Classification on wisconsin
97.5AccuracyS-KLR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| S-KLRSparsity selection protocol=Standard2025.12 | 97.5 | 14.3 | |
| SVMSparsity selection protocol=sparsest of 3 most accurate2025.12 | 97.5 | 14.7 | |
| S-KLRSparsity selection protocol=sparsest of 3 most accurate2025.12 | 97.4 | 14.5 | |
| ε-BAEN-SVMKernel=linear, Noise Level=0%2026.04 | 97.3 | — | |
| ε-BAEN SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 97.1 | — | |
| ALS-SVMKernel=linear, Noise Level=0%2026.04 | 97 | — | |
| EN-SVMKernel=linear, Noise Level=0%2026.04 | 97 | — | |
| BQ-SVMKernel=linear, Noise Level=0%2026.04 | 97 | — | |
| BALS-SVMKernel=linear, Noise Level=0%2026.04 | 97 | — | |
| BAEN-SVMKernel=linear, Noise Level=0%2026.04 | 97 | — | |
| BQ-SVMKernel=linear, Noise Level=25% label noise2026.04 | 97 | — | |
| BALS-SVMKernel=linear, Noise Level=25% label noise2026.04 | 97 | — | |
| ε-BAEN-SVMKernel=linear, Noise Level=25% label noise2026.04 | 97 | — | |
| EN-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 97 | — | |
| BQ-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 97 | — | |
| BALS-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 97 | — | |
| BAEN-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 97 | — | |
| ε-BAEN-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 97 | — | |
| BQ-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 97 | — | |
| BALS-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 97 | — | |
| BAEN-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 97 | — | |
| BAEN-SVMKernel=linear, Noise Level=25% label noise2026.04 | 96.9 | — | |
| ALS-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 96.7 | — | |
| EN-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 96.7 | — | |
| Pin-SVMKernel=linear, Noise Level=0%2026.04 | 96.6 | — | |
| Pin-SVMKernel=linear, Noise Level=25% feature noise2026.04 | 96.6 | — | |
| Pin-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 96.6 | — | |
| SVMSparsity selection protocol=Standard2025.12 | 96.5 | 11.5 | |
| ALS-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.04 | 96.3 | — | |
| l1/2-KLRSparsity selection protocol=sparsest of 3 most accurate2025.12 | 96 | 70.7 | |
| EN-SVMKernel=linear, Noise Level=25% label noise2026.04 | 96 | — | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 95.14 | — | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 95.04 | — | |
| ALS-SVMKernel=linear, Noise Level=25% label noise2026.04 | 95 | — | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 94.38 | — | |
| FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 94.38 | — | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 94.29 | — | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 94.25 | — | |
| SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 93.86 | — | |
| PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 93.77 | — | |
| FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 93.67 | — | |
| IVMSparsity selection protocol=Standard2025.12 | 93.6 | 5.2 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 93.52 | — | |
| PFIFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 93.48 | — | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 93.32 | — | |
| Pin-SVMKernel=linear, Noise Level=25% label noise2026.04 | 92.6 | — | |
| PKeX-ShapleySelected features=top 20%, Validation=five-fold cross-validated2025.05 | 90.9 | — | |
| K–BestSelected features=top 20%, Validation=five-fold cross-validated2025.05 | 90.9 | — | |
| MISelected features=top 20%, Validation=five-fold cross-validated2025.05 | 90 | — | |
| LassoSelected features=top 20%, Validation=five-fold cross-validated2025.05 | 90 | — | |
| PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 89.66 | — | |
| PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 89.16 | — | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 89.04 | — | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 88.98 | — | |
| SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 88.82 | — | |
| Tree Ens.Selected features=top 20%, Validation=five-fold cross-validated2025.05 | 88.7 | — | |
| HSICLassoSelected features=top 20%, Validation=five-fold cross-validated2025.05 | 88.4 | — | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 85.62 | — | |
| l1/2-KLRSparsity selection protocol=Standard2025.12 | 80.5 | 3.9 |