Table 3 The performance of the three models in the test set
Models | Sensitivity (95% CI) | Specificity (95% CI) | Accuracy | AUC (95% CI) |
|---|---|---|---|---|
Regularization logistic regression | 0.725 (0.561–0.854) | 0.699 (0.660–0.737) | 0.936 | 0.732 (0.649–0.816) |
Random forest | 0.750 (0.588–0.873) | 0.663 (0.622–0.701) | 0.935 | 0.728 (0.642–0.813) |
Support vector machines | 0.675 (0.509–0.814) | 0.668 (0.628–0.706) | 0.935 | 0.712 (0.630–0.794) |