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

no code implementations • 14 Jan 2022 • Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly

Tree-based ensembles such as the Random Forest are modern classics among statistical learning methods.

regression

Deducing neighborhoods of classes from a fitted model

no code implementations • 11 Sep 2020 • Alexander Gerharz, Andreas Groll, Gunther Schauberger

The growing field of \emph{interpretable machine learning} tries to make up for the lack of interpretability in these complex (or even blackbox-)models by using specific techniques that can help to understand those models better.

BIG-bench Machine Learning Interpretable Machine Learning