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. 2022 Sep 19;17(9):e0274691. doi: 10.1371/journal.pone.0274691

Table 2. Summary of the performances for the 5- and 10-year follow-ups achieved by Model 1, Model 2, and Model 3 over the ten training sets after applying a 20 5-fold cross validation procedure.

Follow-up Model AUC (%) Accuracy (%) Sensitivity (%) Specificity (%)
Model 1 68.1 [66.8–69.4] 66.8 [65.9–68.1] 52.8 [50.8–55.0] 72.3 [71.1–73.6]
5 years Model 2 94.8 [93.7–95.7] 88.8 [87.7–90.0] 81.9 [78.7–84.6] 91.2 [90.1–92.0]
Model 3 83.8 [79.5–86.8] 75.8 [71.6–79.1] 77.1 [71.4–81.3] 73.7 [69.6–78.6]
10 years Model 1 68.0 [66.7–69.6] 64.3 [62.9–65.3] 58.0 [55.9–60.1] 68.0 [66.3–69.4]
Model 2 94.4 [93.9–95.5] 87.0 [85.6–88.2] 83.5 [81.5–85.2] 88.9 [87.4–90.3]
Model 3 89.9 [86.0–92.3] 82.4 [78.5–85.1] 84.0 [79.6–87.6] 80.0 [73.5–84.4]

The performances are evaluated in percentage median values of AUC, accuracy, sensitivity, and specificity. The percentage first and third quartile values are also computed and reported in brackets.