output
20162021
most citedHyperparameters and Tuning Strategies for Random Forest

1.6k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

q-bio.OT2021

Nachhaltige Strategien gegen die COVID-19-Pandemie in Deutschland im Winter 2021/2022

Viola Priesemann, Eberhard Bodenschatz, Sandra Ciesek +18

In this position paper, a large group of interdisciplinary experts outlines response strategies against the spread of SARS-CoV-2 in the winter of 2021/2022 in Germany. We review th…

stat.AP2020★ 29 cited

Nowcasting fatal COVID-19 infections on a regional level in Germany

Marc Schneble, Giacomo De Nicola, Göran Kauermann +1

We analyse the temporal and regional structure in mortality rates related to COVID-19 infections. We relate the fatality date of each deceased patient to the corresponding day of r…

stat.ML2020★ 125 cited

Large-scale benchmark study of survival prediction methods using multi-omics data

Moritz Herrmann, Philipp Probst, Roman Hornung +2

Multi-omics data, that is, datasets containing different types of high-dimensional molecular variables (often in addition to classical clinical variables), are increasingly generat…

stat.ML2018★ 1.6k cited

Hyperparameters and Tuning Strategies for Random Forest

Philipp Probst, Marvin Wright, Anne-Laure Boulesteix

The random forest algorithm (RF) has several hyperparameters that have to be set by the user, e.g., the number of observations drawn randomly for each tree and whether they are dra…

stat.CO2016★ 30 cited

Generalised Linear Model Trees with Global Additive Effects

Heidi Seibold, Torsten Hothorn, Achim Zeileis

Model-based trees are used to find subgroups in data which differ with respect to model parameters. In some applications it is natural to keep some parameters fixed globally for al…