Description Usage Arguments Value Examples
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
1 | DF_dataPre(X, thres = 0.95)
|
X |
Training Dataset |
thres |
Correlation Coefficient threshold to filter out high correlated features; default is 0.95 |
Keep_feat: qualified features in data matrix after filtering
1 2 3 | ##data(iris)
X = iris[,1:4]
Keep_feat = DF_dataPre(X)
|
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