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 |