Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms

5 December 2018

Papers citing "Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms"

4 / 4 papers shown

Title
Use of low-fidelity models with machine-learning error correction for well placement optimization Haoyu Tang L. Durlofsky AI4CE 11 18 0 30 Oct 2021
Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas Daniel Baez Pablo Barceló Jorge A. Pérez Bernardo Subercaseaux ReLM LRM 21 24 0 05 Oct 2021
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 82 448 0 13 Jul 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties Jasmin Bogatinovski L. Todorovski S. Džeroski D. Kocev 16 6 0 28 Jun 2021