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Table 5 Results on the hybrid validation for the two best models

From: MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study

  Hybrid validation: centre C
  AUC
(95% CI)
ACC %
(95% CI)
[rate]
SE %
(95% CI)
[rate]
SP %
(95% CI)
[rate]
NPV %
(95% CI)
[rate]
PPV %
(95% CI)
[rate]
Train_MAN + Val_AUTO 0.69
(60–89)
75
(53–88)
[21/28]
80
(50–95)
[12/15]
69
(37–90)
[9/13]
75
(54–86)
[9/12]
75
(55–83)
[12/16]
Train_AUTO + Val_MAN 0.62
(52–73)
64
(44–81)
[18/28]
47
(21–73)
[7/15]
85
(55–98)
[11/13]
58
(45–70)
[11/19]
78
(47–93)
[7/9]
  1. AUC Area under the curve, ACC Accuracy, NPV Negative predictive value, PPV Positive predictive value, SE Sensitivity, SP Specificity