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. 2022 Jun 8;17(6):e0267554. doi: 10.1371/journal.pone.0267554

Table 5. Predictive performance based on random forest for the training, test, and external dataset.

Dataset Year Number Accuracy (%) Sensitivity (%) Specificity (%) AUC
Training 2007–2018 8644 83.39 83.02 83.76 0.9197
Test 8644 64.78 66.58 64.16 0.7208
External 2019–2020 3352 62.98 68.55 60.97 0.7123