Skip to main content

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.)
\