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. 2022 Dec 21;61(2):567–578. doi: 10.1007/s11517-022-02728-4

Table 2.

Classification performance on the test set across the four partitions

Partition AUC Sensitivity Specificity PPV NPV F1-score
1 0.8155 (0.6813, 0.9429) 0.7143 (0.4667, 0.9333) 0.9167 (0.8472, 0.9722) 0.6250 (0.3750, 0.8571) 0.9429 (0.8873, 0.9863) 0.7981 (0.6729, 0.9016)
2 0.9067 (0.8600, 0.9494) 1.0000 (1.0000, 1.0000) 0.8133 (0.7260, 0.8987) 0.3636 (0.1739, 0.5714) 1.0000 (1.0000, 1.0000) 0.7152 (0.5798, 0.8362)
3 0.7899 (0.6416, 0.9293) 0.6667 (0.3846, 0.9286) 0.9130 (0.8438, 0.9726) 0.5714 (0.3000, 0.8235) 0.9403 (0.8788, 0.9857) 0.7709 (0.6318, 0.8889)
4 0.9016 (0.8500, 0.9508) 1.0000 (1.0000, 1.0000) 0.8033 (0.6964, 0.9000) 0.3684 (0.1500, 0.6000) 1.0000 (1.0000, 1.0000) 0.7147 (0.5662, 0.8383)
x˜ 0.8586 0.8571 0.8632 0.4699 0.9714 0.7431

Data in parentheses are 95% confidence intervals

PPV positive predictive value, NPV negative predictive value, AUC area under the receiver operating characteristic curve