DF_dataFs: Decision Forest algorithm: Feature Selection in...

In Dforest: Decision Forest

Description

Decision Forest algorithm: feature selection for two-class predictions, kept statistical significant features pass the t-test

Usage

DF_dataFs(X, Y, p_val = 0.05)

Arguments

X	Training Dataset
Y	Training Labels
p_val	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[iris[,5]!="setosa",1:4]
  Y = iris[iris[,5]!="setosa",5]
  used_feat = DF_dataFs(X, Y)

Dforest documentation built on May 2, 2019, 6:38 a.m.