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Table 3 Classification performance of overall (both genders) reduced {WHR, BMI, Gender} models for Vaud-Fribourg, with cross-validation on Ticino subjects.

From: Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models

(Strategy) Fitted Model

Total % Correct

Sensitivity

Specificity

+ Predictive Value (PPV)

- Predictive Value (NPV)

Classifications of both genders

(0) No

58 c

0

100

0

58

Model a

(56) d

(0)

(100)

(0)

(56)

(1) Linear

71

73

69

63

78

Regression

(72)

(78)

(68)

(66)

(79)

(2) Logistic

71

63

77

66

74

Classification

(72)

(67)

(77)

(70)

(74)

(3) 2-Node

72

58

82

69

73

Reg. Tree e

(70)

(56)

(82)

(71)

(70)

(4) 7-Node

74

70

77

69

78

Class. Tree f

(71)

(68)

(73)

(67)

(74)

Classifications of women only

(0) No

78 c

0

100

0

78

Model a

(74) d

(0)

(100)

(0)

(74)

(1) Linear

78

26

94

54

81

Regression

(75)

(39)

(88)

(53)

(80)

(2) Logistic

78

13

96

52

79

Classification

(76)

(27)

(94)

(60)

(79)

(3) 2-Node

78

8

98

59

79

Reg. Tree e

(76)

(16)

(97)

(65)

(77)

(4) 7-Node

81

41

93

63

84

Class. Tree f

(76)

(48)

(85)

(53)

(82)

Classifications of men only

(0) No

62 c

100

0

62

0

Model b

(64) d

(100)

(0)

(64)

(0)

(1) Linear

63

91

18

64

54

Regression

(69)

(95)

(22)

(69)

(70)

(2) Logistic

64

81

35

67

54

Classification

(68)

(84)

(38)

(71)

(57)

(3) 2-Node

65

77

46

70

55

Reg. Tree e

(65)

(74)

(48)

(72)

(50)

(4) 7-Node

67

81

44

70

59

Class. Tree f

(65)

(77)

(44)

(71)

(51)

  1. a All classified as non-dyslipidemic (modal category). b All classified as dyslipidemic (modal category). c Resubstitution estimate for Vaud-Fribourg data (n = 1,120 (572 women, 548 men)). d (Cross-validation estimate based on Ticino data (n = 1,429 (741 women, 688 men))). e Used (WHR) only; same classifications as 4-node, 5-node, 6-node, 7-node, and 9-node regression trees, which used (WHR, BMI), and same variable and classifications as 3-node regression tree. (Also same variable and classifications as for 2-node, full model regression tree.) f Used (WHR, BMI) only. (Also same variables and classifications as for 7-node, full model classification tree.)