Fig. 2
From: Machine learning-based models for the prediction of breast cancer recurrence risk
Flowchart of the machine learning development model for predicting recurrence of breast cancer. Abbreviations: BC, breast cancer; LR, logistic regression [32]; RF, random forest [33]; SVC, support vector classification [34]; XGBoost, extreme gradient boosting [35]; GBDT, gradient boosting decision tree [36]; decision tree [37]; MLP, multilayer perceptron [38]; LDA, linear discriminant analysis [39]; AdaBoost, adaptive boosting [40]; GaussianNB, Gaussian naive Bayes [41]; LightGBM, light gradient boosting machine [42]; SHAP, Shapley Additive Explanation; DCA, decision curve analysis