Comparative performance of seven supervised learning algorithms evaluated for the classification of native maize racial complexes using the 2010 PGMN dataset. The bar plots display Balanced Accuracy, F1-Score, Cohen’s Kappa and AUPRC scores for each model, highlighting the superior performance of the Boosted Ensemble (BE) method.