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

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

5 December 2018

R. G. Mantovani

Tomáš Horváth

André L. D. Rossi

Sylvio Barbon Junior

Joaquin Vanschoren

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

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Title
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification Abhay Kumar Pathak Mrityunjay Chaubey Manjari Gupta 116 0 0 27 Nov 2024
A Uniform Language to Explain Decision Trees Marcelo Arenas Pablo Barceló Diego Bustamante Jose Caraball Bernardo Subercaseaux 54 1 0 18 Oct 2023
Use of low-fidelity models with machine-learning error correction for well placement optimization Haoyu Tang L. Durlofsky AI4CE 56 19 0 30 Oct 2021
Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas Daniel Baez Pablo Barceló Jorge A. Pérez Bernardo Subercaseaux ReLM LRM 172 25 0 05 Oct 2021
Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases P. Santos 19 1 0 12 Aug 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties Jasmin Bogatinovski L. Todorovski Jannis Brugger D. Kocev 44 6 0 28 Jun 2021
Machine Learning for Performance-Aware Virtual Network Function Placement D. Manias Manar Jammal Hassan Hawilo Abdallah Shami P. Heidari Adel Larabi Richard Brunner 51 35 0 13 Jan 2020