bins_unsupervised: Unsupervised Automatic Binning Function By setting bin_nums,...

In autoScorecard: Fully Automatic Generation of Scorecards

Unsupervised Automatic Binning Function By setting bin_nums, perform three unsupervised automatic binning

Description

Unsupervised Automatic Binning Function By setting bin_nums, perform three unsupervised automatic binning

Usage

bins_unsupervised(
  df,
  id,
  label,
  methods = c("k_means", "equal_width", "equal_freq"),
  bin_nums
)

Arguments

df	A data.frame with independent variables and target variable.
id	A name of index.
label	A name of target variable.
methods	Simultaneously calculate three kinds of unsupervised binning("k_means","equal_width","equal_freq" ), the parameters only determine the final output result.
bin_nums	Number of bins.

Value

A data frame, 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  )

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