Table 3.
Method | Evaluation | Centre A | Centre B | Centre C | Centre D |
---|---|---|---|---|---|
RFLM (Train) | AUC | 0.865 | 0.842 | 0.868 | 0.831 |
Sensitivity | 0.732 (52/71) | 0.761 (67/88) | 0.781 (64/82) | 0.776 (52/67) | |
Specificity | 0.907 (166/183) | 0.833 (145/174) | 0.806 (179/222) | 0.778 (140/180) | |
Accuracy | 0.858 (218/254) | 0.809 (212/262) | 0.799 (243/304) | 0.777 (192/247) | |
PPV | 0.754 (52/69) | 0.698 (67/96) | 0.598 (64/107) | 0.565 (52/92) | |
NPV | 0.897 (166/185) | 0.874 (145/166) | 0.909 (179/197) | 0.903 (140/155) | |
RFLM (Test) | AUC | 0.816 | 0.811 | 0.852 | 0.824 |
Sensitivity | 0.681 (32/47) | 0.650 (26/40) | 0.807 (25/31) | 0.778 (28/36) | |
Specificity | 0.803 (98/122) | 0.812 (121/149) | 0.763 (71/93) | 0.684 (108/158) | |
Accuracy | 0.796 (130/169) | 0.778 (147/189) | 0.774 (96/124) | 0.701 (136/194) | |
PPV | 0.571 (32/56) | 0.482 (26/54) | 0.532 (25/47) | 0.359 (28/78) | |
NPV | 0.867 (98/113) | 0.896 (121/135) | 0.922 (71/77) | 0.931 (108/116) |
AUC area under the curve, PPV positive predictive value, NPV negative predictive value.