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20182026
most citedMachine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

9 citations · 22 across the 10 of their papers we have counts for

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2 papers · 1 filter

stat.ML2022★ 3 cited

Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features

Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin

Life assurance companies typically possess a wealth of data covering multiple systems and databases. These data are often used for analyzing the past and for describing the present…

stat.ML2022★ 9 cited

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

Lena Schmid, Alexander Gerharz, Andreas Groll +1

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…