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ResearchFormerly WizWand

Classification on Breast Cancer

98.25AccuracySVM
85.5188.817592.12595.4325Jul 24, 2024Nov 18, 2024Mar 16, 2025Jul 12, 2025Nov 6, 2025Mar 4, 2026Jun 30, 2026
Updated 4mo ago

Evaluation results

MethodLinks
SVMAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0798.25
Logistic RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0798.07
Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0797.82
XGBFeature Selector=KAN-L1, Feature retention level=60%2025.0997.73
XGBFeature Selector=Perm. (RF), Feature retention level=60%2025.0997.73
Logistic RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0797.72
SVMAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0797.72
AdaBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0797.72
AdaBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0797.55
XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0797.54
XGBFeature Selector=KAN-L2, Feature retention level=60%2025.0997.54
XGBFeature Selector=KAN-KO, Feature retention level=60%2025.0997.53
CSVMtype=transductive2025.0497.4
BH-t-SNEk=5, cross-validation=5-fold2026.0597.3
XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0797.19
XGBFeature Selector=Mutual Info, Feature retention level=60%2025.0997.18
XGBFeature Selector=All Features, Feature retention level=60%2025.0997.16
openTSNEk=5, cross-validation=5-fold2026.0597.1
Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0797.01
GBFeature Selector=KAN-KO, Feature retention level=60%2025.0996.98
RFFeature Selector=KAN-L1, Feature retention level=60%2025.0996.98
XGBFeature Selector=KAN-SI, Feature retention level=60%2025.0996.98
Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0796.84
Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0796.84
XGBFeature Selector=SVM-RFE, Feature retention level=60%2025.0996.81
RFFeature Selector=KAN-KO, Feature retention level=60%2025.0996.78
RFFeature Selector=LASSO/L1, Feature retention level=60%2025.0996.78
XGBFeature Selector=LASSO/L1, Feature retention level=60%2025.0996.78
UMAPk=5, cross-validation=5-fold2026.0596.7
RFFeature Selector=KAN-L2, Feature retention level=60%2025.0996.61
BaggingAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0796.49
RFFeature Selector=All Features, Feature retention level=60%2025.0996.42
FastUMAPk=5, cross-validation=5-fold2026.0596.4
GBFeature Selector=All Features, Feature retention level=60%2025.0996.24
GBFeature Selector=KAN-SI, Feature retention level=60%2025.0996.23
GBFeature Selector=Mutual Info, Feature retention level=60%2025.0996.23
RFFeature Selector=Mutual Info, Feature retention level=60%2025.0996.06
GBFeature Selector=Perm. (RF), Feature retention level=60%2025.0996.05
GBFeature Selector=KAN-L1, Feature retention level=60%2025.0996.03
GBFeature Selector=KAN-L2, Feature retention level=60%2025.0996.03
GBFeature Selector=LASSO/L1, Feature retention level=60%2025.0996.03
SUDEk=5, cross-validation=5-fold2026.0596
Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0795.96
GBFeature Selector=SVM-RFE, Feature retention level=60%2025.0995.87
RFFeature Selector=KAN-SI, Feature retention level=60%2025.0995.85
RFFeature Selector=Perm. (RF), Feature retention level=60%2025.0995.84
TSVMtype=transductive, library=scikit-learn2025.0495.6
RFFeature Selector=SVM-RFE, Feature retention level=60%2025.0995.47
LogRegFeature Selector=SVM-RFE, Feature retention level=60%2025.0995.26
LogRegFeature Selector=Mutual Info, Feature retention level=60%2025.0995.08
BaggingAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0794.9
LogRegFeature Selector=KAN-L2, Feature retention level=60%2025.0994.89
LogRegFeature Selector=LASSO/L1, Feature retention level=60%2025.0994.88
LogRegFeature Selector=All Features, Feature retention level=60%2025.0994.87
Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0794.74
LogRegFeature Selector=KAN-L1, Feature retention level=60%2025.0994.33
LogRegFeature Selector=KAN-KO, Feature retention level=60%2025.0994.31
Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.0794.26
LogRegFeature Selector=Perm. (RF), Feature retention level=60%2025.0993.76
LogRegFeature Selector=KAN-SI, Feature retention level=60%2025.0993.74
Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.0793.32
Comparable modelsReference=[SKD18]2026.0686