Unfairness Witness Finding on Adult Census Race
0.78Bias (%)Fairify
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| FairifyTarget Model=AC72025.09 | 0.78 | — | — | — | — | — | — | |
| FairifyTarget Model=AC22025.09 | 0.8 | — | — | — | — | — | — | |
| FairifyTarget Model=AC62025.09 | 0.86 | — | — | — | — | — | — | |
| FairifyTarget Model=AC112025.09 | 0.91 | — | — | — | — | — | — | |
| FairifyTarget Model=AC42025.09 | 1.06 | — | — | — | — | — | — | |
| FairifyTarget Model=AC102025.09 | 1.54 | — | — | — | — | — | — | |
| FairifyTarget Model=AC122025.09 | 1.54 | — | — | — | — | — | — | |
| FairifyTarget Model=AC32025.09 | 1.84 | — | — | — | — | — | — | |
| FairifyTarget Model=AC82025.09 | 1.89 | — | — | — | — | — | — | |
| FairifyTarget Model=AC92025.09 | 2.01 | — | — | — | — | — | — | |
| FairifyTarget Model=AC12025.09 | 2.11 | — | — | — | — | — | — | |
| FairifyTarget Model=AC52025.09 | 2.48 | — | — | — | — | — | — | |
| PyCTTarget Model=AC12025.09 | — | — | 24 | 10 | 3 | 256 | 33.46 | |
| PyCTTarget Model=AC22025.09 | — | — | 100 | 2 | 1 | 117 | 33.55 | |
| PyCTTarget Model=AC32025.09 | — | — | 50 | 5 | 3 | 244 | 33.56 | |
| PyCTTarget Model=AC42025.09 | — | — | 200 | 3 | 1 | 539 | 408.45 | |
| PyCTTarget Model=AC52025.09 | — | — | 128 | 1 | 1 | 79 | 106.82 | |
| PyCTTarget Model=AC62025.09 | — | — | 24 | 11 | 6 | 321 | 467.13 | |
| PyCTTarget Model=AC72025.09 | — | — | 124 | 71 | 60 | 11,082 | 2,697.17 | |
| PyCTTarget Model=AC82025.09 | — | — | 10 | 95 | 25 | 950 | 175.38 | |
| PyCTTarget Model=AC92025.09 | — | — | 12 | 30 | 9 | 348 | 110.51 | |
| PyCTTarget Model=AC102025.09 | — | — | 20 | 11 | 1 | 213 | 33.61 | |
| PyCTTarget Model=AC112025.09 | — | — | 40 | 7 | 1 | 250 | 1,684.83 | |
| PyCTTarget Model=AC122025.09 | — | — | 45 | 5 | 1 | 179 | 469.69 |