Binary Classification on heart (test)
16.25Error RateStoNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| StoNetq=32022.10 | 16.25 | — | — | |
| StoNetq=62022.10 | 16.25 | — | — | |
| GSIRq=32022.10 | 16.45 | — | — | |
| GSIRq=62022.10 | 16.5 | — | — | |
| LSMIEq=62022.10 | 16.95 | — | — | |
| KDRq=62022.10 | 17.15 | — | — | |
| SIRq=32022.10 | 17.2 | — | — | |
| SAVEq=62022.10 | 17.2 | — | — | |
| LSMIEq=32022.10 | 17.25 | — | — | |
| GSAVEq=32022.10 | 17.31 | — | — | |
| GSAVEq=62022.10 | 17.54 | — | — | |
| SIRq=62022.10 | 17.7 | — | — | |
| PCAq=62022.10 | 18.3 | — | — | |
| KDRq=32022.10 | 18.7 | — | — | |
| SAVEq=32022.10 | 19.1 | — | — | |
| PCAq=32022.10 | 19.2 | — | — | |
| AID-CGModel Type=Logistic Regression2026.02 | — | 0.3898 | 87.65 | |
| OEHGModel Type=Logistic Regression2026.02 | — | 0.3635 | 87.06 | |
| OEHGModel Type=Support Vector Machine2026.02 | — | 0.4121 | 84.9 | |
| RHGModel Type=Logistic Regression2026.02 | — | 0.6741 | 61.96 | |
| RHGModel Type=Support Vector Machine2026.02 | — | 0.4521 | 86.86 | |
| T-RHGModel Type=Logistic Regression2026.02 | — | 0.6136 | 80 | |
| T-RHGModel Type=Support Vector Machine2026.02 | — | 0.4297 | 85.29 |