CustomerScoringMetrics (version 1.0.0)

cumGainsTable: Calculates cumulative gains table

Description

Calculates a cumulative gains (cumulative lift) table, showing for different percentiles of predicted scores the percentage of customers with the behavior or characterstic of interest is reached.

Usage

cumGainsTable(predTest, depTest, resolution = 1/10)

Arguments

predTest

Vector with predictions (real-valued or discrete)

depTest

Vector with true class labels

resolution

Value for the determination of percentile intervals. Default 1/10 (10%).

Value

A gain percentage table.

References

Linoff, G.S. and Berry, M.J.A (2011): "Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Third Edition". John Wiley & Sons.

See Also

topDecileLift, liftIndex, liftChart

Examples

# NOT RUN {
## Load response modeling predictions
data("response")
## Apply cumGainsTable function to obtain cumulative gains table for test sample results
## and print results
cgt<-cumGainsTable(response$test[,2],response$test[,1])
print(cgt)

# }