Table 2 The prediction performance of each model in validation sets.

From: Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children

Model

AUC

Accuracy

Kappa

Sensitivity

Specificity

PPV

NPV

Precision

Recall

Logistic

0.879

0.831

0.425

0.836

0.790

0.969

0.379

0.969

0.836

DT

0.830

0.829

0.405

0.839

0.746

0.963

0.370

0.963

0.839

RF

0.905

0.856

0.472

0.866

0.780

0.969

0.423

0.969

0.866

XGB

0.908

0.811

0.411

0.805

0.859

0.978

0.357

0.978

0.805

SVM

0.889

0.828

0.418

0.834

0.785

0.969

0.374

0.969

0.834

KNN

0.834

0.712

0.269

0.697

0.834

0.971

0.258

0.971

0.697

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