Classification Accuracy on WDBC
98.25AccuracyHL-SMM
Evaluation Results
| Method | Links | |
|---|---|---|
| HL-SMM2026.02 | 98.25 | |
| Poly-SVM2026.02 | 97.83 | |
| RBF-SVM2026.02 | 97.08 | |
| Pinball-SMM2026.02 | 95.09 | |
| Hinge-SMM2026.02 | 94.15 | |
| Linear-SVM2026.02 | 94.15 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 92.26 | |
| Ramp-SMM2026.02 | 92.05 | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 91.5 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 90.78 | |
| FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 90.39 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 90.35 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 90.21 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 90.11 | |
| SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 89.07 | |
| PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 88.38 | |
| LS-SMM2026.02 | 84.8 | |
| SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 83.42 | |
| PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.05 | 82.39 | |
| SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 82.39 | |
| PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.05 | 82.13 | |
| SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 80.97 | |
| PFIFeature selection=Top 30%, Classifier=Decision Tree2026.05 | 79.87 | |
| FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.05 | 76.42 | |
| FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | 72.14 | |
| FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.05 | 70.43 |