Yonatan Motbaynor Tebabal

Benchmark study of ensemble machine learning with feature selection for rice yield prediction

The results demonstrate the effectiveness of combining ensemble learning and feature selection for improving prediction accuracy and model interpretability and verify that prediction accuracy, resilience, and interpretability are slightly improved when ensemble learning and feature selection are combined.