my_rf_cv: Random forest cross-validation function
In marcradke/StatsTools: Tools For Statistical Inference And Prediction
Description
Usage
Arguments
Value
Examples
Description
Using the palmerpenguins data, predicts body mass with covariates bill length,
bill depth, and flipper length by the random forest algorithm and performs
cross-validation on the model.
Usage
1
my_rf_cv(k)
Arguments
k
Integer representing the number of folds.
Value
A numeric with the cross-validation error.
Examples
1
my_rf_cv(5)
marcradke/StatsTools documentation built on Dec. 21, 2021, 1:51 p.m.
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Description Usage Arguments Value Examples
Description
Using the palmerpenguins data, predicts body mass with covariates bill length, bill depth, and flipper length by the random forest algorithm and performs cross-validation on the model.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
Integer representing the number of folds. |
Value
A numeric with the cross-validation error.
Examples
1 | my_rf_cv(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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