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

Table 4 Classification performance of gender-specific reduced {WHR, BMI} predictive models.

(Strategy) Fitted Model	Total % Correct	Sensitivity	Specificity	+ Predictive Value (PPV)	- Predictive Value (NPV)
Model based on Vaud-Fribourg women (n = 572), cross-validated on Ticino women (n = 741).
(0) No	78 ^c	0	100	0	78
Model ^a	(74) ^d	(0)	(100)	(0)	(74)
(1) Linear	78	19	95	53	80
Regression	(76)	(33)	(91)	(55)	(79)
(2) Logistic	78	19	95	53	80
Classification	(75)	(32)	(91)	(54)	(79)
(3) 3-Node	80	40	92	59	84
Reg. Tree ^d	(75)	(45)	(86)	(52)	(82)
(4) 3-Node	81	38	93	62	84
Class. Tree ^e	(75)	(44)	(86)	(53)	(82)
Model based on Vaud-Fribourg men (n = 548), cross-validated on Ticino men (n = 688)
(0) No	62 ^c	100	0	62	0
Model ^b	(64) ^d	(100)	(0)	(64)	(0)
(1) Linear	63	88	24	65	55
Regression	(69)	(91)	(30)	(70)	(65)
(2) Logistic	64	86	29	66	55
Classification	(68)	(88)	(33)	(70)	(60)
(3) 3-Node	65	78	45	70	56
Reg. Tree ^d	(66)	(76)	(47)	(72)	(52)
(4) 5-Node	68	78	51	72	59
Class. Tree ^f	(67)	(78)	(47)	(73)	(54)

^a All women classified as non-dyslipidemic (modal category). ^b All men classified as dyslipidemic (modal category). ^c Resubstitution estimate. ^d (Cross-validation estimate). ^d Same variables and classifications as 3-node, full model regression tree. ^e Same variables and classifications as 3-node, full model classification tree. ^e Same variables and classifications as 5-node, full model classification tree.

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