Feature_Selection_RF: Title Feature Selection Using Random Forest
In HBPMedical/CCC: A wrapper to run the 3C methodology
Description
Usage
Arguments
Value
Examples
Description
Title Feature Selection Using Random Forest
Usage
1
Feature_Selection_RF(x, y, p = 0.1)
Arguments
x
Data matrix
y
Categorial dependent variable (factor)
p
Precentage of the number of variables to be chosen from x. Default value is 0.1.
Value
list of p precentage of the variables chosen by their Gini importance index.
Examples
1
# Feature_Selection_RF(x, y, p = 0.1)
HBPMedical/CCC documentation built on May 28, 2019, 12:40 p.m.
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Description Usage Arguments Value Examples
Description
Title Feature Selection Using Random Forest
Usage
1 | Feature_Selection_RF(x, y, p = 0.1)
|
Arguments
x |
Data matrix |
y |
Categorial dependent variable (factor) |
p |
Precentage of the number of variables to be chosen from x. Default value is 0.1. |
Value
list of p precentage of the variables chosen by their Gini importance index.
Examples
1 | # Feature_Selection_RF(x, y, p = 0.1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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