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Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data.
Christine Sinoquet
Kamel Mekhnacha
Published in:
DSAA (2018)
Keyphrases
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highly correlated
random forest
feature selection
data sets
data analysis
feature set
training data
data points
machine learning
knowledge discovery
image segmentation
text mining
high correlation