Tabular Binary Classification on ACS-T (test)
66.38AccuracyMLP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MLPBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 66.38 | 73.69 | 9.28 | 6.21 | |
| MLPBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 66.21 | 73.78 | 8.32 | 5.11 | |
| HSICBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 66.01 | 73.16 | 0.98 | 1 | |
| HSICBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 65.81 | 72.92 | 1.75 | 0.43 | |
| MMDBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 65.71 | 70.57 | 3.97 | 1.55 | |
| CSBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 65.7 | 72.83 | 0.17 | 0.75 | |
| DPBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 65.38 | 72.4 | 0.29 | 1.83 | |
| CSBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 65.16 | 72.56 | 0.55 | 1.38 | |
| DPBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 64.96 | 71.86 | 0.82 | 1.3 | |
| MMDBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 64.48 | 72.92 | 1.22 | 2.11 | |
| PRBackbone=MLP, Sensitive Attribute=Race, Number of runs=102025.12 | 64.25 | 70.25 | 1.56 | 1.21 | |
| PRBackbone=MLP, Sensitive Attribute=Gender, Number of runs=102025.12 | 62.72 | 69.36 | 0.78 | 1.07 |