my_rf_cv: Random Forest Cross-Validation Function
In achew20/project3Package2021: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
Predicts an output class of a given training data using the Random Forest
statistical prediction method and cross-validation.
Usage
1
my_rf_cv(k)
Arguments
k
Numeric value representing the number of folds for cross-validation.
Value
Numeric value representing the cross-validation error.
Examples
1
my_rf_cv(5)
achew20/project3Package2021 documentation built on Dec. 18, 2021, 10:22 p.m.
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Description Usage Arguments Value Examples
Description
Predicts an output class of a given training data using the Random Forest statistical prediction method and cross-validation.
Usage
1 | my_rf_cv(k)
|
Arguments
k |
Numeric value representing the number of folds for cross-validation. |
Value
Numeric value representing 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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