Raw performance metrics for the Random Forest (RF) 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). Similar to the preceding tables, it presents the mean AUC and 95% CIs for the local and federated models at each hospital. The performance gain, measured by the ΔAUC and its 95% CI, is also shown, offering a detailed comparison for this ensemble-based learning method.
(XLSX)