DF_dataPre {Dforest}R Documentation

Decision Forest algorithm: Data pre-processing

Description

Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features

Usage

DF_dataPre(X, thres = 0.95)

Arguments

X

Training Dataset

thres

Correlation Coefficient threshold to filter out high correlated features; default is 0.95

Value

Keep_feat: qualified features in data matrix after filtering

Examples

 ##data(iris)
  X = iris[,1:4]
  Keep_feat = DF_dataPre(X)

[Package Dforest version 0.4.2 Index]