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Table 5 Metrics of machine learning models for three most common outcomes on dataset2

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 0.34 0.40 0.39 0.39 0.29
  Recall 0.12 0.18 0.12 0.12 0.31
  F1-Score 0.18 0.25 0.19 0.19 0.30
Isolated Precision 0.62 0.69 0.69 0.69 0.66
  Recall 0.50 0.88 0.91 0.91 0.64
  F1-Score 0.55 0.77 0.78 0.78 0.65
Death Precision 0.02 0.33 0.33 0.33 0.11
  Recall 0.40 0.10 0.20 0.20 0.10
  F1-Score 0.04 0.15 0.25 0.25 0.11
  Accuracy 0.38 0.65 0.65 0.65 0.53