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. 2018 Sep 12;7(9):277. doi: 10.3390/jcm7090277

Table 3.

Performance of DNN across all data, the training set, and the test set.

Dataset F1 Precision Recall AUROC AUROC 95% CI AUROC SE
All data (n = 1349640) 0.931 0.982 0.889 0.738 0.734–0.742 0.002
Training set (n = 1315899) 0.931 0.982 0.889 0.739 0.735–0.743 0.002
Test set (n = 337410) 0.929 0.980 0.886 0.700 0.674–0.727 0.013