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Table 4 Summary of the results for the baseline models on test set using the same possible inputs as fed to the proposed model, but in the original tabular format

From: Prediction of unplanned 30-day readmission for ICU patients with heart failure

Models

AUROC

AUROC 95% CI

Precision

Sensitivity

Accuracy

F-score

RF

0.713

[0.691–0.761]

0.750

0.801

0.828

0.760

XGBoost

0.701

[0.685–0.756]

0.731

0.804

0.826

0.763

CatBoost

0.704

[0.674–0.759]

0.692

0.800

0.829

0.752

SVM

0.680

[0.657–0.712]

0.691

0.801

0.828

0.753

Decision tree

0689

[0.669–0.721]

0.724

0.691

0.688

0.710

KNN

0.696

[0.657–0.731]

0.725

0.802

0.815

0.751

  1. RF, random forest; SVM, support vector machine; KNN, K-nearest neighbors
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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