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. 2019 Dec 27;14(12):e0226765. doi: 10.1371/journal.pone.0226765

Fig 1. ROC curves for machine learning models with only BCRAT inputs and for the BCRAT.

Fig 1

These are the receiver operating characteristic (ROC) curves for the six machine learning models with only Breast Cancer Risk Prediction Tool (BCRAT) inputs and for the BCRAT. The six machine learning models include a logistic regression (LR), naive Bayes (NB), decision tree (DT), linear discriminant analysis (LDA), support vector machine (SVM), and neural network (NN). We report Delong 95% confidence intervals for each area under the receiver operating characteristic curve (AUC) value.