SuperLearner

SuperLearner is an R package for predictive model ensembling, enabling users to automatically combine multiple machine learning algorithms to optimize predictive performance. It supports a wide range of algorithms (like XGBoost, Random Forest, Neural Networks, and more), hyperparameter tuning, custom loss functions, and parallelization, all via a user-friendly interface. Designed mainly for data scientists and statisticians, it is ideal for improving prediction accuracy in both academic and applied research settings.