 13, 2026
0.148Ranking Loss
24
Apr 13, 2026
87.5Average Precision
21
Apr 13, 2026
0.173Ranking Loss
21
Apr 13, 2026
0.03Ranking Loss
21
Apr 13, 2026