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Table 4 Model Selection metrics. Resulting values of the model selection metrics of the models validated on participant 588 data sorted by F\(_\beta\)-score

From: Data-driven meal events detection using blood glucose response patterns

ID:588 Meals: 43

Classifier

Predictions

FP

FN

TP

PPV

TPR

F\(_1\)-score

F\(_2\)-score

AdaBoost

49

17

11

32

0.65

0.74

0.70

0.72

Random Forest

41

12

14

29

0.71

0.67

0.69

0.68

Gradient Boosting

47

17

13

30

0.64

0.70

0.67

0.68

Decision Tree

38

13

18

25

0.66

0.58

0.62

0.60

MLP

38

13

18

25

0.66

0.58

0.62

0.60

Gaussian Naive Bayes

36

15

22

21

0.58

0.49

0.53

0.50

  1. FP false positives, FN false negatives, TP true positives, PPV (precision) positive predictive value, TPR (recall) true positive rate
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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