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
Showing stat.MLShow all

2 papers · 1 filter

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…