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Table 4 Metrics of machine learning models for three most common outcomes on dataset1

From: Maintaining proper health records improves machine learning predictions for novel 2019-nCoV

Outcome

Metric

AdaBoost

Bagging

Extra-trees

Decision tree

k-NN

Recovered

Precision

0.29

0.44

0.47

0.38

0.34

 

Recall

0.81

0.59

0.56

0.56

0.41

 

F1-Score

0.23

0.51

0.51

0.45

0.37

Isolated

Precision

0.82

0.85

0.84

0.84

0.81

 

Recall

0.30

0.81

0.83

0.78

0.78

 

F1-Score

0.44

0.83

0.83

0.81

0.80

Death

Precision

0.09

0.50

0.44

0.50

0.42

 

Recall

0.31

0.38

0.31

0.38

0.38

 

F1-Score

0.14

0.43

0.36

0.43

0.40

 

Accuracy

0.38

0.74

0.74

0.71

0.69