Classification on monk 25% feature noise (Accuracy)
95.6AccuracyPin-SVM
Evaluation Results
| Method | Links | |
|---|---|---|
| Pin-SVMKernel=RBF2026.04 | 95.6 | |
| EN-SVMKernel=RBF2026.04 | 95.6 | |
| ALS-SVMKernel=RBF2026.04 | 95.4 | |
| BQ-SVMKernel=RBF2026.04 | 95.4 | |
| BAEN-SVMKernel=RBF2026.04 | 94.9 | |
| BALS-SVMKernel=RBF2026.04 | 94.7 | |
| ε-BAEN-SVMKernel=RBF2026.04 | 94.7 | |
| BAEN-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 83.3 | |
| ε-BAEN-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 83.3 | |
| BQ-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 82.8 | |
| BALS-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 82.8 | |
| EN-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 80.7 | |
| Pin-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 80.3 | |
| ALS-SVMKernel=linear, Noise Type=feature, Noise Level=25%2026.04 | 80.3 |