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Partial Multi-Label Learning on reference (Average Precision)

69.3Average Precision

PML-MA

Updated 6d ago

Evaluation Results

Method	Links
PML-MA 2026.04		69.3
PML-MA 2026.04		68.1
PML-ND 2026.04		68
PML-PLR 2026.04		67.5
FBD-PML 2026.04		67
PML-MA 2026.04		66.7
P-LENFN 2026.04		66.4
PML-ND 2026.04		66
PML-ND 2026.04		66
PML-PLR 2026.04		65.8
PML-PLR 2026.04		65.5
PML-NI 2026.04		65.3
PML-ND 2026.04		65.2
PML-MA 2026.04		65.1
FBD-PML 2026.04		65
FBD-PML 2026.04		65
P-LENFN 2026.04		64.3
PML-PLR 2026.04		64
PML-fp 2026.04		62.9
P-LENFN 2026.04		62.7
PAMB 2026.04		62.5
FBD-PML 2026.04		62
PML-NI 2026.04		61.4
PAMB 2026.04		61.2
PML-fp 2026.04		61.2
P-LENFN 2026.04		60.9
PML-NI 2026.04		58.6
PAMB 2026.04		58.1
PML-fp 2026.04		56.9
PARTICLE 2026.04		56.5
PML-NI 2026.04		55.1
PML-fp 2026.04		54.9
PAMB 2026.04		54.4
PARTICLE 2026.04		48.2
PARTICLE 2026.04		48.1
PARTICLE 2026.04		44.8