Philipp Probst | DeepAI

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Featured Co-authors

Bernd Bischl
93 publications
Daniel Kuhn
26 publications
Giuseppe Casalicchio
23 publications
Florian Pfisterer
22 publications
Janek Thomas
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Anne-Laure Boulesteix
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Jan N. van Rijn
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Andreas Muller
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Clemens Stachl
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Moritz Herrmann
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Quay Au
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∙ 03/07/2020

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

Multi-omics data, that is, datasets containing different types of high-d...

0 Moritz Herrmann, et al. ∙

∙ 11/23/2018

Learning Multiple Defaults for Machine Learning Algorithms

The performance of modern machine learning methods highly depends on the...

0 Florian Pfisterer, et al. ∙

∙ 06/28/2018

Automatic Exploration of Machine Learning Experiments on OpenML

Understanding the influence of hyperparameters on the performance of a m...

0 Daniel Kuhn, et al. ∙

∙ 04/10/2018

Hyperparameters and Tuning Strategies for Random Forest

The random forest algorithm (RF) has several hyperparameters that have t...

0 Philipp Probst, et al. ∙

∙ 02/26/2018

Tunability: Importance of Hyperparameters of Machine Learning Algorithms

Modern machine learning algorithms for classification or regression such...

0 Philipp Probst, et al. ∙

∙ 05/16/2017

To tune or not to tune the number of trees in random forest?

The number of trees T in the random forest (RF) algorithm for supervised...

0 Philipp Probst, et al. ∙

∙ 03/27/2017

Multilabel Classification with R Package mlr

We implemented several multilabel classification algorithms in the machi...

0 Philipp Probst, et al. ∙

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