Skip to main content
. 2020 Dec 17;12(12):3817. doi: 10.3390/cancers12123817

Figure 2.

Figure 2

Receiver operating characteristics (ROC) curve for machine learning models in predicting recurrence within 10 years after breast cancer surgery in (A) training dataset and (B) testing dataset. (A) The comparison of the ROC curve between the forecasting models (artificial neural network (ANN), K nearest neighbor (KNN), support vector machine (SVM), naive Bayes classifier (NBC), and Cox regression (COX)) models to predict recurrence within 10 years after breast cancer surgery in the training dataset (n = 798). (B) The comparison of the ROC curve between the forecasting models to predict recurrence within 10 years after breast cancer surgery in the testing dataset (n = 171).