bin: Binning Continous Varaibles Based on Information value

In siyuany/autobin: Variables Binning for Scorecards Development

Description

bin bins a continous variable by maximizing the infomation value.

Usage

bin(...)

## Default S3 method:
bin(target, predictor, nbin = 5,
  early_stop_threshold = NA, min.node.pct = 0.05, p = 0.05,
  single.values = NULL, ...)

## S3 method for class 'data.frame'
bin(df, y, x, ...)

Arguments

target	the response variable
predictor	the continous variable to bin
nbin	numbers of binning
early_stop_threshold	iv increasing value less than the threshold will cause the binning process stopped. If not NA, nbin will be ignored.
min.node.pct	the smallest sample proportion of the bins
p	p value used for fisher test rejection
single.values	some values will be split as a level
df	a data frame
y	name of target variable
x	name of predictor

Value

a bin object

cuts the cut points IV the information value WOE the weight of evidence tagble

Methods (by class)

• default: bin.default

• data.frame: bin.data.frame

siyuany/autobin documentation built on May 29, 2019, 11 p.m.