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. 2022 May 3;6:19. doi: 10.1186/s41747-022-00272-2

Table 3.

Performances for the manual model

Construction set: centre A + centre B
AUC
(95% CI)
ACC %
(95% CI)
[rate]
SE %
(95% CI)
[rate]
SP %
(95% CI)
[rate]
NPV %
(95% CI)
[rate]
PPV %
(95% CI)
[rate]
MRMR+EL (AdaBoost)

1.00

(93–100)

99

(92–100)

100

(97–100)

98

(87–100)

100

(80–99)

96

(95–100)

[66/67] [39/39] [27/28] [27/27] [39/40]
Ranking+EL (Bag)

0.99

(92–100)

94

(85–98)

97

(80–98)

90

(81–100)

96

(74–96)

93

(84–100)

[63/67] [37/38] [26/29] [26/27] [37/40]
Ranking+SVM Gaussian

0.87

(79–95)

81

(69–89)

93

(76–99)

73

(67–88)

94

(79–98)

69

(58–79)

[54/67] [25/27] [29/40] [29/31] [25/36]
Ranking+LR stepwise

0.69

(67–85)

80

(69–89)

[54/67]

89

(71–98)

[24/27]

75

(59–87)

[30/40]

91

(77–97)

[30/33]

70

(57–80)

[24/34]

Ranking+SVM polynomial

0.90

(82–97)

83

(71–90)

[55/67]

85

(66–96)

[23/27]

80

(64–91)

[32/40]

89

(76–95)

[32/36]

74

(60–84)

[23/31]

Validation set: centre C
Ranking+SVM polynomial

0.61

(52–74)

68

(48–84)

[19/28]

60

(32–83)

[9/15]

77

(47–95)

[10/13]

63

(46–76)

[10/16]

75

(60–90)

[9/12]

AUC Area under the curve, ACC Accuracy, NPV Negative predictive value, PPV Positive predictive value, SE Sensitivity, SP Specificity