my_rf_cv: My random forest cross validation
In thulinjt/project3package: Project 3 Package
Description
Usage
Arguments
Value
Examples
Description
This function calculates the cross-validation error of a k-fold
cross-validation of a 100-branch random forest algorithm performed on three variables
of the penguins data.
Usage
1
my_rf_cv(k)
Arguments
k
A numeric containing the number of folds to use in the k-fold
cross-validation.
Value
A numeric representing the average mean-squared-error across all
k folds.
Examples
1
my_rf_cv(3)
thulinjt/project3package documentation built on March 22, 2021, 2:41 p.m.
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Description Usage Arguments Value Examples
Description
This function calculates the cross-validation error of a k-fold
cross-validation of a 100-branch random forest algorithm performed on three variables
of the penguins data.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
A numeric containing the number of folds to use in the k-fold cross-validation. |
Value
A numeric representing the average mean-squared-error across all
k folds.
Examples
1 | my_rf_cv(3)
|
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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