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

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)
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)
  1. 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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