OpenML: An R Package to Connect to the Machine Learning Platform OpenML

5 January 2017

Papers citing "OpenML: An R Package to Connect to the Machine Learning Platform OpenML"

9 / 9 papers shown

Title
Post-Selection Confidence Bounds for Prediction Performance Pascal Rink W. Brannath 27 1 0 24 Oct 2022
On the role of benchmarking data sets and simulations in method comparison studies Sarah Friedrich T. Friede 32 24 0 02 Aug 2022
Test for non-negligible adverse shifts Vathy M. Kamulete 15 3 0 07 Jul 2021
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 31 77 0 08 Jun 2020
Large-scale benchmark study of survival prediction methods using multi-omics data Moritz Herrmann Philipp Probst R. Hornung V. Jurinovic A. Boulesteix 14 77 0 07 Mar 2020
OpenML-Python: an extensible Python API for OpenML Matthias Feurer Jan N. van Rijn Arlind Kadra Pieter Gijsbers Neeratyoy Mallik Sahithya Ravi Andreas Müller Joaquin Vanschoren Frank Hutter ELM GP 25 87 0 06 Nov 2019
Hyperparameters and Tuning Strategies for Random Forest Philipp Probst Marvin N. Wright A. Boulesteix 33 1,351 0 10 Apr 2018
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 13 600 0 26 Feb 2018
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 41 151 0 11 Aug 2017