Dforest (version 0.4.2)

DF_dataFs: Decision Forest algorithm: Feature Selection in pre-processing

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

# NOT RUN {
 ##data(iris)
  X = iris[iris[,5]!="setosa",1:4]
  Y = iris[iris[,5]!="setosa",5]
  used_feat = DF_dataFs(X, Y)
# }