A comparison of random forest variable selection methods for classification prediction modeling-Reference-Cited by-同舟云学术

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A comparison of random forest variable selection methods for classification prediction modeling

Published:2019-11 Issue: Volume:134 Page:93-101
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Speiser Jaime Lynn,Miller Michael E.,Tooze Janet,Ip Edward

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Permutation importance: A corrected feature importance measure;Altmann;Bioinformatics,2010

2. Random forests;Breiman;Machine Learning,2001

3. Classification and regression trees;Breiman,1984

4. Feature subset selection filter–wrapper based on low quality data;Cadenas;Expert Systems with Applications,2013

5. Automatic selection of molecular descriptors using random forest: Application to drug discovery;Cano;Expert Systems with Applications,2017

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