https://maluque.netlify.app/tags/elmpce/Recent content in elmpce on MALFHugo -- gohugo.ioen© 2025-2026 Miguel Angel Luque-FernandezWed, 27 Apr 2016 00:00:00 +0000https://maluque.netlify.app/project/elmpce/Wed, 27 Apr 2016 00:00:00 +0000https://maluque.netlify.app/project/elmpce/To improve model selection and prediction in cancer epidemiology data adaptive ensemble learning methods based on the Super Learner as a method for variable selection via cross-validation are suitable. To selection of the optimal regression algorithm among all weighted combinations of a set of candidate machine learning algorithms the ensemble learning method improves model accuracy and prediction.