feature_selection_corr: Feature selection by correlation
In daltoolbox: Leveraging Experiment Lines to Data Analytics
View source: R/trans_feature_selection_corr.R
feature_selection_corr R Documentation
Feature selection by correlation
Description
Remove highly correlated numeric features based on a correlation cutoff.
Usage
feature_selection_corr(cutoff = 0.9)
Arguments
cutoff
correlation cutoff in [0, 1] above which one feature is removed
Details
Uses caret::findCorrelation on the correlation matrix computed from numeric columns.
Value
returns an object of class feature_selection_corr
Examples
data(iris)
fs <- feature_selection_corr(cutoff = 0.9)
fs <- fit(fs, iris)
iris_fs <- transform(fs, iris)
names(iris_fs)
daltoolbox documentation built on Feb. 10, 2026, 9:06 a.m.
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View source: R/trans_feature_selection_corr.R
| feature_selection_corr | R Documentation |
Feature selection by correlation
Description
Remove highly correlated numeric features based on a correlation cutoff.
Usage
feature_selection_corr(cutoff = 0.9)
Arguments
cutoff |
correlation cutoff in [0, 1] above which one feature is removed |
Details
Uses caret::findCorrelation on the correlation matrix computed from numeric columns.
Value
returns an object of class feature_selection_corr
Examples
data(iris)
fs <- feature_selection_corr(cutoff = 0.9)
fs <- fit(fs, iris)
iris_fs <- transform(fs, iris)
names(iris_fs)
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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