my_rf_cv: random forest
In dzeng8/STAT302PACKAGE: STAT302 Demo Package
Description
Usage
Arguments
Value
Examples
Description
This function performs k-fold cross validation on a random forest model
generated from internal data on penguins. Model trained is
body_mass_g ~ bill_length_mm + bill_depth_mm + flipper_length_mm
and number of trees is 100. User can specify the number of folds to be used.
Usage
1
my_rf_cv(k)
Arguments
k
A numeric indicating the number of folds
Value
Returns average mean squared error of the random forest model across
all k folds from k-fold cross-validation
Examples
1
2
dzeng8/STAT302PACKAGE documentation built on Dec. 20, 2021, 2:19 a.m.
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Description Usage Arguments Value Examples
Description
This function performs k-fold cross validation on a random forest model generated from internal data on penguins. Model trained is body_mass_g ~ bill_length_mm + bill_depth_mm + flipper_length_mm and number of trees is 100. User can specify the number of folds to be used.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
A numeric indicating the number of folds |
Value
Returns average mean squared error of the random forest model across all k folds from k-fold cross-validation
Examples
1 2 |
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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