Alexander Gerharz

Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

2022 · arXiv (Cornell University)

Tree-based ensembles such as the Random Forest are modern classics among statistical learning methods. In particular, they are used for predicting univariate responses. In case of multiple outputs the question arises whether we separately fit …