| Sensitivity (95%CI) | Specificity (95%CI) | PPV (95%CI) | NPV (95%CI) | AUC (95%CI) | Accuracy (95%CI) |
---|---|---|---|---|---|---|
Training set | Â | Â | Â | Â | Â | Â |
RF | 0.955 (0.868–1.000) | 0.961 (0.937–0.986) | 0.700 (0.536–0.864) | 0.996 (0.987–1.000) | 0.986 (0.972–1.000) | 0.961 (0.937–0.985) |
XGB | 0.864 (0.720–1.000) | 0.858 (0.814–0.903) | 0.365 (0.235–0.496) | 0.985 (0.969–1.000) | 0.914 (0.844–0.984) | 0.859 (0.816–0.902) |
DTC | 0.500 (0.291–0.709) | 0.991 (0.980–1.000) | 0.846 (0.650–1.000) | 0.955 (0.928–0.981) | 0.746 (0.639–0.853) | 0.949 (0.922–0.976) |
Testing set | Â | Â | Â | Â | Â | Â |
RF | 0.333 (0.025–0.641) | 0.851 (0.782–0.921) | 0.167 (0.000–0.339) | 0.935 (0.884–0.985) | 0.766 (0.626–0.905) | 0.809 (0.736–0.883) |
XGB | 0.444 (0.120–0.769) | 0.792 (0.713–0.871) | 0.160 (0.016–0.304) | 0.941 (0.891–0.991) | 0.661 (0.478–0.843) | 0.764 (0.684–0.843) |
DTC | 0.222 (0.000–0.494) | 0.980 (0.953–1.000) | 0.500 (0.010–0.990) | 0.934 (0.887–0.981) | 0.601 (0.457–0.746) | 0.918 (0.867–0.969) |