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Bias in random forest variable importance measures: Illustrations, sources and a solution.
Carolin Strobl
Anne-Laure Boulesteix
Achim Zeileis
Torsten Hothorn
Published in:
BMC Bioinform. (2007)
Keyphrases
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random forest
random forests
decision trees
fold cross validation
ensemble methods
feature set
multi label
higher order
ensemble learning
decision tree learning algorithms
feature extraction
evolutionary algorithm
small number
machine learning algorithms
prediction accuracy
feature importance