Classification on Breast Cancer
98.25AccuracySVM
Evaluation Results
| Method | Links | |
|---|---|---|
| SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 98.25 | |
| Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 98.07 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 97.82 | |
| XGBFeature Selector=KAN-L1, Feature retention level=60%2025.09 | 97.73 | |
| XGBFeature Selector=Perm. (RF), Feature retention level=60%2025.09 | 97.73 | |
| Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 97.72 | |
| SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 97.72 | |
| AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 97.72 | |
| AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 97.55 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 97.54 | |
| XGBFeature Selector=KAN-L2, Feature retention level=60%2025.09 | 97.54 | |
| XGBFeature Selector=KAN-KO, Feature retention level=60%2025.09 | 97.53 | |
| CSVMtype=transductive2025.04 | 97.4 | |
| BH-t-SNEk=5, cross-validation=5-fold2026.05 | 97.3 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 97.19 | |
| XGBFeature Selector=Mutual Info, Feature retention level=60%2025.09 | 97.18 | |
| XGBFeature Selector=All Features, Feature retention level=60%2025.09 | 97.16 | |
| openTSNEk=5, cross-validation=5-fold2026.05 | 97.1 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 97.01 | |
| GBFeature Selector=KAN-KO, Feature retention level=60%2025.09 | 96.98 | |
| RFFeature Selector=KAN-L1, Feature retention level=60%2025.09 | 96.98 | |
| XGBFeature Selector=KAN-SI, Feature retention level=60%2025.09 | 96.98 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 96.84 | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 96.84 | |
| XGBFeature Selector=SVM-RFE, Feature retention level=60%2025.09 | 96.81 | |
| RFFeature Selector=KAN-KO, Feature retention level=60%2025.09 | 96.78 | |
| RFFeature Selector=LASSO/L1, Feature retention level=60%2025.09 | 96.78 | |
| XGBFeature Selector=LASSO/L1, Feature retention level=60%2025.09 | 96.78 | |
| UMAPk=5, cross-validation=5-fold2026.05 | 96.7 | |
| RFFeature Selector=KAN-L2, Feature retention level=60%2025.09 | 96.61 | |
| BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 96.49 | |
| RFFeature Selector=All Features, Feature retention level=60%2025.09 | 96.42 | |
| FastUMAPk=5, cross-validation=5-fold2026.05 | 96.4 | |
| GBFeature Selector=All Features, Feature retention level=60%2025.09 | 96.24 | |
| GBFeature Selector=KAN-SI, Feature retention level=60%2025.09 | 96.23 | |
| GBFeature Selector=Mutual Info, Feature retention level=60%2025.09 | 96.23 | |
| RFFeature Selector=Mutual Info, Feature retention level=60%2025.09 | 96.06 | |
| GBFeature Selector=Perm. (RF), Feature retention level=60%2025.09 | 96.05 | |
| GBFeature Selector=KAN-L1, Feature retention level=60%2025.09 | 96.03 | |
| GBFeature Selector=KAN-L2, Feature retention level=60%2025.09 | 96.03 | |
| GBFeature Selector=LASSO/L1, Feature retention level=60%2025.09 | 96.03 | |
| SUDEk=5, cross-validation=5-fold2026.05 | 96 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 95.96 | |
| GBFeature Selector=SVM-RFE, Feature retention level=60%2025.09 | 95.87 | |
| RFFeature Selector=KAN-SI, Feature retention level=60%2025.09 | 95.85 | |
| RFFeature Selector=Perm. (RF), Feature retention level=60%2025.09 | 95.84 | |
| TSVMtype=transductive, library=scikit-learn2025.04 | 95.6 | |
| RFFeature Selector=SVM-RFE, Feature retention level=60%2025.09 | 95.47 | |
| LogRegFeature Selector=SVM-RFE, Feature retention level=60%2025.09 | 95.26 | |
| LogRegFeature Selector=Mutual Info, Feature retention level=60%2025.09 | 95.08 | |
| BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 94.9 | |
| LogRegFeature Selector=KAN-L2, Feature retention level=60%2025.09 | 94.89 | |
| LogRegFeature Selector=LASSO/L1, Feature retention level=60%2025.09 | 94.88 | |
| LogRegFeature Selector=All Features, Feature retention level=60%2025.09 | 94.87 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 94.74 | |
| LogRegFeature Selector=KAN-L1, Feature retention level=60%2025.09 | 94.33 | |
| LogRegFeature Selector=KAN-KO, Feature retention level=60%2025.09 | 94.31 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 94.26 | |
| LogRegFeature Selector=Perm. (RF), Feature retention level=60%2025.09 | 93.76 | |
| LogRegFeature Selector=KAN-SI, Feature retention level=60%2025.09 | 93.74 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 93.32 | |
| Comparable modelsReference=[SKD18]2026.06 | 86 |