my_rf_cv: My Random Forest Cross-Validation
In hugoliao330/stat302util: Utilities for STAT302 at UW
Description
Usage
Arguments
Value
Description
This will predict an output using the covariates within the training data
train.
Usage
1
my_rf_cv(trainx, trainy, k)
Arguments
trainx
input data frame containing columns of predictor variables.
trainy
response vector with length equal to number of rows of
trainx
k
number of cross-validation folds.
Value
a numeric with the cross-validation error.
hugoliao330/stat302util documentation built on March 18, 2020, 12:12 a.m.
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.
Description Usage Arguments Value
Description
This will predict an output using the covariates within the training data
train.
Usage
1 | my_rf_cv(trainx, trainy, k)
|
Arguments
trainx |
input data frame containing columns of predictor variables. |
trainy |
response vector with length equal to number of rows of
|
k |
number of cross-validation folds. |
Value
a numeric with the cross-validation error.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.