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

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

16 May 2017
Philipp Probst
A. Boulesteix
ArXivPDFHTML

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

13 / 13 papers shown
Title
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine
Alexandre Forel
Idriss Malek
Thibaut Vidal
41
0
0
28 Aug 2024
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Ketevan Gurtskaia
Jakob Schwerter
Philipp Doebler
Markus Pauly
Philipp Doebler
AI4CE
71
0
0
25 Jan 2024
Are Ensembles Getting Better all the Time?
Are Ensembles Getting Better all the Time?
Pierre-Alexandre Mattei
Damien Garreau
OOD
FedML
48
1
0
29 Nov 2023
Heterogeneous Oblique Double Random Forest
Heterogeneous Oblique Double Random Forest
M. A. Ganaie
M. Tanveer
I. Beheshti
N. Ahmad
Ponnuthurai Nagaratnam Suganthan
11
2
0
13 Apr 2023
Benchmarking optimality of time series classification methods in
  distinguishing diffusions
Benchmarking optimality of time series classification methods in distinguishing diffusions
Zehong Zhang
Fei Lu
Esther Xu Fei
Terry Lyons
Y. Kevrekidis
Tom Woolf
AI4TS
39
0
0
30 Jan 2023
Distributional Adaptive Soft Regression Trees
Distributional Adaptive Soft Regression Trees
Nikolaus Umlauf
Nadja Klein
16
1
0
19 Oct 2022
Machine Learning to Support Triage of Children at Risk for Epileptic
  Seizures in the Pediatric Intensive Care Unit
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
Raphael Azriel
Cecil D. Hahn
Thomas De Cooman
S. Van Huffel
E. Payne
Kristin McBain
Danny Eytan
Joachim A. Behar
17
6
0
11 May 2022
Geometry- and Accuracy-Preserving Random Forest Proximities
Geometry- and Accuracy-Preserving Random Forest Proximities
Jake S. Rhodes
Adele Cutler
Kevin R. Moon
29
76
0
29 Jan 2022
Oblique and rotation double random forest
Oblique and rotation double random forest
M. A. Ganaie
M. Tanveer
Ponnuthurai Nagaratnam Suganthan
V. Snás̃el
16
48
0
03 Nov 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
85
455
0
13 Jul 2021
Two-Step Meta-Learning for Time-Series Forecasting Ensemble
Two-Step Meta-Learning for Time-Series Forecasting Ensemble
E. Vaičiukynas
Paulius Danėnas
Vilius Kontrimas
Rimantas Butleris
AI4TS
9
9
0
20 Nov 2020
Hyperparameters and Tuning Strategies for Random Forest
Hyperparameters and Tuning Strategies for Random Forest
Philipp Probst
Marvin N. Wright
A. Boulesteix
33
1,353
0
10 Apr 2018
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
113
2,735
0
18 Aug 2015
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