Pre-defined variable algorithm, % (95% CIc) | Conditional tree algorithm, % (95% CI) | |||||
---|---|---|---|---|---|---|
Training cohort (N = 933) | Validation cohort (N = 1811) | Training cohort (N = 620) | Validation cohort (N = 693) | |||
Unweighted | Weighted | Unweighted | Weighted | |||
Sensitivity | 88.1 (81.7–92.9) | 79.4 (72.8–86.0) | 77.7 (74.1–80.7) | 71.4 (63.5–79.4) | 64.7 (56.6–72.8) | 62.6 (58.9–66.4) |
Specificity | 89.9 (84.2–95.1) | 92.5 (87.4–96.4) | 92.8 (90.6–94.7) | 96.2 (92.1–99.2) | 96.9 (93.4–99.3) | 97.8 (96.4–98.8) |
PPVa | 68.9 (59.0–81.8) | 72.0 (60.2–85.1) | 70.7 (64.8–76.7) | 82.6 (70.3–95.7) | 83.8 (71.0–95.9) | 86.4 (79.8–92.3) |
NPVb | 96.7 (95.1–98.1) | 94.8 (93.2–96.4) | 94.9 (94.1–95.6) | 93.0 (91.2–94.8) | 91.4 (90.1–93.6) | 92.2 (91.4–92.9) |
Correct classification | 89.5 (84.8–93.7) | 89.9 (85.6–93.5) | 90.1 (88.1–91.8) | 91.1 (87.9–94.0) | 90.6 (87.6–93.4) | 91.4 (90.1–92.5) |
Scaled Brier | 0.35 (0.06–0.61) | 0.36 (0.09–0.59) | 0.33 (0.20–0.45) | 0.45 (0.25–0.63) | 0.41 (0.21–0.58) | 0.42 (0.34–0.50) |