article Open AccessTop 1% cited
A comparison of random forest variable selection methods for classification prediction modeling
Expert Systems with Applications · 2019 · Vol. 134 · pp. 93–101
Jaime L. Speiser✉(Wake Forest University)Michael E. Miller(Wake Forest University)Janet A. Tooze(Wake Forest University)Edward H. Ip(Wake Forest University)
Data Mining Algorithms and ApplicationsHydrological Forecasting Using AINeural Networks and ApplicationsRandom forestComputer scienceFeature selectionMachine learningVariable (mathematics)Selection (genetic algorithm)Data miningArtificial intelligenceRandom variableStatistics
Funding
- National Institutes of Health
- National Center for Advancing Translational Sciences
Citations
1,463
FWCI
108.39
field-weighted impact
References
27
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100%
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Citations per year
References
Gene selection and classification of microarray data using random forest
BMC Bioinformatics · 2006 · 2,930 citations
Classification and Regression Trees.
Biometrics · 1984 · 23,850 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
Classification and Regression Trees.
Journal of the American Statistical Association · 1986 · 21,013 citations
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