Classification on UCI Diabetes
85.6AccuracyPeer
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 85.6 | — | |
| PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 83.3 | — | |
| DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 83 | — | |
| SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 80.3 | — | |
| SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 80.2 | — | |
| DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 79.7 | — | |
| SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 78 | — | |
| SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 77.7 | — | |
| NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 75.6 | — | |
| PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 75.5 | — | |
| NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.10 | 75 | — | |
| PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 73.9 | — | |
| PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 71.9 | — | |
| DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 70.7 | — | |
| SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 70.5 | — | |
| SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 69.5 | — | |
| SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 68.5 | — | |
| DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 68.2 | — | |
| SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 68.1 | — | |
| SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 68 | — | |
| NRI†N=8, Zero-shot=true, OOD=false2026.05 | 68 | 0 | |
| XGBN=82026.05 | 67.4 | — | |
| NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 67.2 | — | |
| EBMN=82026.05 | 66.9 | — | |
| RIPPERN=82026.05 | 66.8 | — | |
| RuleFitN=82026.05 | 65.5 | — | |
| DTN=82026.05 | 65.3 | — | |
| PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 65.1 | — | |
| LGBMN=82026.05 | 65.1 | — | |
| FIGSN=82026.05 | 64.9 | — | |
| SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 64.5 | — | |
| N-DNFN=82026.05 | 64.4 | — | |
| DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 63.7 | — | |
| SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 63.4 | — | |
| DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 63.3 | — | |
| SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 61.9 | — | |
| NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.10 | 59.6 | — | |
| NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 58.3 | — | |
| NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.10 | 55.1 | — |