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Table 2 Performance of machine learning models

From: Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes

  AUC PPV TPR F1 score
Logistic regression 0.82 0.63 0.25 0.35
Random forest 0.86 0.81 0.34 0.48
AdaBoost 0.84 0.68 0.32 0.44
Gradient boosting 0.83 0.55 0.39 0.46
XGBoost 0.87 0.77 0.37 0.50
ANN 0.86 0.77 0.34 0.47
Majority voting 0.87 0.82 0.33 0.47
  1. AUC area under the curve, PPV positive predictive value, TPR true positive rate
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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