Table 4 Performance of the proposed model under 10-fold nested cross-validation. Reported values represent the mean ± standard deviation of each metric computed over the ten outer folds. All preprocessing steps were performed within the training folds only to avoid data leakage.

From: HMLA: A hybrid machine learning approach for enhancing stroke prediction models with missing data imputation techniques