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Table 3 Performance of different models in the internal and external validations

From: Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China

  Logistic regression Ridge regression Random forest Support vector machine
Internal validation
 AUROC (95% CI) 0.919 (0.793–0.955) 0.930 (0.914–0.943) 0.973 (0.935–0.993) 0.955 (0.892–0.993)
External validation
 AUROC (95% CI) 0.756 (0.617–0.869) 0.827 (0.716–0.921) 0.795 (0.669–0.905) 0.802 (0.682–0.908)
  1. AUROC Area under the receiver operator characteristic curve, CI Confidence interval