my_rf_cv: Random Forest Cross-Validation
In marquesjchacon/myfirstpackage: Package Building Demonstration
Description
Usage
Arguments
Value
Examples
Description
This function uses the my_gapminder dataset and predicts the Life
Expectancy at birth (in years) from GDP per capita, using Random Forest
Cross-Validation.
Usage
1
my_rf_cv(k)
Arguments
k
Numeric indicating the number of folds with which to separate our
dataset.
Value
Numeric representing the average Mean Squared Error across all
k folds (the cross-validation error).
Examples
1
2
marquesjchacon/myfirstpackage documentation built on April 2, 2020, 9:42 p.m.
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Description Usage Arguments Value Examples
Description
This function uses the my_gapminder dataset and predicts the Life
Expectancy at birth (in years) from GDP per capita, using Random Forest
Cross-Validation.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
Numeric indicating the number of folds with which to separate our dataset. |
Value
Numeric representing the average Mean Squared Error across all
k folds (the cross-validation error).
Examples
1 2 |
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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