my_rf_cv: Random Forest Cross-Validation
In samcho11/STAT302package: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
This function splits the data into k groups for evaluating test set and
training sets to predict the best value by random forest algorithm
Usage
1
my_rf_cv(k)
Arguments
k
Number of folds
Value
Average mean squared error across all k folds.
Examples
1
my_rf_cv(5)
samcho11/STAT302package documentation built on Dec. 22, 2021, 10:10 p.m.
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Description Usage Arguments Value Examples
Description
This function splits the data into k groups for evaluating test set and training sets to predict the best value by random forest algorithm
Usage
1 | my_rf_cv(k)
|
Arguments
k |
Number of folds |
Value
Average mean squared error across all k folds.
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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