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Table 3 Performance of the decision tree on the training and test datasets

From: Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients

 

Precision

Recall

F1 score

Support

Training dataset

    

 Survivor

0.97

1.00

0.98

406

 Non-survivor

1.00

0.81

0.90

46

 Accuracy

  

0.98

452

Test dataset

    

 Survivor

0.98

0.99

0.98

178

 Non-survivor

0.94

0.83

0.88

16

 Accuracy

  

0.98

194