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Table 2 Model performance within cross-validation, applied to the testing set, and stratified by site

From: Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites

Model Cohort Measure AUROC AUPRC
Lasso regression Training
(Cross-validation)
Mean
[min, max]
78.8
[78.0, 80.2]
21.0
[18.3, 22.0]
XGBoost Training
(Cross-validation)
Mean
[min, max]
84.6
[83.8, 86.0]
25.7
[21.2, 27.4]
Random forest Training
(Cross-validation)
Mean
[min, max]
86.9
[85.3, 87.7]
26.4
[20.1, 31.0]
Testing
(Bootstrapped)
Median
[95% CI]
87.2
[86.1, 88.2]
28.0
[25.0, 31.0]
 Brooklyn Median
[95% CI]
83.8
[81.9, 85.6]
26.6
[22.5, 31.0]
 Non-Brooklyn Median
[95% CI]
88.9
[87.5, 90.2]
30.1
[26.4, 33.7]