Learning curves of a representative USMILE customized classifier, showing cross-validation scores for the training set (blue) and testing set (red). These scores are computed using fivefold stratified cross-validation with shuffling to preserve class balance across folds. The two curves converge at large sample sizes near 0.91, demonstrating the model’s strong generalization performance with a well-balanced bias–variance trade-off.