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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]