my_rf_cv: random forest function
In RuofengT/stat302package: Project 3 Stat 302
Description
Usage
Arguments
Value
Examples
Description
This function performs random forest algorithm with k-fold cross validation.
Usage
1
my_rf_cv(train, k_cv)
Arguments
train
input data frame
k_cv
integer representing the number of folds
Value
a numeric with the cross-validation error
Examples
1
2
3
dat <- na.omit(my_penguins[, c("body_mass_g", "bill_length_mm",
"bill_depth_mm", "flipper_length_mm")])
my_rf_cv(dat, 2)
RuofengT/stat302package documentation built on Dec. 18, 2021, 11:54 a.m.
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Description Usage Arguments Value Examples
Description
This function performs random forest algorithm with k-fold cross validation.
Usage
1 | my_rf_cv(train, k_cv)
|
Arguments
train |
input data frame |
k_cv |
integer representing the number of folds |
Value
a numeric with the cross-validation error
Examples
1 2 3 | dat <- na.omit(my_penguins[, c("body_mass_g", "bill_length_mm",
"bill_depth_mm", "flipper_length_mm")])
my_rf_cv(dat, 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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