my_rf_cv: Random Forest Cross-Validation.
In MatteVin/myfirstpackage: The first package
Description
Usage
Arguments
Value
Examples
Description
my_rf_cv implements Breiman's random forest algorithm (based on Breiman and
Cutler's original Fortran code) for classification and regression. The
function runs the algoritms for the given number of folds and implements the
algoritm on my_gapminder, predicting lifeExp using covariate gdpPercap.
Usage
1
my_rf_cv(k)
Arguments
k
number of folds.
Value
Return the average Mean Squared Error across all k folds.
Examples
1
2
MatteVin/myfirstpackage documentation built on March 20, 2020, 9:45 p.m.
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Description Usage Arguments Value Examples
Description
my_rf_cv implements Breiman's random forest algorithm (based on Breiman and Cutler's original Fortran code) for classification and regression. The function runs the algoritms for the given number of folds and implements the algoritm on my_gapminder, predicting lifeExp using covariate gdpPercap.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
number of folds. |
Value
Return the average Mean Squared Error across all k folds.
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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