Description Usage Arguments Value Author(s) References See Also Examples
Curve of the function Qini, the incremental observed uplift with respect to predicted uplift sorted from the highest to the lowest.
1 2 |
x |
a table that must be the output of |
... |
additional plot arguments. |
a Qini curve and the associated Qini coefficient
Mouloud Belbahri
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>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | 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')
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