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Table 6 Metrics of machine learning models for two most common and ‘disease’ 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 0.22 0.36 0.30 0.30 0.31
  Recall 0.20 0.22 0.11 0.11 0.39
  F1-Score 0.21 0.27 0.16 0.16 0.34
Isolated Precision 0.66 0.72 0.71 0.71 0.71
  Recall 0.57 0.84 0.88 0.88 0.62
  F1-Score 0.61 0.77 0.78 0.78 0.66
Death Precision 0.08 0.71 0.56 0.56 0.30
  Recall 0.86 0.71 0.71 0.71 0.43
  F1-Score 0.15 0.71 0.63 0.63 0.35
  Accuracy 0.47 0.66 0.66 0.66 0.55