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Table 3 Evaluation indicators in testing set of XGBoost, XGBoost_10 and XGBoost_HPO models

From: Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome

Model

Accuracy

Sensitivity

Specificity

PPV

NPV

F1_score

XGBoost

0.882

0.813

0.896

0.619

0.958

0.703

XGBoost_10

0.849

0.781

0.864

0.543

0.950

0.641

XGBoost_HPO

0.866

0.813

0.877

0.578

0.957

0.675

  1. XGBoost, eXtreme gradient boosting; HPO, hyperparameter optimization; PPV, positive prediction value; NPV, negative prediction value
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BMC Pulmonary Medicine

ISSN: 1471-2466

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