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Pitfalls and potentials in simulation studies: Questionable research
  practices in comparative simulation studies allow for spurious claims of
  superiority of any method

Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method

24 March 2022
Samuel Pawel
Lucas Kook
K. Reeve
ArXivPDFHTML

Papers citing "Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method"

4 / 4 papers shown
Title
Position: Why We Must Rethink Empirical Research in Machine Learning
Position: Why We Must Rethink Empirical Research in Machine Learning
Moritz Herrmann
F. J. D. Lange
Katharina Eggensperger
Giuseppe Casalicchio
Marcel Wever
Matthias Feurer
David Rügamer
Eyke Hüllermeier
A. Boulesteix
Bernd Bischl
39
6
0
03 May 2024
On the role of benchmarking data sets and simulations in method
  comparison studies
On the role of benchmarking data sets and simulations in method comparison studies
Sarah Friedrich
T. Friede
15
24
0
02 Aug 2022
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,708
0
18 Aug 2015
A Plea for Neutral Comparison Studies in Computational Sciences
A Plea for Neutral Comparison Studies in Computational Sciences
A. Boulesteix
M. Eugster
38
119
0
13 Aug 2012
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