ScorecardProfet: Scorecard Builder

In Rprofet: WOE Transformation and Scorecard Builder

Description

Function that fits a logistic regression models and scores points for each bin and calculates observations' total score.

Usage

ScorecardProfet(
  object,
  target,
  id,
  varcol,
  PDO = 100,
  BaseOdds = 10,
  BasePts = 1000,
  reverse = FALSE
)

Arguments

object	A WOEProfet object containing dataframes with binned and WOE values.
target	A binary target variable.
id	ID variable.
varcol	Vector of WOE variables to be used in the logistic regression model.
PDO	Points to Double Odds.
BaseOdds	Base Odds.
BasePts	Base Points.
reverse	Logical. If true, higher points corresponds to a lower probability of being target.

Value

A list with the following components.

Scorecard	The actual scorecard model. Table with the attribute bins and their corresponding WOE values and the points assigned to each bin.
Results	Dataframe with the bin, WOE value, and points assigned to each attribute and the total score for each observation.
GLMSummary	The summary of the logistic regression model fitted to build the scorecard.

Examples

mydata <- ISLR::Default

mydata$ID = seq(1:nrow(mydata)) ## make the ID variable
mydata$default<-ifelse(mydata$default=="Yes",1,0) ## Creating numeric binary target variable

binned <- BinProfet(mydata, id= "ID", target= "default", num.bins = 5) ## Binning variables

WOE_dat <- WOEProfet(binned, "ID","default", 3:5) ## WOE transformation of bins

Score_dat <- ScorecardProfet(WOE_dat, target="default",
                             id= "ID", PDO = 50, BaseOdds = 10, BasePts = 1000, reverse = TRUE)

Score_dat$GLMSummary
head(Score_dat$Scorecard) ## Less points means more likely to default

Rprofet documentation built on April 1, 2020, 5:11 p.m.