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Table 5 Performance comparison of five models

From: Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU

Model

Overall performance

Discrimination

Brier score

95% CI

AUROC

95% CI

Sensitivity

95% CI

Specificity

95% CI

LASSO

0.108

0.107–0.109

0.829

0.827–0.831

0.744

0.721–0.767

0.754

0.731–0.777

GBM

0.104

0.102–0.105

0.845

0.837–0.853

0.771

0.750–0.792

0.755

0.722–0.789

RF

0.109

0.108–0.109

0.829

0.823–0.834

0.765

0.756–0.774

0.740

0.719–0.761

LR

0.107

0.105–0.108

0.833

0.830–0.838

0.760

0.740–0.780

0.748

0.724–0.772

SAPS II

0.146

0.142–0.150

0.77

0.760–0.780

0.697

0.668–0.725

0.714

0.695–0.734