empCreditScoring: empCreditScoring

In EMP: Expected Maximum Profit Classification Performance Measure

empCreditScoring

Description

Estimates the EMP for credit risk scoring, considering constant ROI and a bimodal LGD function with point masses p0 and p1 for no loss and total loss, respectively.

Usage

empCreditScoring(scores, classes, p0=0.55, p1=0.1, ROI=0.2644)

Arguments

scores	A vector of predicted probabilities.
classes	A vector of true binary class labels.
p0	Percentage of cases on the first point mass of the LGD distribution (complete recovery).
p1	Percentage of cases on the second point mass of the LGD distribution (complete loss).
ROI	Constant ROI per granted loan. A percentage.

Value

An EMP object with two components.

EMP	The Expected Maximum Profit of the ROC curve at EMPfrac cutoff.
EMPfrac	The percentage of cases that should be excluded, that is, the percentual cutoff at EMP profit.

Author(s)

Cristian Bravo, Seppe vanden Broucke and Thomas Verbraken.

References

Verbraken, T., Wouter, V. and Baesens, B. (2013). A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models. Knowledge and Data Engineering, IEEE Transactions on. 25 (5): 961-973. Available Online: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/TKDE.2012.50")} Verbraken, T., Bravo, C., Weber, R. and Baesens, B. (2014). Development and application of consumer credit scoring models using profit-based classification measures. European Journal of Operational Research. 238 (2): 505 - 513. Available Online: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ejor.2014.04.001")}

See Also

See Also empChurn, prediction.

Examples

# Construct artificial probability scores and true class labels
score.ex <- runif(1000, 0, 1)
class.ex <- unlist(lapply(score.ex, function(x){rbinom(1,1,x)}))

# Calculate EMP measures for credit risk scoring
empCreditScoring(score.ex, class.ex)

# Calculate EMP measures for credit risk scoring with point masses
# in 0.1 and 0.9, and 0.1 ROI
empCreditScoring(score.ex, class.ex, 0.1, 0.1, 0.1)

EMP documentation built on June 8, 2025, 1:52 p.m.