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Classification on Breast Cancer

98.25Accuracy

SVM

Updated 1mo ago

Evaluation Results

Method	Links
SVM 2024.07		98.25
Logistic Regression 2024.07		98.07
Neural Network 2024.07		97.82
XGB 2025.09		97.73
XGB 2025.09		97.73
Logistic Regression 2024.07		97.72
SVM 2024.07		97.72
AdaBoost 2024.07		97.72
AdaBoost 2024.07		97.55
XGBoost 2024.07		97.54
XGB 2025.09		97.54
XGB 2025.09		97.53
CSVM 2025.04		97.4
XGBoost 2024.07		97.19
XGB 2025.09		97.18
XGB 2025.09		97.16
Neural Network 2024.07		97.01
GB 2025.09		96.98
RF 2025.09		96.98
XGB 2025.09		96.98
Random Forest 2024.07		96.84
Gradient Boost 2024.07		96.84
XGB 2025.09		96.81
RF 2025.09		96.78
RF 2025.09		96.78
XGB 2025.09		96.78
RF 2025.09		96.61
Bagging 2024.07		96.49
RF 2025.09		96.42
GB 2025.09		96.24
GB 2025.09		96.23
GB 2025.09		96.23
RF 2025.09		96.06
GB 2025.09		96.05
GB 2025.09		96.03
GB 2025.09		96.03
GB 2025.09		96.03
Random Forest 2024.07		95.96
GB 2025.09		95.87
RF 2025.09		95.85
RF 2025.09		95.84
TSVM 2025.04		95.6
RF 2025.09		95.47
LogReg 2025.09		95.26
LogReg 2025.09		95.08
Bagging 2024.07		94.9
LogReg 2025.09		94.89
LogReg 2025.09		94.88
LogReg 2025.09		94.87
Gradient Boost 2024.07		94.74
LogReg 2025.09		94.33
LogReg 2025.09		94.31
Decision Tree 2024.07		94.26
LogReg 2025.09		93.76
LogReg 2025.09		93.74
Decision Tree 2024.07		93.32