Binary Classification on fertility UCI (test)
91AccuracyBAEN-SVM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BAEN-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 91 | — | |
| Pin-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 90 | — | |
| ALS-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 90 | — | |
| BQ-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 90 | — | |
| BALS-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 90 | — | |
| MAMr1/r3=0/02026.04 | 90 | 4.36 | |
| Hinge-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 89 | — | |
| EN-SVMKernel=RBF, Noise Type=feature noise, Noise Level=25%2026.03 | 89 | — | |
| MWNetr1/r3=0/02026.04 | 89 | 4.11 | |
| PBCSr1/r3=0/02026.04 | 88 | 4.83 | |
| MAMr1/r3=0.1/02026.04 | 88 | 4.85 | |
| MAMr1/r3=0/0.12026.04 | 88 | 4.75 | |
| ℓ1-SVMr1/r3=0/02026.04 | 87 | 0.21 | |
| TSpAMr1/r3=0/02026.04 | 87 | 4.82 | |
| PBCSr1/r3=0.1/02026.04 | 86 | 5.05 | |
| MAMr1/r3=0.1/0.12026.04 | 86 | 5.02 | |
| MWNetr1/r3=0/0.12026.04 | 85 | 4.25 | |
| PBCSr1/r3=0/0.12026.04 | 85 | 4.96 | |
| MWNetr1/r3=0.1/02026.04 | 84 | 4.37 | |
| ℓ1-SVMr1/r3=0/0.12026.04 | 83 | 0.22 | |
| TSpAMr1/r3=0/0.12026.04 | 83 | 4.93 | |
| TSpAMr1/r3=0.1/02026.04 | 82 | 4.95 | |
| MWNetr1/r3=0.1/0.12026.04 | 82 | 4.56 | |
| ℓ1-SVMr1/r3=0.1/02026.04 | 81 | 0.22 | |
| PBCSr1/r3=0.1/0.12026.04 | 81 | 5.37 | |
| TSpAMr1/r3=0.1/0.12026.04 | 79 | 5.42 | |
| ℓ1-SVMr1/r3=0.1/0.12026.04 | 77 | 0.22 |