fpr_fs {forestControl}

False Postivie Rate Feature Selection

Description

Calculate the False Positive Rate (FPR) for each feature using it's selection frequency

Usage

fpr_fs(x)

Arguments

x

a randomForest or ranger object

Value

a tibble of selection frequencies and their false positive rate

Author(s)

Jasen Finch [e-mail]

Examples

library(randomForest)
data(iris)
iris.rf <- randomForest(iris[,-5], iris[,5], forest = TRUE)

iris.features <- fpr_fs(iris.rf)
print(iris.features)