Table 2 Model performance comparison of the five machine learning models.

From: Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study

Model

Accuracy

AUC

Precision

Recall

F1-score

Logistic regression

0.796

0.818

0.771

0.675

0.720

Random forest

0.845

0.866

0.962

0.625

0.758

SVM

0.854

0.853

0.963

0.650

0.776

XGBoost

0.825

0.879

0.844

0.675

0.750

Deep neural network

0.786

0.817

0.725

0.725

0.725

  1. AUC, area under the curve; ROC, receiver operating characteristic; SVM, support vector machine; XGBoost, extreme gradient boosting.
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