my_rf_cv: Random Forest Cross-Validation Function
In laurenng/stat302Package: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
This function performs a cross validation using the random forest package
to train a model. predicting body_mass_g using the covariates of
bill_length_mm, bill_depth_mm, and flipper_length_mm.
Usage
1
my_rf_cv(k)
Arguments
k
number of folds
Value
number with the cross-validation error value
Examples
1
my_rf_cv(4)
laurenng/stat302Package documentation built on Dec. 21, 2021, 9:42 a.m.
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.
Description Usage Arguments Value Examples
Description
This function performs a cross validation using the random forest package
to train a model. predicting body_mass_g using the covariates of
bill_length_mm, bill_depth_mm, and flipper_length_mm.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
number of folds |
Value
number with the cross-validation error value
Examples
1 | my_rf_cv(4)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.