Table 4. The receiving operating characteristic of all prediction models used in this study across all data.
| Model | AUROC | AUROC SE | AUROC 95% CI |
|---|---|---|---|
| ANN | 0.828 | 0.019 | 0.790–0.866 |
| DT | 0.895 | 0.015 | 0.865–0.925 |
| LDA | 0.841 | 0.017 | 0.807–0.875 |
| LR | 0.855 | 0.014 | 0.827–0.883 |
| NB | 0.810 | 0.018 | 0.775–0.846 |
| SVM | 0.882 | 0.014 | 0.855–0.909 |
AUC, area under ROC curve; SE, standard error; CI, confidence interval; ANN, artificial neural network; DT, decision tree; LDA, linear discriminant analysis classifier; LR, logistic regression; NB, naïve Bayes classifier; SVM, support vector machine.