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. 2016 Feb 16;19(9):1543–1551. doi: 10.1017/S1368980016000185

Table 2.

Prevalence of achieving and not achieving dietary recommendations and accuracy of decision trees to predict this, using data mining techniques on the nutritional intake of 4156 individuals (2967 individuals for fruit and vegetables) from the UK National Diet and Nutrition Survey (2008–12)

Fruit & vegetables Free sugars Sodium Fat Saturated fat
No. achieving recommendation without oversampling 656 1472 2524 1045 795
% 22·1 35·4 60·7 25·1 19·1
SMOTE oversampling %* 252 % (yes) 85 % (yes) 54 % (no) 197 % (yes) 322 % (yes)
No. achieving recommendation after oversampling 2309* 2679 2524 3103 3354
No. not achieving recommendation after oversampling 2311* 2684 2513 3111 3361
Decision tree with the best trade-off between accuracy and number of predictor variables
Overall accuracy (%) 83·1 76·5 75·9 72·4 79·7
Sensitivity (%) 82·5 76·1 81·9 66·3 75·8
Specificity (%) 83·8 76·9 69·8 78·4 83·6
No. of predictor variables 11 28 28 33 28
% of all relevant food/nutrient (g) accounted for by predictor variables 21·0 31·2 13·4 13·0 27·4
Most accurate decision tree
Overall accuracy (%) 83·6 77·0 76·1 72·9 81·7
Sensitivity (%) 83·9 75·7 80·7 69·3 81·4
Specificity (%) 83·3 78·3 71·5 76·4 81·9
No. of predictor variables 50 64 49 123 156
% of all relevant food/nutrient (g) accounted for by predictor variables 30·8 38·6 25·4 29·5 42·7

SMOTE, Synthetic Minority Over-sampling TEchnique.

*

After oversampling using the SMOTE method (see online supplementary material).

Percentage of all fruit and vegetables (g) recorded, not just those contributing to 5-a-day portions (specifically, fruit juice can contribute a maximum of only one 5-a-day portion).