my_rf_cv: Random Forest cross-validation
In johnbdonovan/myFirstPackage: Package for STAT 302
Description
Usage
Arguments
Value
Examples
Description
This function calculates MSE erros of a random forest prediction of given
data.
Usage
1
my_rf_cv(train, k)
Arguments
train
Data set to train model on
k
Numeric input representing the number of folds to be use as
parameters
Value
List of numeric representing the average MSE error across the folds.
Examples
1
2
my_rf_cv(my_gapminder, 2)
my_rf_cv(my_gapminder, 5)
johnbdonovan/myFirstPackage documentation built on March 18, 2020, 12:12 a.m.
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Description Usage Arguments Value Examples
Description
This function calculates MSE erros of a random forest prediction of given data.
Usage
1 | my_rf_cv(train, k)
|
Arguments
train |
Data set to train model on |
k |
Numeric input representing the number of folds to be use as parameters |
Value
List of numeric representing the average MSE error across the folds.
Examples
1 2 | my_rf_cv(my_gapminder, 2)
my_rf_cv(my_gapminder, 5)
|
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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