ScoreDataProfet {Rprofet} | R Documentation |
Score a Validation Data Set
Description
Function that scores the validation set using the scorecard from the ScorecardProfet object created by the training set.
Usage
ScoreDataProfet(data, card, id, target)
Arguments
data |
The validation data set, which should be binned in the same way as the scorecard in the card argument. |
card |
A ScorecardProfet object. The object should be created by using the training set split from the same dataframe as the validation set. |
id |
ID variable. |
target |
A binary target variable. |
Value
A dataframe of scored validation set.
Examples
mydata <- ISLR::Default
mydata$ID = seq(1:nrow(mydata)) ## make the ID variable
mydata$default<-ifelse(mydata$default=="Yes",1,0) ## Creating numeric binary target variable
binned <- BinProfet(mydata, id= "ID", target= "default", num.bins = 5) ## Binning variables
WOE_dat <- WOEProfet(binned, "ID","default", 3:5) ## WOE transformation of bins
md <- glm(default ~ student_WOE+balance_WOE+income_WOE, data=WOE_dat$WOE, family="binomial")
summary(md)
Score_card <- ScorecardProfet(object=WOE_dat, id="ID", target="default", GLModel=md,
PDO = 50, BaseOdds = 10, BasePts = 1000, reverse = FALSE)
Score_card ## scorecard
## Scoring the data
# variable names needs to be the same as the Attributes on scorecard
colnames(binned)
colnames(binned)[3:5] <- c("student", "balance", "income") #change the variable name
Score_dat = ScoreDataProfet(data=binned, card=Score_card, id="ID", target="default") #scoring data
head(Score_dat)
[Package Rprofet version 3.1.1 Index]