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. 2019 Oct 23;7(4):e14993. doi: 10.2196/14993

Figure 1.

Figure 1

Receiver-operator curves (ROC) and precision-recall curves (PRC) for the training dataset using 10-fold cross-validation and test datasets. (A) ROC for training using 10-fold cross-validation. (B) ROC for test dataset. (C) PRC for training using 10-fold cross-validation. (D) PRC for test dataset. ANN: artificial neural networks; BBN: Bayesian belief networks; DT: J48 decision tree; LR: logistic regression; NB: naïve Bayesian; RF: random forest, SVM: support vector machines; P:N: positive to negative ratio.