f_rf_auc_balanced {collinear} | R Documentation |
AUC of Random Forest model of a balanced binary response
Description
Computes a univariate random forest model cases via \link[ranger]{ranger}
and returns the Area Under the Curve on the out-of-bag data.
Usage
f_rf_auc_balanced(x, y, df)
Arguments
x |
(required, character string) name of the predictor variable. |
y |
(required, character string) name of the binary response variable |
df |
(required, data frame) data frame with the columns 'x' and 'y'. |
Value
Area Under the Curve
Examples
data(vi)
#subset to limit example run time
vi <- vi[1:1000, ]
#this example requires "ranger" installed in the system
if(requireNamespace(package = "ranger", quietly = TRUE)){
f_rf_auc_balanced(
x = "growing_season_length", #predictor
y = "vi_binary", #response
df = vi
)
}
[Package collinear version 1.1.1 Index]