Table 5 Performance of logistic regression models on the five sub-datasets

Sub-dataset 1

 LRM-I

0.79 (0.68, 0.91)

< 0.001

60 (12/20)

75 (27/36)

70 (39/56)

0.35

 LRM-II

0.86 (0.76, 0.96)

< 0.001

70 (14/20)

81 (29/36)

77 (43/56)

0.43

Sub-dataset 2

 LRM-I

0.79 (0.66, 0.91)

< 0.001

70 (14/20)

64 (23/36)

66 (37/56)

0.35

 LRM-II

0.86 (0.76, 0.96)

< 0.001

75 (15/20)

83 (30/36)

80 (45/56)

0.43

Sub-dataset 3

 LRM-I

0.82 (0.70, 0.93)

< 0.001

80 (16/20)

78 (28/36)

79 (44/56)

0.35

 LRM-II

0.88 (0.79, 0.97)

< 0.001

75 (15/20)

81 (29/36)

79 (44/56)

0.43

Sub-dataset 4

 LRM-I

0.83 (0.72, 0.94)

< 0.001

85 (17/20)

69 (25/36)

75 (42/56)

0.35

 LRM-II

0.90 (0.83, 0.98)

 < 0.001

70 (14/20)

81 (29/36)

77 (43/56)

0.43

Sub-dataset 5

 LRM-I

0.78 (0.67, 0.90)

< 0.001

70 (14/20)

72 (26/36)

71 (40/56)

0.35

 LRM-II

0.86 (0.77, 0.96)

< 0.001

60 (12/20)

86 (31/36)

77 (43/56)

0.43