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Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
DF_dataPre(X, thres = 0.95)
Training Dataset
Correlation Coefficient threshold to filter out high correlated features; default is 0.95
Keep_feat: qualified features in data matrix after filtering
# NOT RUN { ##data(iris) X = iris[,1:4] Keep_feat = DF_dataPre(X) # }
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