lines.PerformanceUplift {tools4uplift}

Qini curve

Description

Curve of the function Qini, the incremental observed uplift with respect to predicted uplift sorted from the highest to the lowest.

Usage

## S3 method for class 'PerformanceUplift'
lines(x, ...)

Arguments

x

a table that must be the output of PerformanceUplift function.

...

additional plot arguments.

Value

a Qini curve and the associated Qini coefficient

Author(s)

Mouloud Belbahri

References

Radcliffe, N. (2007). Using control groups to target on predicted lift: Building and assessing uplift models. Direct Marketing Analytics Journal, An Annual Publication from the Direct Marketing Association Analytics Council, pages 14-21.

Belbahri, M., Murua, A., Gandouet, O., and Partovi Nia, V. (2019) Uplift Regression, <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>

See Also

PerformanceUplift

Examples

library(tools4uplift)
data("SimUplift")

model1 <- BinUplift2d(SimUplift, "X1", "X2", "treat", "y")
perf1 <- PerformanceUplift(data = model1, treat = "treat", 
                  outcome = "y", prediction = "Uplift_X1_X2", 
                  equal.intervals = TRUE, nb.group = 3)
                  
model2 <- BinUplift2d(SimUplift, "X3", "X4", "treat", "y")
perf2 <- PerformanceUplift(data = model2, treat = "treat", 
                  outcome = "y", prediction = "Uplift_X3_X4", 
                  equal.intervals = TRUE, nb.group = 3)
                  
plot(perf1, type='b')
lines(perf2, type='b', col='red')