best_iv: Calculate the Best IV Value for the Binned Data

In autoScorecard: Fully Automatic Generation of Scorecards

Calculate the Best IV Value for the Binned Data

Description

Calculate the Best IV Value for the Binned Data

Usage

best_iv(df, variable, bin, method, label_iv)

Arguments

df	A data.frame with independent variables and target variable.
variable	Name of variable.
bin	Name of bins.
method	Name of method.
label_iv	Name of IV.

Value

A data frame of best IV, including the contents of the bin, the upper bound of the bin, the lower bound of the bin, and all the contents returned by the get_IV function.

Examples

accepts <- read.csv( system.file( "extdata" , "accepts.csv" , package = "autoScorecard" ))
feature <- stats::na.omit( accepts[,c(1,3,7:23)] )
f_1 <-bins_unsupervised(  df = feature , id="application_id" , label="bad_ind" ,
methods = c("k_means", "equal_width","equal_freq"  )  ,  bin_nums=10  )
best1 <- best_iv( df=f_1 ,bin=c('bins') ,  method = c('method') ,
variable= c( "variable" )  ,label_iv='miv'  )

autoScorecard documentation built on July 9, 2023, 5:32 p.m.