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Partial Multi-Label Learning on emotions (Average Precision)

81.4Average Precision

PML-MA

Updated 6d ago

Evaluation Results

Method	Links
PML-MA 2026.04		81.4
PML-PLR 2026.04		81.2
PAMB 2026.04		81
PAMB 2026.04		81
PML-ND 2026.04		80.8
WSC-PML 2026.04		80.5
PML-MA 2026.04		80
FBD-PML 2026.04		80
WSC-PML 2026.04		79.1
PML-PLR 2026.04		79
PML-ND 2026.04		78.5
PAMB 2026.04		78.3
PAMB 2026.04		78.3
P-LENFN 2026.04		78.1
PML-LENFN 2026.04		78.1
NLR 2026.04		78
PML-NI 2026.04		77.7
PML-NI 2026.04		77.7
FBD-PML 2026.04		77.6
FBD-PML 2026.04		77.5
P-LENFN 2026.04		76.8
PML-LENFN 2026.04		76.8
FBD-PML 2026.04		76.2
PML-MA 2026.04		76.1
WSC-PML 2026.04		75.6
PML-PLR 2026.04		75.5
PML-ND 2026.04		75.2
PAMB 2026.04		75
PAMB 2026.04		75
PML-NI 2026.04		74.9
PML-NI 2026.04		74.9
PARTICLE 2026.04		74.7
FBD-PML 2026.04		74
NLR 2026.04		74
PARTICLE 2026.04		73.9
P-LENFN 2026.04		70.4
PML-LENFN 2026.04		70.4
PARTICLE 2026.04		70.2
FBD-PML 2026.04		69.8
PML-NI 2026.04		68
PML-NI 2026.04		68
PML-fp 2026.04		67.5
PML-fp 2026.04		67.5
NLR 2026.04		67
PML-fp 2026.04		58.1
PML-fp 2026.04		58.1
PML-fp 2026.04		56.3
PML-fp 2026.04		56.3