scorecard_ply: Score Transformation

In scorecard: Credit Risk Scorecard

Score Transformation

Description

scorecard_ply calculates credit score using the results from scorecard.

Usage

scorecard_ply(dt, card, only_total_score = TRUE, print_step = 0L,
  replace_blank_na = TRUE, var_kp = NULL)

Arguments

dt	A data frame, which is the original dataset for training model.
card	A data frame or a list of data frames. It's the scorecard generated from the function scorecard.
only_total_score	Logical, Defaults to TRUE. If it is TRUE, then the output includes only total credit score; Otherwise, if it is FALSE, the output includes both total and each variable's credit score.
print_step	A non-negative integer. Defaults to 1. If print_step>0, print variable names by each print_step-th iteration. If print_step=0, no message is print.
replace_blank_na	Logical. Replace blank values with NA. Defaults to TRUE. This argument should be the same with woebin's.
var_kp	Name of force kept variables, such as id column. Defaults to NULL.

Value

A data frame in score values

See Also

scorecard scorecard2

Examples

# load germancredit data
data("germancredit")
# filter variable via missing rate, iv, identical value rate
dtvf = var_filter(germancredit, "creditability")
# split into train and test
dtlst = split_df(dtvf, y = 'creditability')
# binning
bins = woebin(dtlst$train, "creditability")
# scorecard
card = scorecard2(bins=bins, dt=dtlst$train, y='creditability')

# credit score
# Example I # only total score
score1 = scorecard_ply(germancredit, card)

# Example II # credit score for both total and each variable
score2 = scorecard_ply(germancredit, card, only_total_score = FALSE)

scorecard documentation built on Aug. 8, 2023, 5:07 p.m.