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Table 3 Performance of statistical models in predicting in-hospital VTE events, as measured on a sample testing dataset (20% of patients)

From: Venous thromboembolic disease in admitted blunt trauma patients: what matters?

 

Logistic

Random

forest

GBM

Logistic

Synthetic

Random

Forest synthetic

GBM

synthetic

TPR

0.64

0

0.48

0.64

0.45

0.27

TNR

0.83

1

0.88

0.83

0.93

0.98

FPR

0.95

0

0.94

0.90

0.05

0.88

FNR

0.01

0.02

0.01

0.01

0.08

0.01

Accuracy

0.82

0.98

0.87

0.83

0.92

0.97

Balanced Accuracy

0.80

0.50

0.68

0.74

0.69

0.62

F1 score

0.10

n/a

0.10

0.10

0.16

0.16

AUCROC

0.82

0.78

0.82

0.86

0.84

0.89

  1. Balanced accuracy is defined as (sensitivity + specificity)/2
  2. The F1 score is 2*True Positive/(True Positive + True Positive + False Positive + False Negative)
  3. TPR – true positive rate (i.e. sensitivity), TNR – true negative rate (i.e. specificity), FPR – false positive rate, FNR – false negative rate