Raw performance metrics for the Logistic Regression (LR) model.

The table presents the raw output from the bootstrap analysis, showing the mean, lower, and upper confidence interval bounds for the AUC of local and federated models, and the performance gain (ΔAUC). For each of the 21 participating hospitals, the table lists the mean Area Under the Curve (AUC) and its 95% confidence interval (CI) for both the locally trained and the federated models. The final columns quantify the performance gain via the mean Delta AUC (ΔAUC) and its 95% CI, providing a direct, hospital-by-hospital comparison between the two learning approaches for this linear model. (XLSX)