Table 2 The performance of the three models in the trainig set
Models | Sensitivity (95% CI) | Specificity (95% CI) | Accuracy | AUC (95% CI) |
|---|---|---|---|---|
Regularization logistic regression | 0.786 (0.691–0.862) | 0.708 (0.683–0.733) | 0.932 | 0.788 (0.743–0.833) |
Random forest | 0.806 (0.714–0.879) | 0.601 (0.574–0.628) | 0.931 | 0.744 (0.693–0.795) |
Support vector machines | 0.612 (0.508–0.709) | 0.680 (0.654–0.705) | 0.931 | 0.689 (0.635–0.744) |