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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