Table 3 Cross-Validation performance of machine learning models.
From: Predicting cancer risk using machine learning on lifestyle and genetic data
Machine learning model | Mean cross-validation accuracy | Standard deviation of cross-validation accuracy |
|---|---|---|
k-NN | 0.8292 | 0.0137 |
LR | 0.8742 | 0.0165 |
SVM | 0.9017 | 0.0162 |
DT Classifier | 0.9133 | 0.0113 |
RF Classifier | 0.9500 | 0.0139 |
LightGBM | 0.9675 | 0.0143 |
GB Classifier | 0.9733 | 0.0057 |
XGBoost | 0.9742 | 0.0055 |
CatBoost | 0.9850 | 0.0068 |
