Positive-Unlabeled Learning on SVHN (test) benchmark leaderboard · SOTA2 Research

Positive-Unlabeled Learning on SVHN (test)

0.9564AccuracyPiCO

Evaluation Results

Method	Links
PiCO2025.12		0.9564	0.9047	0.8574	0.8751	0.9558	0.9432
puNCE2025.12		0.9534	0.9035	0.8381	0.8701	0.9487	0.9387
WConPU2025.12		0.9149	0.9377	0.8754	0.9045	0.9697	0.9682
AngularPU2025.12		0.8994	0.8833	0.9027	0.8927	0.9585	0.9478
Dense-PU2025.12		0.861	0.8932	0.8272	0.8537	0.9325	0.9245
Dist-PU2025.12		0.8596	0.8906	0.8436	0.8366	0.9292	0.9229
PUbN2025.12		0.8489	0.8826	0.8357	0.8316	0.9203	0.9189
ImbPU2025.12		0.842	0.8669	0.8118	0.8299	0.9179	0.9121
Self-PU2025.12		0.8412	0.8616	0.7922	0.8255	0.9173	0.9099
aPU2025.12		0.8401	0.8629	0.8121	0.8233	0.9156	0.9066
PUSB2025.12		0.8399	0.8681	0.7801	0.8211	0.9189	0.9031
nnPU2025.12		0.8388	0.8678	0.7725	0.8201	0.9202	0.9028
uPU2025.12		0.8335	0.8711	0.7593	0.8112	0.9193	0.9022
RP2025.12		0.8173	0.8401	0.7612	0.801	0.8975	0.8799
VPU2025.12		0.7689	0.7956	0.7956	0.7536	0.7331	0.8335