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Table 1 Classification metrics for the best performing model

From: Modifiable risk factors of vaccine hesitancy: insights from a mixed methods multiple population study combining machine learning and thematic analysis during the COVID-19 pandemic

 

Default classification threshold

 

Optimal classification threshold

  

Norwegian sample

 

 AUC

 

0.94

 

 AUPRC

 

0.72

 

 Brier score

 

0.04

 

 F1-score

 

0.63

 

 Accuracy

94.77%

 

90.87%

 Balanced accuracy

75.83%

 

86.27%

 Recall (sensitivity)

0.53

 

0.81

 Precision (PPV)

0.79

 

0.48

 Specificity

0.96

 

0.98

  

UK sample

 

 AUC

 

0.98

 

 AUPRC

 

0.89

 

 Brier score

 

0.04

 

 F1-score

 

0.72

 

 Accuracy

94.69%

 

94.28%

 Balanced accuracy

89.09%

 

89.96%

 Recall (sensitivity)

0.81

 

0.83

 Precision (PPV)

0.83

 

0.79

 Specificity

0.96

 

0.97