my_rf_cv: Random Forest Cross Validation
In BenjaminLowry/project3package: Data Analysis Package
Description
Usage
Arguments
Value
Examples
Description
Performs random forest cross validation on the "penguins" data set,
predicting "body_mass_g" with covariates "bill_length_mm", "bill_depth_mm",
and "flipper_length_mm", with 100 trees.
Usage
1
my_rf_cv(k)
Arguments
k
Numeric denoting number of folds to use in the cross validation.
Value
Numeric that is the mean squared error of predicted values compared
to true body mass.
Examples
1
2
BenjaminLowry/project3package documentation built on March 21, 2021, 4:34 a.m.
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Description Usage Arguments Value Examples
Description
Performs random forest cross validation on the "penguins" data set, predicting "body_mass_g" with covariates "bill_length_mm", "bill_depth_mm", and "flipper_length_mm", with 100 trees.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
Numeric denoting number of folds to use in the cross validation. |
Value
Numeric that is the mean squared error of predicted values compared to true body mass.
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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